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Volumn , Issue , 2007, Pages 1-281

Multi-sensor data fusion: An introduction

(1)  Mitchell, H B a  

a NONE

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EID: 84892091889     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-540-71559-7     Document Type: Book
Times cited : (352)

References (361)
  • 4
    • 0141975365 scopus 로고    scopus 로고
    • Bayesian inference in processing experimental data: Principles and basic applications
    • D'Agostini G. (2003) Bayesian inference in processing experimental data: principles and basic applications. Reports on Progress in Physics 66: pp. 1383-1419.
    • (2003) Reports on Progress in Physics , vol.66 , pp. 1383-1419
    • D'Agostini, G.1
  • 8
    • 33749266293 scopus 로고    scopus 로고
    • PhD thesis, Departement d'Electricite, Universite Catholique de Louvain, Belgium
    • Archambeau C. (2005) Probabilistic models in noisy environments. PhD thesis, Departement d'Electricite, Universite Catholique de Louvain, Belgium.
    • (2005) Probabilistic Models in Noisy Environments
    • Archambeau, C.1
  • 11
    • 35148884633 scopus 로고    scopus 로고
    • Spatialboost: Adding spatial reasoning to ada boost
    • Graz, Austria, May 7-13
    • Avidan S. (2006) SpatialBoost: Adding spatial reasoning to Ada Boost. Proceedings 9th European Conference on Computer Vision, Graz, Austria, May 7-13, pp. 780-785.
    • (2006) Proceedings 9th European Conference on Computer Vision , pp. 780-785
    • Avidan, S.1
  • 19
    • 10344230435 scopus 로고    scopus 로고
    • Molecular similarity: A key technique in molecular informatics
    • Bender A., Glen R. C. (2004) Molecular similarity: A key technique in molecular informatics. Org. Biomol. Chem. 2: pp. 3204-3218.
    • (2004) Org. Biomol. Chem. , vol.2 , pp. 3204-3218
    • Bender, A.1    Glen, R.C.2
  • 20
    • 1542347788 scopus 로고    scopus 로고
    • Using asymmetric distributions to improve text classifier probability estimates
    • July 28-Aug 1, 2003, Toronto, Canada
    • Bennett P. N. (2003) Using asymmetric distributions to improve text classifier probability estimates. SIGIR '03 July 28-Aug 1, 2003, Toronto, Canada.
    • (2003) SIGIR '03
    • Bennett, P.N.1
  • 21
    • 51649134515 scopus 로고
    • An overview of robust bayesian analysis
    • Berger J. (1994) An overview of robust Bayesian analysis. Test 3: pp. 5-124.
    • (1994) Test , vol.3 , pp. 5-124
    • Berger, J.1
  • 25
  • 28
    • 34547681006 scopus 로고    scopus 로고
    • Regularization and averaging of the selective naive bayes classifier
    • Vancouver, Canada July 16-21
    • Boulle M. (2006) Regularization and averaging of the selective naive Bayes classifier. In: Proceedings of 2006 International Joint Conference on Neural Networks, Vancouver, Canada July 16-21, pp. 2989-2997.
    • (2006) Proceedings of 2006 International Joint Conference on Neural Networks , pp. 2989-2997
    • Boulle, M.1
  • 35
    • 0036522482 scopus 로고    scopus 로고
    • A feature-based technique for joint, linear estimation of high-order image-to-mosaic transformations: Mosaicing the curved human retina
    • Can A., Stewart C. V., Roysam B., Tanenbaum H. L. (2002). A feature-based technique for joint, linear estimation of high-order image-to-mosaic transformations: mosaicing the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence 24: pp. 412-419.
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , pp. 412-419
    • Can, A.1    Stewart, C.V.2    Roysam, B.3    Tanenbaum, H.L.4
  • 37
    • 0032208030 scopus 로고    scopus 로고
    • The semivariogram in comparison to the co-occurence matrix for classification of image texture
    • Carr J. R., Miranda F. P. (1998) The semivariogram in comparison to the co-occurence matrix for classification of image texture. IEEE Transaction on Geoscience and Remote Sensing 36: pp.1945-1952.
    • (1998) IEEE Transaction on Geoscience and Remote Sensing , vol.36 , pp. 1945-1952
    • Carr, J.R.1    Miranda, F.P.2
  • 41
    • 17644418756 scopus 로고    scopus 로고
    • Feature extraction approaches based on matrix pattern: MATPCA and MATFLDA
    • Chen S. C., Zhu Y. L., Zhang D. Q., Yang J. Y. (2005) Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognition Letters 26 pp. 1157-1167.
    • (2005) Pattern Recognition Letters , vol.26 , pp. 1157-1167
    • Chen, S.C.1    Zhu, Y.L.2    Zhang, D.Q.3    Yang, J.Y.4
  • 42
    • 0036857347 scopus 로고    scopus 로고
    • Estimation under unknown correlation: Covariance intersection revisited
    • Chen L., Arambel P. O., Mehra R. K. (2002) Estimation under unknown correlation: covariance intersection revisited. IEEE Transactions on Automatic Control 47: pp. 1879-1882.
    • (2002) IEEE Transactions on Automatic Control , vol.47 , pp. 1879-1882
    • Chen, L.1    Arambel, P.O.2    Mehra, R.K.3
  • 44
    • 0141563859 scopus 로고    scopus 로고
    • Temporal registration of video sequences (2003)
    • Hong Kong, China, April 2003
    • Cheng H. (2003) Temporal registration of video sequences (2003) Proceedings ICASSP '03, Hong Kong, China, April 2003.
    • (2003) Proceedings ICASSP '03
    • Cheng, H.1
  • 45
    • 4344611617 scopus 로고    scopus 로고
    • A review of video registration for watermark detection in digital cimema applications
    • Vancouver, British Columbia, Canada
    • Cheng H. (2004) A review of video registration for watermark detection in digital cimema applications. Proceedings ISCAS, Vancouver, British Columbia, Canada pp. 704-707.
    • (2004) Proceedings ISCAS , pp. 704-707
    • Cheng, H.1
  • 46
    • 2442543154 scopus 로고    scopus 로고
    • Alternative linear discriminant classifier
    • Chen S., Yang X. (2004) Alternative linear discriminant classifier. Pattern Recognition 37: pp. 1545-1547.
    • (2004) Pattern Recognition , vol.37 , pp. 1545-1547
    • Chen, S.1    Yang, X.2
  • 48
    • 13844298045 scopus 로고    scopus 로고
    • Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information
    • Chow T. W. S., Huang D. (2005) Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information. IEEE Transactions on Neural Networks 16: pp. 213-224.
    • (2005) IEEE Transactions on Neural Networks , vol.16 , pp. 213-224
    • Chow, T.W.S.1    Huang, D.2
  • 49
    • 34548775498 scopus 로고    scopus 로고
    • Kalman filter with outliers and missing observations
    • Cipra T., Romera R. (1997) Kalman filter with outliers and missing observations. Test 6: pp. 379-395.
    • (1997) Test , vol.6 , pp. 379-395
    • Cipra, T.1    Romera, R.2
  • 51
    • 0027543099 scopus 로고
    • A review of statistical data association techniques for motion correspondence
    • Cox I. J. (1993) A review of statistical data association techniques for motion correspondence. International Journal Computer Vision 10: pp. 53-66.
    • (1993) International Journal Computer Vision , vol.10 , pp. 53-66
    • Cox, I.J.1
  • 53
    • 4243695412 scopus 로고    scopus 로고
    • Overfitting and diversity in classification ensembles based on feature selection
    • Trinity College, Dublin, Ireland
    • Cunningham P. (2005) Overfitting and diversity in classification ensembles based on feature selection. Technical Report TCD-CS-2005-17, Department of Computer Science, Trinity College, Dublin, Ireland.
    • (2005) Technical Report TCD-CS-2005-17, Department of Computer Science
    • Cunningham, P.1
  • 54
    • 0033225867 scopus 로고    scopus 로고
    • An estimator for the mutual information based on a criterion for independence
    • Darbellay G. A. (1999) An estimator for the mutual information based on a criterion for independence. Journal of Computational Statistics and Data Analysis 32: pp. 1-17.
