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Volumn 39, Issue 1, 2014, Pages 52-64

A framework for selection and fusion of pattern classifiers in multimedia recognition

Author keywords

Diversity measures; Ensemble of classifiers; Meta learning

Indexed keywords

CLASSIFICATION RESULTS; CURSE OF DIMENSIONALITY; DIVERSITY MEASURE; ENSEMBLE OF CLASSIFIERS; META-LEARNING APPROACH; METALEARNING; REDUCED TRAINING SETS; VISUAL CLASSIFICATION;

EID: 84893743223     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2013.07.014     Document Type: Article
Times cited : (42)

References (71)
  • 5
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Mach. Learn. 24 2 1996 123 140 (Pubitemid 126724382)
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 6
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • L. Breiman Random forests Mach. Learn. 45 1 2001 5 32 (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 7
    • 0001057572 scopus 로고
    • Coefficient kappa: Some uses, misuses, and alternatives
    • Brennan, R.L., Prediger, D.J. 1981. Coefficient kappa: some uses, misuses, and alternatives. Educ. Psychol. Meas. 41 (3), 687-699.
    • (1981) Educ. Psychol. Meas. , vol.41 , Issue.3 , pp. 687-699
    • Brennan, R.L.1    Prediger, D.J.2
  • 8
    • 84893777879 scopus 로고    scopus 로고
    • Brooks, D. 2013. The philosophy of data. In: The New York Times, A23, February, 5th.
    • Brooks, D. 2013. The philosophy of data. In: The New York Times, A23, February, 5th.
  • 9
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • C.-C. Chang, and C.-J. Lin LIBSVM: a library for support vector machines ACM Trans. Intell. Syst. Technol. 2 3 2011 27:1 27:27
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2 , Issue.3 , pp. 271-2727
    • Chang, C.-C.1    Lin, C.-J.2
  • 11
    • 78149302207 scopus 로고    scopus 로고
    • What does classifying more than 10,000 image categories tell us
    • Springer-Verlag Berlin, Heidelberg 71-84
    • J. Deng, A.C. Berg, K. Li, and L. Fei-Fei What does classifying more than 10,000 image categories tell us European Conf. on Computer Vision Springer-Verlag 2010 Berlin, Heidelberg 71-84
    • (2010) European Conf. on Computer Vision
    • Deng, J.1    Berg, A.C.2    Li, K.3    Fei-Fei, L.4
  • 14
    • 84893716212 scopus 로고    scopus 로고
    • Interactive multiscale classification of high-resolution remote sensing images, selected topics in applied earth observations and remote sensing
    • J.A. dos Santos, P.-H. Gosselin, S. Philipp-Foliguet, R. da S. Torres, and A.X. Falcão Interactive multiscale classification of high-resolution remote sensing images, selected topics in applied earth observations and remote sensing IEEE J. PP 99 2013 1 15
    • (2013) IEEE J. PP , Issue.99 , pp. 1-15
    • Dos Santos, J.A.1    Gosselin, P.-H.2    Philipp-Foliguet, S.3    Torres, R.D.S.4    Falcão, A.X.5
  • 16
    • 12144288329 scopus 로고    scopus 로고
    • Is combining classifiers with stacking better than selecting the best one
    • S. Džeroski, and B. Ženko Is combining classifiers with stacking better than selecting the best one Mach. Learn. 54 3 2004 255 273
    • (2004) Mach. Learn. , vol.54 , Issue.3 , pp. 255-273
    • Džeroski, S.1    Ženko, B.2
  • 20
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • Fei-fei, L., Fergus, R., Perona, P. 2004. Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. In: IEEE Int. Conf. on Computer Vision and Pattern Recognition Workshop, 178.
    • (2004) IEEE Int. Conf. on Computer Vision and Pattern Recognition Workshop , pp. 178
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 24
    • 85067032737 scopus 로고    scopus 로고
    • On feature combination for multiclass object classification
    • Gehler, P., Nowozin, S. 2009. On feature combination for multiclass object classification. In: Intl. Conf. on Computer Vision, pp. 221 -228.
    • (2009) Intl. Conf. on Computer Vision , pp. 221-228
    • Gehler, P.1    Nowozin, S.2
  • 26
    • 0000856338 scopus 로고
    • The Meta-Pi network: Building distributed knowledge representations for robust multisource pattern recognition
    • I. Hampshire, J.B., and A. Waibel The Meta-Pi network: building distributed knowledge representations for robust multisource pattern recognition IEEE Trans. Pattern Anal. Mach. Intell. 14 7 1992 751 769