    • (1999) Journal of Computational Statistics and Data Analysis , vol.32 , pp. 1-17
    • Darbellay, G.A.1
  • 55
    • 0032641874 scopus 로고    scopus 로고
    • Estimation of the information by an adaptive partitioning of the observation space
    • Darbellay G. A., Vajda I. (1999) Estimation of the information by an adaptive partitioning of the observation space. IEEE Transactions on Information Theory 45: pp. 1315-1321.
    • (1999) IEEE Transactions on Information Theory , vol.45 , pp. 1315-1321
    • Darbellay, G.A.1    Vajda, I.2
  • 56
    • 0004197578 scopus 로고
    • Published by IEEE Computer Society Press, Los Alamitos, CA
    • Dasarathy B. V. (1994) Decision Fusion. Published by IEEE Computer Society Press, Los Alamitos, CA, 90720-1264.
    • (1994) Decision Fusion , pp. 90720-91264
    • Dasarathy, B.V.1
  • 58
    • 0034985563 scopus 로고    scopus 로고
    • Background estimation using a robust bayesian analysis
    • David W. I. F., Sivia D. S. (2001) Background estimation using a robust Bayesian analysis. Journal of Applied Crystallography 34: pp. 318-324.
    • (2001) Journal of Applied Crystallography , vol.34 , pp. 318-324
    • David, W.I.F.1    Sivia, D.S.2
  • 63
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple bayesian classifier under zero-one loss
    • Domingos P., Pazzani M. (1997) On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning 29: pp. 103-130.
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 64
    • 0142010102 scopus 로고    scopus 로고
    • Bayesian inference in physics: Case studies
    • Dose V. (2003) Bayesian inference in physics: case studies. Reports on Progress in Physics 66: pp. 1421-1461.
    • (2003) Reports on Progress in Physics , vol.66 , pp. 1421-1461
    • Dose, V.1
  • 65
    • 0002971429 scopus 로고    scopus 로고
    • Outlier tolerant parameter estimation
    • Eds. Dose V. et. al., Published by Kluwer Academic Publishers, Dordrecht
    • Dose V., LindenVonder, W. (1999) Outlier tolerant parameter estimation. In: Maximum Entropy and Bayesian Methods (Eds. Dose V. et. al.). Published by Kluwer Academic Publishers, Dordrecht.
    • (1999) Maximum Entropy and Bayesian Methods
    • Dose, V.1    Linden Von Der, W.2
  • 68
    • 0023418302 scopus 로고
    • Consistent integration and propagation of disparate sensor observations
    • Durrant-Whyte H. F. (1987) Consistent integration and propagation of disparate sensor observations. International Journal of Robotics Research 6: pp. 3-24.
    • (1987) International Journal of Robotics Research , vol.6 , pp. 3-24
    • Durrant-Whyte, H.F.1
  • 73
    • 4544350345 scopus 로고    scopus 로고
    • PhD thesis, Institut fur Technische Informatik, Technischen Universitat Wien
    • Elmenreich W. (2002) Sensor fusion in time-triggered systems PhD thesis, Institut fur Technische Informatik, Technischen Universitat Wien.
    • (2002) Sensor Fusion in Time-triggered Systems
    • Elmenreich, W.1
  • 78
    • 84972543992 scopus 로고
    • Methods for approximating integrals in statistics with special emphasis on bayesian integration problems
    • Evans M., Swartz T. (1995) Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems. Statistical Science 10: pp. 254-272.
    • (1995) Statistical Science , vol.10 , pp. 254-272
    • Evans, M.1    Swartz, T.2
  • 79
    • 31344477352 scopus 로고    scopus 로고
    • Nonintrusive speech quality estimation using gaussian mixture models
    • Falk T. H., Chan W-Y (2006) Nonintrusive speech quality estimation using Gaussian mixture models. IEEE Signal Processing Letters 13: pp. 108-111.
    • (2006) IEEE Signal Processing Letters , vol.13 , pp. 108-111
    • Falk, T.H.1    Chan, W.-Y.2
  • 80
    • 20544444481 scopus 로고    scopus 로고
    • Exact bayesian curve fitting and signal segmentation
    • Fearnhead P. (2005) Exact Bayesian curve fitting and signal segmentation. IEEE Transactions on Signal Processing. 53: pp. 2160-2166.
    • (2005) IEEE Transactions on Signal Processing , vol.53 , pp. 2160-2166
    • Fearnhead, P.1
  • 82
    • 84883233309 scopus 로고    scopus 로고
    • Data mining with products of trees
    • Eds. Hoffman F. Hand D. J. Adams N. Fisher D. and Guimaraes G., Published by Springer, Berlin, Germany
    • Ferreira J. T. A. S., Denison D. G. T., Hand D. J. (2001) Data mining with products of trees. In: Advances in Intelligent data analysis (Eds. Hoffman F., Hand D. J., Adams N., Fisher D. and Guimaraes G.) pp. 167-176. Published by Springer, Berlin, Germany.
    • (2001) Advances in Intelligent Data Analysis , pp. 167-176
    • Ferreira, J.T.A.S.1    Denison, D.G.T.2    Hand, D.J.3
  • 84
    • 0008466550 scopus 로고    scopus 로고
    • Bayesian methods in signal and image processing
    • Eds. J. M. Bernardo et. al., Published by Oxford University Press, Oxford, England
    • Fitzgerald W. J., Godsill S. J., Kokaram A. C., Stark J. A. (1999) Bayesian methods in signal and image processing. In: Bayesian Statistics 6 (Eds. J. M. Bernardo et. al.). Published by Oxford University Press, Oxford, England.
    • (1999) Bayesian Statistics , vol.6
    • Fitzgerald, W.J.1    Godsill, S.J.2    Kokaram, A.C.3    Stark, J.A.4
  • 85
    • 84891974002 scopus 로고    scopus 로고
    • Particle filter and gaussianmixture filter efficiency evaluation for terrain-aided navigation
    • Sept. 6-10, 2004, Vienna, Austria
    • Flament M., Fleury G., Davoust M.-E. (2004) Particle filter and Gaussianmixture filter efficiency evaluation for terrain-aided navigation. XII European Signal Processing Conference EUSIPCO 2004, Sept. 6-10, 2004, Vienna, Austria.
    • (2004) XII European Signal Processing Conference EUSIPCO 2004
    • Flament, M.1    Fleury, G.2    Davoust, M.-E.3
  • 90
    • 34548696055 scopus 로고
    • Independent coordinates for strange attractors from mutual information
    • Fraser A. M., Swinney H. L. (1986) Independent coordinates for strange attractors from mutual information. Phys Rev A33: pp. 1134-1140.
    • (1986) Phys Rev , vol.A33 , pp. 1134-1140
    • Fraser, A.M.1    Swinney, H.L.2
  • 92
    • 21744462998 scopus 로고    scopus 로고
    • On bias, variance 0/1-loss and the curse of dimensionality
    • Friedman J. H. (1997) On bias, variance 0/1-loss and the curse of dimensionality. Data Mining and Knowledge Discovery 1: pp. 55-77.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 55-77
    • Friedman, J.H.1
  • 93
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • Friedman J., Hastie T. and Tibshirani R. (2000) Additive logistic regression: A statistical view of boosting. Annals of Statistics 38: pp. 337-374.
    • (2000) Annals of Statistics , vol.38 , pp. 337-374
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 95
    • 0041866831 scopus 로고    scopus 로고
    • A one-dimensional kalman filter for the correction of near surface temperature forecasts
    • Galanis G., Anadranistakis M. (2002) A one-dimensional Kalman filter for the correction of near surface temperature forecasts. Meteorological Applications 9: pp. 437-441.
    • (2002) Meteorological Applications , vol.9 , pp. 437-441
    • Galanis, G.1    Anadranistakis, M.2
  • 97
    • 0036720244 scopus 로고    scopus 로고
    • Some remarks on kalman filters for the multisensor fusion
    • Gao J. B., Harris C. J. (2002) Some remarks on Kalman filters for the multisensor fusion. Information Fusion 3: pp. 191-201.
    • (2002) Information Fusion , vol.3 , pp. 191-201
    • Gao, J.B.1    Harris, C.J.2
  • 101
    • 32644438961 scopus 로고    scopus 로고
    • Comparying and unifying slope estimates across pyschometric function models
    • Gilchrist J. M., Jerwood D., Ismaiel H. S. (2005) Comparying and unifying slope estimates across pyschometric function models. Perception and Psychophysics 67: pp. 1289-1303.
    • (2005) Perception and Psychophysics , vol.67 , pp. 1289-1303
    • Gilchrist, J.M.1    Jerwood, D.2    Ismaiel, H.S.3
  • 103
    • 0003102354 scopus 로고    scopus 로고
    • Similarity searching in files of three-dimensional chemical structures: Evaluation of the EVA descriptor and combination of rankings using data fusion
    • Ginn C. M. R., Turner D. B., Willett P., Ferguson A. M., Heritage T. W. (1997) Similarity searching in files of three-dimensional chemical structures: Evaluation of the EVA descriptor and combination of rankings using data fusion. Journal of Chemical Information and Computer Sciences 37: 23-37.
    • (1997) Journal of Chemical Information and Computer Sciences , vol.37 , pp. 23-37
    • Ginn, C.M.R.1    Turner, D.B.2    Willett, P.3    Ferguson, A.M.4    Heritage, T.W.5
  • 105
    • 0032896846 scopus 로고    scopus 로고
    • Geostatistics in soil science: State-of-the-art and perspectives
    • Goovaerts P. (1999) Geostatistics in soil science: State-of-the-art and perspectives. Geoderma 89: pp. 1-45.
    • (1999) Geoderma , vol.89 , pp. 1-45
    • Goovaerts, P.1
  • 106
    • 0034696138 scopus 로고    scopus 로고
    • Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall
    • Goovaerts P. (2000) Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of Hydrology 228: pp. 113-129.
    • (2000) Journal of Hydrology , vol.228 , pp. 113-129
    • Goovaerts, P.1
  • 107
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to to variable and feature selection
    • Guyon I., Elisseeff A. (2003) An introduction to to variable and feature selection. Journal of Machine Learning Research 3: pp. 1157-1182.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 112
    • 10044285992 scopus 로고    scopus 로고
    • Canonical correlation analysis: An overview with application to learning methods
    • Hardoon D. R., Szedmak S., Shawe-Taylor J. (2004) Canonical correlation analysis: An overview with application to learning methods. Neural Computation 16: pp. 2639-2664.
    • (2004) Neural Computation , vol.16 , pp. 2639-2664
    • Hardoon, D.R.1    Szedmak, S.2    Shawe-Taylor, J.3
  • 114
    • 0032355984 scopus 로고    scopus 로고
    • Classification by pairwise coupling
    • Hastie T., Tibshirani R. (1998) Classification by pairwise coupling. Annals of Statistics 26: pp. 451-471.
    • (1998) Annals of Statistics , vol.26 , pp. 451-471
    • Hastie, T.1    Tibshirani, R.2
  • 121
    • 84891974380 scopus 로고    scopus 로고
    • Grouping of coefficients for the calculation of inter-molecular similarity and dissimilarity using 2D fragment bit-strings
    • Holliday J. D., Hu C.-Y., Willett P. (2001) Grouping of coefficients for the calculation of inter-molecular similarity and dissimilarity using 2D Fragment bit-strings. Combinatorial Chemistry and Computer Sciences 42: pp. 375-385.
    • (2001) Combinatorial Chemistry and Computer Sciences , vol.42 , pp. 375-385
    • Holliday, J.D.1    Hu, C.-Y.2    Willett, P.3
  • 122
    • 84892025429 scopus 로고    scopus 로고
    • Multiplicative adjustment of class probability: Educating naive bayes
    • T. J. Watson Research Center, Yorktown Heights, NY
    • Hong S. J., Hosking J., Natarajan R. (2002) Multiplicative adjustment of class probability: Educating naive Bayes. Research Report RC 22393 (W0204-041), IBM Research Division, T. J. Watson Research Center, Yorktown Heights, NY 10598.
    • (2002) Research Report RC 22393 (W0204-041), IBM Research Division , pp. 10598
    • Hong, S.J.1    Hosking, J.2    Natarajan, R.3
  • 124
    • 27744565938 scopus 로고    scopus 로고
    • Solving the small sample size problem in face recognition using generalized discriminant analysis
    • Howland P., Wang J., Park H. (2006) Solving the small sample size problem in face recognition using generalized discriminant analysis. Pattern Recognition 39: pp. 277-287.
    • (2006) Pattern Recognition , vol.39 , pp. 277-287
    • Howland, P.1    Wang, J.2    Park, H.3
  • 126
    • 33644860218 scopus 로고    scopus 로고
    • A linear feature extraction for multiclass classification problems based on class mean and covariance discriminant information
    • Hseih P-F., Wang D-S., Hsu C-W. (2006) A linear feature extraction for multiclass classification problems based on class mean and covariance discriminant information. IEEE Transactions Pattern Analysis and Machine Intelligence 28: pp. 223-235.
    • (2006) IEEE Transactions Pattern Analysis and Machine Intelligence , vol.28 , pp. 223-235
    • Hseih, P.-F.1    Wang, D.-S.2    Hsu, C.-W.3
  • 128
    • 0029230267 scopus 로고
    • A method of combining multiple experts for the recognition of unconstrained handwritten numerals
    • Huang Y. S., Suen C. Y. (1995) A method of combining multiple experts for the recognition of unconstrained handwritten numerals. IEEE Transactions on Pattern Analysis and Machine Intelligence 17 pp. 90-94.
    • (1995) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.17 , pp. 90-94
    • Huang, Y.S.1    Suen, C.Y.2
  • 129
    • 0004262735 scopus 로고
    • Published by John Wiley and Sons, New York
    • Huber P. J. (1981) Robust Statistics. Published by John Wiley and Sons, New York.
    • (1981) Robust Statistics
    • Huber, P.J.1
  • 134
    • 0036363090 scopus 로고    scopus 로고
    • Accuracy of three classifiers of acute gastrointestinal syndrome for syndromic surveillance
    • Philadelpha, Pennsylvania
    • Ivanov O., Wagner M. WM., Chapman W. W., Olszewski R. T. (2002) Accuracy of three classifiers of acute gastrointestinal syndrome for syndromic surveillance. Proceedings AMIA Symposium, Philadelpha, Pennsylvania, pp. 345-349.
    • (2002) Proceedings AMIA Symposium , pp. 345-349
    • Ivanov, O.1    Wagner, M.W.M.2    Chapman, W.W.3    Olszewski, R.T.4
  • 135
    • 0029372769 scopus 로고
    • Methods for combining experts' probability assessments
    • Jacobs R. A. (1995) Methods for combining experts' probability assessments. Neural Computation 7: pp. 867-888.
    • (1995) Neural Computation , vol.7 , pp. 867-888
    • Jacobs, R.A.1
  • 136
    • 63249112814 scopus 로고
    • Dimensionality and sample size consideration in pattern recognition practice
    • Eds. Krishnaiah P. R. Kanal L. N
    • Jain A. K., Chandrasekaran B. (1982) Dimensionality and sample size consideration in pattern recognition practice. In: Handbook of Statistics 2 (Eds. Krishnaiah P. R., Kanal L. N.) pp. 835-855.
    • (1982) Handbook of Statistics , vol.2 , pp. 835-855
    • Jain, A.K.1    Chandrasekaran, B.2
  • 138
    • 25144471298 scopus 로고    scopus 로고
    • Score normalization in multimodal biometric systems
    • Jain A., Nandakumar K., Ross A. (2005) Score normalization in multimodal biometric systems. Pattern Recognition 38: pp. 2270-2285.