    • (1992) IEEE Trans. Pattern Anal. Mach. Intell. , vol.14 , Issue.7 , pp. 751-769
    • Hampshire, I.B.J.1    Waibel, A.2
  • 29
    • 34848849013 scopus 로고    scopus 로고
    • Fingerprint classification using one-vs-all support vector machines dynamically ordered with nai{dotless}ve Bayes classifiers
    • DOI 10.1016/j.patcog.2007.07.004, PII S0031320307003299
    • J.-H. Hong, J.-K. Min, U.-K. Cho, and S.-B. Cho Fingerprint classification using one-vs-all support vector machines dynamically ordered with naive Bayes classifiers Pattern Recogn. 41 2 2008 662 671 (Pubitemid 47503256)
    • (2008) Pattern Recognition , vol.41 , Issue.2 , pp. 662-671
    • Hong, J.-H.1    Min, J.-K.2    Cho, U.-K.3    Cho, S.-B.4
  • 31
    • 40649109152 scopus 로고    scopus 로고
    • An orientation independent texture descriptor for image retrieval
    • Huang, C., Liu, Q. 2007. An orientation independent texture descriptor for image retrieval. In: Int. Conf. on Computational Science, pp. 772-776.
    • (2007) Int. Conf. on Computational Science , pp. 772-776
    • Huang, C.1    Liu, Q.2
  • 34
    • 0002282074 scopus 로고
    • A new measure of rank correlation
    • M.G. Kendall A new measure of rank correlation Biometrika 30 1/2 1938 81 93
    • (1938) Biometrika , vol.30 , Issue.12 , pp. 81-93
    • Kendall, M.G.1
  • 36
    • 80053242789 scopus 로고    scopus 로고
    • Cell image classification based on ensemble features and random forest
    • B. Ko, J. Gim, and J. Nam Cell image classification based on ensemble features and random forest Electron. Lett. 47 11 2011 638 639
    • (2011) Electron. Lett. , vol.47 , Issue.11 , pp. 638-639
    • Ko, B.1    Gim, J.2    Nam, J.3
  • 37
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • Kuncheva, L.I., Whitaker, C.J. 2003. Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Mach. Learn. 51 (2), 181-207.
    • (2003) Mach. Learn. , vol.51 , Issue.2 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 39
    • 0028589729 scopus 로고
    • Tau coefficients for accuracy assessment of classification of remote sensing data
    • Ma Z., Redmond, R., 1995. Tau coefficients for accuracy assessment of classification of remote sensing data. Photogram. Eng. Remote Sens. 61 (4), 439-453.
    • (1995) Photogram. Eng. Remote Sens. , vol.61 , Issue.4 , pp. 439-453
    • Ma, Z.1    Redmond, R.2
  • 40
    • 0038670223 scopus 로고    scopus 로고
    • Image retrieval based on shape similarity by edge orientation autocorrelogram
    • DOI 10.1016/S0031-3203(03)00010-4
    • F. Mahmoudi, J. Shanbehzadeh, A. Eftekhari-Moghadam, and H. Soltanian-Zadeh Image retrieval based on shape similarity by edge orientation autocorrelogram Pattern Recogn. 36 8 2003 1725 1736 (Pubitemid 36557870)
    • (2003) Pattern Recognition , vol.36 , Issue.8 , pp. 1725-1736
    • Mahmoudi, F.1    Shanbehzadeh, J.2    Eftekhari-Moghadam, A.-M.3    Soltanian-Zadeh, H.4
  • 43
    • 34548629412 scopus 로고    scopus 로고
    • Information fusion for wireless sensor networks: Methods, models, and classifications
    • Nakamura, E.F., Loureiro, A.A.F., Frery, A.C. 2007. Information fusion for wireless sensor networks: Methods, models, and classifications, ACM Comput. Surv. 39 (3).
    • (2007) ACM Comput Surv. , vol.39 , Issue.3
    • Nakamura, E.F.1    Loureiro, A.A.F.2    Frery, A.C.3
  • 44
    • 35348915328 scopus 로고    scopus 로고
    • Classifier ensembles: Select real-world applications
    • DOI 10.1016/j.inffus.2007.07.002, PII S1566253507000620, Applications of Ensemble Methods
    • N.C. Oza, and K. Tumer Classifier ensembles: select real-world applications Inf. Fusion 9 1 2008 4 20 (Pubitemid 47589064)
    • (2008) Information Fusion , vol.9 , Issue.1 , pp. 4-20
    • Oza, N.C.1    Tumer, K.2
  • 45
    • 1242263799 scopus 로고    scopus 로고
    • New results on error correcting output codes of kernel machines
    • A. Passerini, M. Pontil, and P. Frasconi New results on error correcting output codes of kernel machines IEEE Trans. Neural Networks 15 1 2004 45 54
    • (2004) IEEE Trans. Neural Networks , vol.15 , Issue.1 , pp. 45-54
    • Passerini, A.1    Pontil, M.2    Frasconi, P.3
  • 46
    • 0030383588 scopus 로고    scopus 로고