    • (2005) Pattern Recognition , vol.38 , pp. 2270-2285
    • Jain, A.1    Nandakumar, K.2    Ross, A.3
  • 142
    • 0041508633 scopus 로고    scopus 로고
    • Bayesian analysis for fusion of data from disparate imaging systems for surveillance
    • Jones G. D., Allsop R. E., Gilby J. H. (2003) Bayesian analysis for fusion of data from disparate imaging systems for surveillance. Image and Vision Computing 21: pp. 843-849.
    • (2003) Image and Vision Computing , vol.21 , pp. 843-849
    • Jones, G.D.1    Allsop, R.E.2    Gilby, J.H.3
  • 144
    • 85152337321 scopus 로고    scopus 로고
    • General decentralized data fusion with covariance intersection (CI)
    • Eds. Hall D. Llians J., Chapt. 12, CRC Press
    • Julier S., Uhlmann J. (2001) General decentralized data fusion with covariance intersection (CI). In: Handbook of Multidimensional Data Fusion (Eds. Hall D., Llians J.), Chapt. 12, CRC Press.
    • (2001) Handbook of Multidimensional Data Fusion
    • Julier, S.1    Uhlmann, J.2
  • 145
    • 21244437999 scopus 로고    scopus 로고
    • Unscented filtering and nonlinear estimation
    • Julier S. J., Uhlmann J. K. (2004) Unscented filtering and nonlinear estimation. Proceedings IEEE 92: pp. 401-423.
    • (2004) Proceedings IEEE , vol.92 , pp. 401-423
    • Julier, S.J.1    Uhlmann, J.K.2
  • 147
    • 0041748131 scopus 로고
    • Formal rules for selecting prior distributions: A review and annotated bibliography
    • Carnegie Mellon University
    • Kass R. E., Wasserman L. (1994) Formal rules for selecting prior distributions: A review and annotated bibliography. Technical Report 583, Department of Statistics, Carnegie Mellon University.
    • (1994) Technical Report 583, Department of Statistics
    • Kass, R.E.1    Wasserman, L.2
  • 155
    • 0036522489 scopus 로고    scopus 로고
    • Four-dimensional processing of deformable cardiac PET data
    • Klein G. J. (2002) Four-dimensional processing of deformable Cardiac PET data. Medical Image Analysis 6: pp. 29-46.
    • (2002) Medical Image Analysis , vol.6 , pp. 29-46
    • Klein, G.J.1
  • 156
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi R., John G. (1997) Wrappers for feature subset selection. Artificial Intelligence 97: pp. 273-324.
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 157
    • 33750096193 scopus 로고    scopus 로고
    • Efficient variation of algorithm fastiCA for independent component analysis attaining the cramer-rao lower bound
    • Koldovsky Z., Tichavsky P., Oja E. (2006) Efficient variation of algorithm FastICA for independent component analysis attaining the Cramer-Rao lower bound. IEEE Transactions on Neural Networks 17: pp. 1265-1277.
    • (2006) IEEE Transactions on Neural Networks , vol.17 , pp. 1265-1277
    • Koldovsky, Z.1    Tichavsky, P.2    Oja, E.3
  • 158
    • 0031248753 scopus 로고    scopus 로고
    • Improved occupancy grids for map building
    • Konolige K. (1997) Improved occupancy grids for map building. Autonomous Robots 4: pp. 351-367.
    • (1997) Autonomous Robots , vol.4 , pp. 351-367
    • Konolige, K.1
  • 159
    • 0141684229 scopus 로고    scopus 로고
    • The time-triggered architecture
    • Kopetz H., Bauer G. (2003) The time-triggered architecture. Proceedings IEEE 91: pp. 112-126.
    • (2003) Proceedings IEEE , vol.91 , pp. 112-126
    • Kopetz, H.1    Bauer, G.2
  • 161
    • 39749164774 scopus 로고    scopus 로고
    • Estimating mutual information
    • Article No. 066138 Part 2, June 2004
    • Kraskov A., Stogbauer H., Grassberger P. (2004) Estimating mutual information. Physical Review 69E Article No. 066138 Part 2, June 2004.
    • (2004) Physical Review , vol.69 E
    • Kraskov, A.1    Stogbauer, H.2    Grassberger, P.3
  • 162
    • 13444256399 scopus 로고    scopus 로고
    • Sensor management using an active sensing approach
    • Kreucher C., Kastella K., HeroIII A. O. (2005) Sensor management using an active sensing approach. Signal Processing 85: pp.607-624.
    • (2005) Signal Processing , vol.85 , pp. 607-624
    • Kreucher, C.1    Kastella, K.2    Hero III, A.O.3
  • 163
    • 14644422971 scopus 로고    scopus 로고
    • Published by JohnWiley and Sons Ltd, Hoboken, New Jersey
    • Kuncheva L. I. (2004) Combining Pattern Classifiers. Published by JohnWiley and Sons Ltd, Hoboken, New Jersey.
    • (2004) Combining Pattern Classifiers
    • Kuncheva, L.I.1
  • 164
    • 0036933407 scopus 로고    scopus 로고
    • Input feature selection using mutual information based on parzen window
    • Kwak N., Choi C.-H. (2002) Input feature selection using mutual information based on Parzen window. IEEE Pattern Analysis and Machine Intelligence 24: pp. 1667-1671.
    • (2002) IEEE Pattern Analysis and Machine Intelligence , vol.24 , pp. 1667-1671
    • Kwak, N.1    Choi, C.-H.2
  • 171
    • 84957069091 scopus 로고    scopus 로고
    • Naive (bayes) at forty: The independence assumption in information retrieval
    • Chemnitz, Germany, April 21-23
    • Lewis D. D. (1998) Naive (Bayes) at forty: The independence assumption in information retrieval. Proceedings of the 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, pp. 4-15.
    • (1998) Proceedings of the 10th European Conference on Machine Learning , pp. 4-15
    • Lewis, D.D.1
  • 173
    • 14644408830 scopus 로고    scopus 로고
    • 2D-LDA: A novel statistical linear discriminat analysis for image matrix
    • Li M., Yuan B. (2005) 2D-LDA: A novel statistical linear discriminat analysis for image matrix. Pattern Recognition Letters 26: pp. 527-532.
    • (2005) Pattern Recognition Letters , vol.26 , pp. 527-532
    • Li, M.1    Yuan, B.2
  • 175
    • 33144458972 scopus 로고    scopus 로고
    • Efficient and robust feature extraction by maximum margin criterion
    • Li H., Jiang T., Zhang K. (2006) Efficient and Robust Feature Extraction by Maximum Margin Criterion. IEEE Transactions Neural Networks 17: pp. 157-165.
    • (2006) IEEE Transactions Neural Networks , vol.17 , pp. 157-165
    • Li, H.1    Jiang, T.2    Zhang, K.3
  • 178
  • 180
    • 0031765718 scopus 로고    scopus 로고
    • Scintigraphic diagnosis of coronary artery disease: Myocardial bull's-eye images contain the important information
    • Lindhal D., Palmer J., Pettersson J., White T., Lundin A., Edenbrandt L. (1998) Scintigraphic diagnosis of coronary artery disease: myocardial bull's-eye images contain the important information. Clinical Physiology 18: pp. 554-561.
    • (1998) Clinical Physiology , vol.18 , pp. 554-561
    • Lindhal, D.1    Palmer, J.2    Pettersson, J.3    White, T.4    Lundin, A.5    Edenbrandt, L.6
  • 182
    • 3042673775 scopus 로고    scopus 로고
    • Linear dimensionality reduction via a heteroscedastic extension of LDA: The chernoff criterion
    • Loog M., Duin R. P. W.(2004) Linear dimensionality reduction via a heteroscedastic extension of LDA: The Chernoff criterion. IEEE Transactions on Pattern Analysis and Machine Intelligence 26: pp. 732-739.
    • (2004) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.26 , pp. 732-739
    • Loog, M.1    Duin, R.P.W.2
  • 185
    • 67650401752 scopus 로고    scopus 로고
    • Using early-stopping to avoid overfitting in wrapper-based feature selection employing stochastic search
    • Trinity College, Dublin, Ireland
    • Loughrey J., Cunningham P. (2005) Using early-stopping to avoid overfitting in wrapper-based feature selection employing stochastic search. Technical Report TCD-CS-2005-37, Department of Computer Science, Trinity College, Dublin, Ireland.
    • (2005) Technical Report TCD-CS-2005-37, Department of Computer Science
    • Loughrey, J.1    Cunningham, P.2
  • 186
    • 0242408710 scopus 로고    scopus 로고
    • Robust, content-dependent, highfidelity watermark for tracking in digital cinema (2003)
    • Lubin J., Bloom J. A., Cheng H. (2003) Robust, content-dependent, highfidelity watermark for tracking in digital cinema (2003). Proceedings SPIE 5020 pp. 536-545.
    • (2003) Proceedings SPIE , vol.5020 , pp. 536-545
    • Lubin, J.1    Bloom, J.A.2    Cheng, H.3
  • 187
    • 28044436680 scopus 로고    scopus 로고
    • Detector of image orientation based on borda count
    • Lumini A, Nanni L. (2006) Detector of image orientation based on Borda count. Pattern Recognition Letters 27: pp. 180-186.
    • (2006) Pattern Recognition Letters , vol.27 , pp. 180-186
    • Lumini, A.1    Nanni, L.2
  • 188
    • 0142163128 scopus 로고    scopus 로고
    • Multisensor fusion and integration: Approaches, applications and future research directions
    • Luo R. C., Yih C-C, Su K. L. (2002) Multisensor Fusion and Integration: Approaches, Applications and Future Research Directions. IEEE Sensors Journal 2: pp. 107-119.
    • (2002) IEEE Sensors Journal , vol.2 , pp. 107-119
    • Luo, R.C.1    Yih, C.-C.2    Su, K.L.3
  • 189
    • 2442477114 scopus 로고    scopus 로고
    • Medical image registration using mutual information
    • Maes F., Van der Meulen D., Suetens P. (2003) Medical image registration using mutual information. Proceedings IEEE 91: pp. 1699-1722.
    • (2003) Proceedings IEEE , vol.91 , pp. 1699-1722
    • Maes, F.1    Van Der Meulen, D.2    Suetens, P.3
  • 190
    • 0003748256 scopus 로고
    • PhD thesis, California Institute of Technology, Pasadena, California, USA
    • MacKay D. J. C. (1991) Bayesian methods for adaptive models. PhD thesis, California Institute of Technology, Pasadena, California, USA.
    • (1991) Bayesian Methods for Adaptive Models
    • MacKay, D.J.C.1
  • 192
    • 84950945692 scopus 로고
    • Model selection and accounting for model uncertainty in graphical models using occam's window
    • Madigan D. M., Raftery A. E. (1994) Model selection and accounting for model uncertainty in graphical models using Occam's window. Journal of American Statistical Association 89: pp. 1335-1346.
    • (1994) Journal of American Statistical Association , vol.89 , pp. 1335-1346
    • Madigan, D.M.1    Raftery, A.E.2
  • 195
    • 0004211265 scopus 로고    scopus 로고
    • Small sample statistics for classification error rates I: Error rate measurements
    • University of California, Irvine, CA 9297-3425, USA July 2, 1996
    • Martin J. K., Hirschberg D. S. (1996) Small sample statistics for classification error rates I: Error rate measurements. Technical Report No. 96-21, Department of Information and Computer Science, University of California, Irvine, CA 9297-3425, USA July 2, 1996.
    • (1996) Technical Report No. 96-21, Department of Information and Computer Science
    • Martin, J.K.1    Hirschberg, D.S.2
  • 196
    • 0004211265 scopus 로고    scopus 로고
    • Small sample statistics for classification error rates II: Confidence intervals and significance tests
    • University of California, Irvine, CA 9297-3425, USA July 7, 1996
    • Martin J. K., Hirschberg D. S. (1996) Small sample statistics for classification error rates II: confidence intervals and significance tests. Technical Report No. 96-22, Department of Information and Computer Science, University of California, Irvine, CA 9297-3425, USA July 7, 1996.
    • (1996) Technical Report No. 96-22, Department of Information and Computer Science
    • Martin, J.K.1    Hirschberg, D.S.2
  • 204
    • 21944455470 scopus 로고    scopus 로고
    • Robust techniques for computer vision
    • eds. Medioni G. Bing Kang S. Published by Prentice-Hall
    • Meer P. (2004) Robust techniques for computer vision. In: Emerging Topics
    • (2004) Emerging Topics in Computer Vision
    • Meer, P.1
  • 210
    • 0043164386 scopus 로고    scopus 로고
    • Automatic choice of dimensionality for PCA
    • Minka T. P. (2000) Automatic choice of dimensionality for PCA. NIPS 2000.
    • (2000) NIPS 2000
    • Minka, T.P.1
  • 213
    • 84891965816 scopus 로고    scopus 로고
    • Unpublished article, Available from the author's homepage
    • Minka T. P. (2005) Inferring a Gaussian distribution. Unpublished article. Available from the author's homepage.
    • (2005) Inferring a Gaussian Distribution
    • Minka, T.P.1
  • 215
    • 0024062168 scopus 로고
    • Reconstruction filters in computer graphics
    • Mitchell D. P., Netravali A. N. (1988) Reconstruction filters in computer graphics. Comp. Graph. 22: pp. 221-228.
    • (1988) Comp. Graph. , vol.22 , pp. 221-228
    • Mitchell, D.P.1    Netravali, A.N.2
  • 216
    • 0001991026 scopus 로고    scopus 로고
    • Practical aspects of multisensor tracking
    • Bar-Shalom Y. Blair W. D. (Ed), Published by Artech House, Norwood, MA
    • Moore J. R., Blair W. D. (2000) Practical aspects of multisensor tracking. In: Bar-Shalom Y., Blair W. D. (Ed) Multitarget-Multisensor tracking: Applications and Advances, Vol. III, pp. 1-76. Published by Artech House, Norwood, MA.
    • (2000) Multitarget-Multisensor Tracking: Applications and Advances , vol.3 , pp. 1-76
    • Moore, J.R.1    Blair, W.D.2
  • 217
    • 0037283956 scopus 로고    scopus 로고
    • An extended dynamic model for kinematic positioning
    • Moore M., Wang J. (2003) An extended dynamic model for kinematic positioning. Journal of Navigation 56: pp. 79-88.
    • (2003) Journal of Navigation , vol.56 , pp. 79-88
    • Moore, M.1    Wang, J.2
  • 219
    • 0032138429 scopus 로고    scopus 로고
    • Robust sensor fusion: Analysis and applications to audio-visual speech recognition
    • Movellan J. R., Mineiro P. (1998) Robust sensor fusion: Analysis and applications to audio-visual speech recognition. Machine Learning 32: pp. 85-100.
    • (1998) Machine Learning , vol.32 , pp. 85-100
    • Movellan, J.R.1    Mineiro, P.2
  • 221
    • 0003593759 scopus 로고    scopus 로고
    • PhD thesis, California Institute of Technology, Pasadena, California, USA
    • Munich M E. (2000) Visual input for pen-based computers. PhD thesis, California Institute of Technology, Pasadena, California, USA.
    • (2000) Visual Input for Pen-based Computers
    • Munich, M.E.1
  • 223
    • 0242460462 scopus 로고    scopus 로고
    • Unpublished report, Available from authors homepage
    • Murphy K. P. (1998) Switching Kalman Filters. Unpublished report. Available from authors homepage.
    • (1998) Switching Kalman Filters
    • Murphy, K.P.1
  • 227
    • 34748855517 scopus 로고    scopus 로고
    • MSc thesis, Department of Computer Science and Engineering, Michigan State University
    • Nandakumar K. (2005) Integration of multiple cues in biometric systems. MSc thesis, Department of Computer Science and Engineering, Michigan State University.
    • (2005) Integration of Multiple Cues in Biometric Systems
    • Nandakumar, K.1
  • 229
    • 0034365777 scopus 로고    scopus 로고
    • Sensor management - what, why and how
    • Ng G. W., Ng K. H. (2000) Sensor management - what, why and how. Information Fusion 1: pp. 67-75.