    • Comparing images using color coherence vectors
    • Pass, G., Zabih, R., Miller, J. 1996. Comparing images using color coherence vectors. In: ACM Multimedia, pp. 65-73.
    • (1996) ACM Multimedia , pp. 65-73
    • Pass, G.1    Zabih, R.2    Miller, J.3
  • 49
    • 83455245296 scopus 로고    scopus 로고
    • Comparative study of global color and texture descriptors for web image retrieval
    • O.A.B. Penatti, E. Valle, and R. da S. Torres Comparative study of global color and texture descriptors for web image retrieval J. Visual Commun. Image Represent. 23 2 2012 359 380
    • (2012) J. Visual Commun. Image Represent. , vol.23 , Issue.2 , pp. 359-380
    • Penatti, O.A.B.1    Valle, E.2    Torres, R.D.S.3
  • 51
    • 82655173768 scopus 로고    scopus 로고
    • A novel algorithm for feature selection using Harmony search and its application for non-technical losses detection
    • C.C.O. Ramos, A.N. Souza, G. Chiachia, A.X. Falcão, and J.P. Papa A novel algorithm for feature selection using Harmony search and its application for non-technical losses detection Comput. Electric. Eng. 37 6 2011 886 894
    • (2011) Comput. Electric. Eng. , vol.37 , Issue.6 , pp. 886-894
    • Ramos, C.C.O.1    Souza, A.N.2    Chiachia, G.3    Falcão, A.X.4    Papa, J.P.5
  • 54
    • 75149176174 scopus 로고    scopus 로고
    • Ensemble-based classifiers
    • L. Rokach Ensemble-based classifiers J. Artif. Intell. Rev. 33 1-2 2010 1 39
    • (2010) J. Artif. Intell. Rev. , vol.33 , Issue.12 , pp. 1-39
    • Rokach, L.1
  • 57
    • 77954672890 scopus 로고    scopus 로고
    • Fast and scalable local kernel machines
    • N. Segata, and E. Blanzieri Fast and scalable local kernel machines J. Mach. Learn. Res. 99 2010 1883 1926
    • (2010) J. Mach. Learn. Res. , vol.99 , pp. 1883-1926
    • Segata, N.1    Blanzieri, E.2
  • 58
    • 33645760206 scopus 로고    scopus 로고
    • An investigation into how AdaBoost affects classifier diversity
    • Shipp, C.A., Kuncheva, L.I. 2009. An investigation into how AdaBoost affects classifier diversity, IPMU, pp. 203-208 .
    • (2009) IPMU , pp. 203-208
    • Shipp, C.A.1    Kuncheva, L.I.2
  • 62
    • 84884553022 scopus 로고    scopus 로고
    • Automatic segmentation and classification of human intestinal parasites from microscopy images
    • C.T.N. Suzuki, J.F. Gomes, A.X. Falcão, J.P. Papa, and S.H. Shimizu Automatic segmentation and classification of human intestinal parasites from microscopy images IEEE Trans. Biomed. Eng. 60 3 2012 803 812
    • (2012) IEEE Trans. Biomed. Eng. , vol.60 , Issue.3 , pp. 803-812
    • Suzuki, C.T.N.1    Gomes, J.F.2    Falcão, A.X.3    Papa, J.P.4    Shimizu, S.H.5
  • 64
    • 0034272623 scopus 로고    scopus 로고
    • Texture recognition and image retrieval using gradient indexing
    • B. Tao, and B. Dickinson Texture recognition and image retrieval using gradient indexing J. Visual Commun. Image Represent. 11 3 2000 327 342
    • (2000) J. Visual Commun. Image Represent. , vol.11 , Issue.3 , pp. 327-342
    • Tao, B.1    Dickinson, B.2
  • 68
    • 0036487234 scopus 로고    scopus 로고
    • Innovations in fingerprint capture devices
    • DOI 10.1016/S0031-3203(02)00036-5, PII S0031320302000365
    • X. Xia, and L.O. Gorman Innovations in fingerprint capture devices Pattern Recogn. 36 2 2003 361 369 (Pubitemid 35212833)
    • (2002) Pattern Recognition , vol.36 , Issue.2 , pp. 361-369
    • Xia, X.1    O'Gorman, L.2
  • 70
    • 62549121667 scopus 로고    scopus 로고
    • Wavelet-based feature extraction for fingerprint image retrieval
    • J. Zegarra, N. Leite, and R. da S. Torres Wavelet-based feature extraction for fingerprint image retrieval J. Comput. Appl. Math. 227 2 2008 294 307
    • (2008) J. Comput. Appl. Math. , vol.227 , Issue.2 , pp. 294-307
    • Zegarra, J.1    Leite, N.2    Torres, R.D.S.3
  • 71
    • 66049089993 scopus 로고    scopus 로고
    • Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: A comparison study
    • W. Zhou, G. Huang, A. Troy, and M.L. Cadenasso Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: a comparison study Remote Sens. Environ. 113 2009 1769 1777
    • (2009) Remote Sens. Environ. , vol.113 , pp. 1769-1777
    • Zhou, W.1    Huang, G.2    Troy, A.3    Cadenasso, M.L.4


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