    • (2000) Information Fusion , vol.1 , pp. 67-75
    • Ng, G.W.1    Ng, K.H.2
  • 230
  • 234
    • 0033721572 scopus 로고    scopus 로고
    • Integrity according to bayes
    • San Diego, California, March 13-16
    • Ober P. B. (2000) Integrity according to Bayes. IEEE Position Location and Navigation Symposium, pp. 325-332, San Diego, California, March 13-16.
    • (2000) IEEE Position Location and Navigation Symposium , pp. 325-332
    • Ober, P.B.1
  • 240
    • 0008155075 scopus 로고    scopus 로고
    • Searching for dependencies in bayesian classifiers
    • Eds. Fisher D. Lenz H-J., Published by Springer-Verlag
    • Pazzani M. J. (1996) Searching for dependencies in Bayesian classifiers. In: Learning from Data: AI and Statistics (Eds. Fisher D., Lenz H-J.), Published by Springer-Verlag.
    • (1996) Learning from Data: AI and Statistics
    • Pazzani, M.J.1
  • 241
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of max-dependency, max-relevance and min-redundancy
    • Peng H., Long F., Ding C. (2005) Feature selection based on mutual information: criteria of max-dependency, max-relevance and min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence 27: pp. 1226-1238.
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 243
    • 23844555107 scopus 로고    scopus 로고
    • Spatio-temporal free-form registration of cardiac mr image sequences
    • Perperidis D., Mohiaddin R., Rueckert D. (2005) Spatio-temporal free-form registration of cardiac MR image sequences. Medical Image Analysis 9: pp. 441-456.
    • (2005) Medical Image Analysis , vol.9 , pp. 441-456
    • Perperidis, D.1    Mohiaddin, R.2    Rueckert, D.3
  • 245
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • Eds. Smola A. J. Bartlett P. Scholkopf B. Schurmans D, MIT Press
    • Platt J. (1999) Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In: Advances in large Margin Classifiers (Eds. Smola A. J., Bartlett P., Scholkopf B., Schurmans D). MIT Press pp. 61-74.
    • (1999) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.1
  • 248
    • 84892125048 scopus 로고    scopus 로고
    • Replica determinism and flexible scheduling in hard realtime dependable systems
    • Technishe Universitat Wien, Austria
    • Poledna S. (1997) Replica determinism and flexible scheduling in hard realtime dependable systems. Research Report Nr. 21/97 Nov 1997, Institut fur Technische Informatik, Technishe Universitat Wien, Austria.
    • (1997) Research Report Nr. 21/97 Nov 1997, Institut Fur Technische Informatik
    • Poledna, S.1
  • 249
    • 33748611921 scopus 로고    scopus 로고
    • Ensemble based systems in decision making
    • Polikar R. (2006) Ensemble based systems in decision making. IEEE Circuits and Systems Magazine 6, Number 3, pp. 21-45.
    • (2006) IEEE Circuits and Systems Magazine , vol.6 , Issue.3 , pp. 21-45
    • Polikar, R.1
  • 250
    • 84927074216 scopus 로고    scopus 로고
    • Understanding data better with bayesian and global statistical methods
    • Ed. Striker J. P., Princeton University Press
    • Press W. H. (1996) Understanding data better with Bayesian and global statistical methods. Proceedings of conference in honor of John Bahcall (Ed. Striker J. P.). Princeton University Press.
    • (1996) Proceedings of Conference in Honor of John Bahcall
    • Press, W.H.1
  • 251
    • 85153946716 scopus 로고
    • Pairwise neural network classifiers with probabilistic outputs
    • Eds. Tesauro G. Touretzky D. Leen T., The MIT Press, USA
    • Price D., Knerr S., Personnaz L., Dreyfus G. (1995) Pairwise neural network classifiers with probabilistic outputs. In: Neural Information Processing Systems (Eds. Tesauro G., Touretzky D., Leen T.) 7: pp. 1109-1116, The MIT Press, USA.
    • (1995) Neural Information Processing Systems , vol.7 , pp. 1109-1116
    • Price, D.1    Knerr, S.2    Personnaz, L.3    Dreyfus, G.4
  • 253
    • 27144445325 scopus 로고    scopus 로고
    • Taxonomy of multiple target tracking methods
    • Pulford G. W. (2005) Taxonomy of multiple target tracking methods. IEE Proceedings-Radar, Sonar Navig 152: pp. 291-304.
    • (2005) IEE Proceedings-Radar, Sonar Navig , vol.152 , pp. 291-304
    • Pulford, G.W.1
  • 254
    • 34247103726 scopus 로고    scopus 로고
    • MPhil thesis, Signal Processing and Communications Laboratory, Department of Engineering, University of Cambridge
    • Punska O. (1999) Bayesian approaches to multi-sensor data fusion. MPhil thesis, Signal Processing and Communications Laboratory, Department of Engineering, University of Cambridge.
    • (1999) Bayesian Approaches to Multi-sensor Data Fusion
    • Punska, O.1
  • 255
    • 10644221106 scopus 로고    scopus 로고
    • Uncorrelated heteoscedastic LDA based on the weighted pairwise chernoff criterion
    • Qin A. K., Suganthan P. N., Loog M. (2005) Uncorrelated heteoscedastic LDA based on the weighted pairwise Chernoff criterion. Pattern Recognition 38: pp. 613-616.
    • (2005) Pattern Recognition , vol.38 , pp. 613-616
    • Qin, A.K.1    Suganthan, P.N.2    Loog, M.3
  • 258
    • 0003759663 scopus 로고    scopus 로고
    • Robust kalman filters for prediction, recognition and learning
    • University of Rochester, December 1996
    • Rao R. P. N. (1996) Robust Kalman filters for prediction, recognition and learning. Rechnical Report 645, Computer Science Department, University of Rochester, December 1996.
    • (1996) Rechnical Report 645, Computer Science Department
    • Rao, R.P.N.1
  • 262
    • 0026120032 scopus 로고
    • Small sample size effects in statistical pattern recognition: Recommendations for practitioners
    • Raudys S. J., Jain A. K. (1991) Small sample size effects in statistical pattern recognition: recommendations for practitioners. IEEE Transactions on Pattern Analysis and Machine Intelligence 13: pp. 252-264.
    • (1991) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.13 , pp. 252-264
    • Raudys, S.J.1    Jain, A.K.2
  • 267
    • 2642579693 scopus 로고    scopus 로고
    • An analysis of data characteristics that affect naive bayes performance
    • Thomas J. Watson Research Center, NY 10598
    • Rish I., Hellerstein J., Jayram T. S. (2001) An analysis of data characteristics that affect naive Bayes performance. IBM Technical Report RC2 1993, IBM Research division, Thomas J. Watson Research Center, NY 10598.
    • (2001) IBM Technical Report RC2 1993, IBM Research Division
    • Rish, I.1    Hellerstein, J.2    Jayram, T.S.3
  • 271
    • 0033556862 scopus 로고    scopus 로고
    • A unifying review of linear gaussian models
    • Roweis S., Ghahramani Z. (1999) A unifying review of linear Gaussian models. Neural Computation 11: pp. 305-345.
    • (1999) Neural Computation , vol.11 , pp. 305-345
    • Roweis, S.1    Ghahramani, Z.2
  • 273
    • 0035306498 scopus 로고    scopus 로고
    • Error propagation in two sensor three-dimensional position estimation
    • Sanders-Reed J. N. (2001) Error propagation in two sensor three-dimensional position estimation. Optical Engineering 40: pp. 627-636.
    • (2001) Optical Engineering , vol.40 , pp. 627-636
    • Sanders-Reed, J.N.1
  • 278
    • 28244497353 scopus 로고    scopus 로고
    • Generalized millman's formula and its application for estimation problems
    • Shin V., Lee Y., Choi T-S (2006) Generalized Millman's formula and its application for estimation problems. Signal Processing 86: pp. 257-266.
    • (2006) Signal Processing , vol.86 , pp. 257-266
    • Shin, V.1    Lee, Y.2    Choi, T.-S.3
  • 282
    • 0006822621 scopus 로고    scopus 로고
    • Dealing with duff data
    • Editors Sears M. Nedeljkovic N. E. Sibisi S. NMB Printers, Port Elizabeth, South Africa
    • Sivia D. S. (1996) Dealing with duff data. Proccedings of the Maximum Entropy Conference. (Editors) Sears M., Nedeljkovic N. E., Sibisi S. NMB Printers, Port Elizabeth, South Africa, pp. 131-137.
    • (1996) Proccedings of the Maximum Entropy Conference , pp. 131-137
    • Sivia, D.S.1
  • 285
    • 0042526388 scopus 로고    scopus 로고
    • The mutual information: Detecting and evaluating dependencies between variables
    • Steuer R., Kurths J., Daub C. O., Weise J., Selbig J. (2002) The mutual information: detecting and evaluating dependencies between variables. Bioinformatics 18 Supplement 2, pp. S231-S240.
    • (2002) Bioinformatics , vol.18 , Issue.SUPPL. 2
    • Steuer, R.1    Kurths, J.2    Daub, C.O.3    Weise, J.4    Selbig, J.5
  • 286
    • 0033189795 scopus 로고    scopus 로고
    • Robust parameter estimation in computer vision
    • Stewart C. V. (1999) Robust parameter estimation in computer vision. SIAM Review 41: pp. 513-537.
    • (1999) SIAM Review , vol.41 , pp. 513-537
    • Stewart, C.V.1
  • 287
    • 10644278783 scopus 로고    scopus 로고
    • Linear dimensionality reduction using relevance weighted LDA
    • Tang E. K., Suganthan P. N., Yao X., Qin A. K. (2005) Linear dimensionality reduction using relevance weighted LDA. Pattern Recognition 38: pp. 485-493.
    • (2005) Pattern Recognition , vol.38 , pp. 485-493
    • Tang, E.K.1    Suganthan, P.N.2    Yao, X.3    Qin, A.K.4
  • 289
    • 0037753593 scopus 로고    scopus 로고
    • PhD thesis, Delft University, The Netherlands
    • Tax D. M. J. (2001) One-class classification. PhD thesis, Delft University, The Netherlands.
    • (2001) One-class Classification
    • Tax, D.M.J.1
  • 292
    • 0030422050 scopus 로고    scopus 로고
    • A pyramid approach to sub-pixel image fusion based on mutual information
    • Lausanne, Switzerland, Sept. 16-19
    • Thevenaz P., Unser M. (1996) A pyramid approach to sub-pixel image fusion based on mutual information. Proceedings IEEE International Conference on Image Processing, Lausanne, Switzerland, Sept. 16-19, Vol. 1 pp. 265-268.
    • (1996) Proceedings IEEE International Conference on Image Processing , vol.1 , pp. 265-268
    • Thevenaz, P.1    Unser, M.2
  • 293
    • 84891972491 scopus 로고    scopus 로고
    • Classifying acute abdominal pain by assuming independence: A study using two models constructed directly from data
    • University of Stirling, Stirling, Scotland
    • Thomas C. S. (1999) Classifying acute abdominal pain by assuming independence: A study using two models constructed directly from data. Technical Report CSM-153, Department of Computing Science and Mathematics, University of Stirling, Stirling, Scotland.
    • (1999) Technical Report CSM-153, Department of Computing Science and Mathematics
    • Thomas, C.S.1
  • 294
    • 27844439280 scopus 로고    scopus 로고
    • Small sample size: A methodological problem in bayes plug-in classifier for image rcognition
    • Imperial College of Science, Technology and Medicine, London
    • Thomaz C. E., Gillies D. F. (2001) "Small sample size": A methodological problem in Bayes plug-in classifier for image rcognition. Technical Report 6/2001, Department of Computing, Imperial College of Science, Technology and Medicine, London.
    • (2001) Technical Report 6/2001, Department of Computing
    • Thomaz, C.E.1    Gillies, D.F.2
  • 298
    • 0031998630 scopus 로고    scopus 로고
    • Learning metric-topological maps for indoor mobile robot navigation
    • Thrun S. (1998) Learning metric-topological maps for indoor mobile robot navigation. Artificial Intelligence 99: pp. 21-71.
    • (1998) Artificial Intelligence , vol.99 , pp. 21-71
    • Thrun, S.1
  • 299
    • 0141904789 scopus 로고    scopus 로고
    • Learning occupancy grids with forward sensor models
    • Thrun S. (2003) Learning occupancy grids with forward sensor models. Autonomous Robots 15: pp. 111-127.
    • (2003) Autonomous Robots , vol.15 , pp. 111-127
    • Thrun, S.1
  • 302
    • 0033556788 scopus 로고    scopus 로고
    • Mixtures of probabilistic principal component analysis
    • Tipping M. E., Bishop C. M. (1999) Mixtures of probabilistic principal component analysis. Neural Computation 11 pp. 443-482.
    • (1999) Neural Computation , vol.11 , pp. 443-482
    • Tipping, M.E.1    Bishop, C.M.2
  • 303
    • 0034868092 scopus 로고    scopus 로고
    • A bayesian technique for conditioning radar precipitation estimates to rain-gauge measurements
    • Todini E. (2001) A Bayesian technique for conditioning radar precipitation estimates to rain-gauge measurements. Hydrology and Earth System Sciences 5: pp. 187-199.
    • (2001) Hydrology and Earth System Sciences , vol.5 , pp. 187-199
    • Todini, E.1
  • 304
    • 33747439549 scopus 로고    scopus 로고
    • MSc. thesis, Institut Technische Informatik, Technischen Universitat Wien
    • Trodhandl C. (2002) Architectural requirements for TP/A nodes. MSc. thesis, Institut Technische Informatik, Technischen Universitat Wien.
    • (2002) Architectural Requirements for TP/A Nodes
    • Trodhandl, C.1
  • 306
    • 0036088195 scopus 로고    scopus 로고
    • Robust combining of disparate classifiers through order statistics
    • Tumer K., Ghosh J. (2002) Robust combining of disparate classifiers through order statistics. Pattern Analysis and Applications 5 pp. 189-200.
    • (2002) Pattern Analysis and Applications , vol.5 , pp. 189-200
    • Tumer, K.1    Ghosh, J.2
  • 308
    • 0042830773 scopus 로고    scopus 로고
    • Covariance consistency methods for fault-tolerant distributed data fusion
    • Uhlmann J. K. (2003) Covariance consistency methods for fault-tolerant distributed data fusion. Information Fusion 4: pp. 201-215.
    • (2003) Information Fusion , vol.4 , pp. 201-215
    • Uhlmann, J.K.1
  • 318
    • 84892052592 scopus 로고    scopus 로고
    • Published by Les Presses de l'Ecole des Mines, Boulevard Saint Michel, Paris, France
    • Wald L. (2002) Data Fusion: Definitions and Architectures. Published by Les Presses de l'Ecole des Mines, 60 Boulevard Saint Michel, 75006 Paris, France.
    • (2002) Data Fusion: Definitions and Architectures , vol.60 , pp. 75006
    • Wald, L.1
  • 321
    • 27944482242 scopus 로고    scopus 로고
    • Principal discriminants analysis for small-sample-size problems: Application to chemical sensing
    • Vienna, Austria, Oct. 24-27
    • Wang M., Perera A., Gutierrez-Osuna R. (2004) Principal discriminants analysis for small-sample-size problems: Application to chemical sensing. Proceedings of the 3rd IEEE Conference on Sensors, Vienna, Austria, Oct. 24-27.
    • (2004) Proceedings of the 3rd IEEE Conference on Sensors
    • Wang, M.1    Perera, A.2    Gutierrez-Osuna, R.3
  • 322
  • 324
    • 0034247206 scopus 로고    scopus 로고
    • Multiboosting: A technique for combining boosting and wagging
    • Webb G. I. (2000) Multiboosting: A technique for combining boosting and wagging. Machine Learning 40: pp. 159-197.
    • (2000) Machine Learning , vol.40 , pp. 159-197
    • Webb, G.I.1
  • 325
    • 14844351034 scopus 로고    scopus 로고
    • Not so naive bayes: Aggregating one-dependence estimators
    • Webb G. I., Boughton J., Wang Z. (2005) Not so naive Bayes: Aggregating one-dependence estimators. Machine Learning 58: pp. 5-24.
    • (2005) Machine Learning , vol.58 , pp. 5-24
    • Webb, G.I.1    Boughton, J.2    Wang, Z.3
  • 326
    • 0242639620 scopus 로고    scopus 로고
    • An introduction to the kalman filter
    • Available from
    • Welch G., Bishop G. (2001) An introduction to the Kalman filter. Notes to accompany Siggraph 2001, 8. Available from http://www.cs.unc.edu/~welch.
    • (2001) Notes to Accompany Siggraph 2001 , pp. 8
    • Welch, G.1    Bishop, G.2
  • 327
  • 331
    • 0347182773 scopus 로고    scopus 로고
    • Textual and chemical information processing: Different domains but similar algorithms
    • Willett P. (2000) Textual and chemical information processing: different domains but similar algorithms. Information Research 5 No. 2.
    • (2000) Information Research , vol.5 , Issue.2
    • Willett, P.1
  • 332
    • 0037526838 scopus 로고    scopus 로고
    • Structural biology in drug metabolism and drug discovery
    • Willett P. (2003) Structural biology in drug metabolism and drug discovery. Biochemical Society Transactions 31 Part 3 pp. 603-606.
    • (2003) Biochemical Society Transactions , vol.31 , Issue.PART 3 , pp. 603-606
    • Willett, P.1
  • 335
    • 51349159085 scopus 로고    scopus 로고
    • Probability estimates for multi-class classification by pairwise coupling
    • Wu T.-F., Lin C.-J., Weng R. C. (2004) Probability estimates for multi-class classification by pairwise coupling. Journal of Machine Learning Research 5: pp. 975-1005.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 975-1005
    • Wu, T.-F.1    Lin, C.-J.2    Weng, R.C.3
  • 336
    • 0033358499 scopus 로고    scopus 로고
    • Vehicle sound signature recognition by frequency vector principal component analysis
    • Wu H., Siegel M., Khosla P. (1999) Vehicle sound signature recognition by frequency vector principal component analysis. IEEE transactions on Instrumentation and Measurement 48: pp. 1005-1009.
    • (1999) IEEE Transactions on Instrumentation and Measurement , vol.48 , pp. 1005-1009
    • Wu, H.1    Siegel, M.2    Khosla, P.3
  • 338
    • 0036609291 scopus 로고    scopus 로고
    • Multi-sensor management for information fusion: Issues and approaches
    • Xiong N., Svensson P. (2002) Multi-sensor management for information fusion: issues and approaches. Information Fusion 3: pp. 163-186.
    • (2002) Information Fusion , vol.3 , pp. 163-186
    • Xiong, N.1    Svensson, P.2
  • 339
    • 0026860706 scopus 로고
    • Several methods for combining multiple classifiers and their applications in handwritten character recognition
    • Xu L, Krzyzak A., Suen C. Y. (1992) Several methods for combining multiple classifiers and their applications in handwritten character recognition. IEEE Transactions on Systems, Man and Cybernetics 22: pp. 418-435.
    • (1992) IEEE Transactions on Systems, Man and Cybernetics , vol.22 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.Y.3
  • 340
    • 33749423470 scopus 로고    scopus 로고
    • PhD thesis, School of Computer Science and Software Engineering, Monash University, July 2003
    • Yang Y. (2003) Discretization for Naive-Bayes learning. PhD thesis, School of Computer Science and Software Engineering, Monash University, July 2003.
    • (2003) Discretization for Naive-Bayes Learning
    • Yang, Y.1
  • 341
    • 84892066674 scopus 로고    scopus 로고
    • A catalog of noninformative priors
    • Yang R., Berger J. O. (1997) A catalog of noninformative priors. Planning Inference 79: pp. 223-235. Discussion Paper 97-42, ISDS Duke University, Durham, NC, USA.
    • (1997) Planning Inference , vol.79 , pp. 223-235
    • Yang, R.1    Berger, J.O.2
  • 342
    • 7444222920 scopus 로고    scopus 로고
    • Weighted proportional k-interval discretization for naive bayes classifiers
    • Yang Y., Webb G. I. (2003) Weighted proportional k-interval discretization for naive Bayes classifiers. PAKDD 2003 pp. 501-512.
    • (2003) PAKDD 2003 , pp. 501-512
    • Yang, Y.1    Webb, G.I.2
  • 346
    • 3843136183 scopus 로고    scopus 로고
    • Sensor management and bayesian networks
    • Yilmazer N., Osadciw L. A. (2004) Sensor management and Bayesian networks. Proceedings SPIE 5434.
    • (2004) Proceedings SPIE , vol.5434
    • Yilmazer, N.1    Osadciw, L.A.2
  • 347
    • 2342594224 scopus 로고    scopus 로고
    • Reducing multiclass to binary by coupling probability estimates
    • Vancouver, British Columbia
    • Zadrozny B. (2001) Reducing multiclass to binary by coupling probability estimates. Neural Information Processing Systems Conference, Vancouver, British Columbia.
    • (2001) Neural Information Processing Systems Conference
    • Zadrozny, B.1
  • 350
    • 27344450722 scopus 로고    scopus 로고
    • Diagonal principal component analysis for face recognition
    • Zhang D., Zhou Z-H., Chen S. (2006) Diagonal principal component analysis for face recognition. Pattern Recognition 39 pp. 140-142.
    • (2006) Pattern Recognition , vol.39 , pp. 140-142
    • Zhang, D.1    Zhou, Z.-H.2    Chen, S.3
  • 353
    • 0030815476 scopus 로고    scopus 로고
    • Parameter estimation techniques: A tutorial with application to conic fitting
    • Zhang Z. (1997) Parameter estimation techniques: A tutorial with application to conic fitting. Image and Vision Computing 15: 59-76.
    • (1997) Image and Vision Computing , vol.15 , pp. 59-76
    • Zhang, Z.1
  • 354
    • 84957081220 scopus 로고    scopus 로고
    • Naive bayesian classifier committee
    • Chemnitz, Germany, April 21-23
    • Zheng Z. (1998) Naive Bayesian classifier committee. 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, pp. 196-207.
    • (1998) 10th European Conference on Machine Learning , pp. 196-207
    • Zheng, Z.1
  • 355
    • 0034301677 scopus 로고    scopus 로고
    • Lazy learning of bayesian rules
    • Zheng Z., Webb G. I. (2000) Lazy learning of Bayesian rules. Machine Learning 41: pp. 53-87.
    • (2000) Machine Learning , vol.41 , pp. 53-87
    • Zheng, Z.1    Webb, G.I.2
  • 357
    • 1842812871 scopus 로고    scopus 로고
    • An efficient algorithm to solve the small sample size problem for LDA
    • Zheng W., Zhao L., Zou C. (2004) An efficient algorithm to solve the small sample size problem for LDA. Pattern Recognition 37: pp. 1077-1079.
    • (2004) Pattern Recognition , vol.37 , pp. 1077-1079
    • Zheng, W.1    Zhao, L.2    Zou, C.3
  • 358
    • 0032382809 scopus 로고    scopus 로고
    • A primer on electrical units in the systeme international
    • Zimmerman N. M. (1998) A primer on electrical units in the Systeme International. American Journal of Physics 66: pp. 324-331.
    • (1998) American Journal of Physics , vol.66 , pp. 324-331
    • Zimmerman, N.M.1
  • 360
    • 0043237770 scopus 로고    scopus 로고
    • Image registration methods: A survey
    • Zitova B., Flusser J. (2003) Image registration methods: A survey. Image and Vision Computing 21: pp. 977-1000.
    • (2003) Image and Vision Computing , vol.21 , pp. 977-1000
    • Zitova, B.1    Flusser, J.2


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