메뉴 건너뛰기




Volumn 24, Issue 3, 2010, Pages 337-358

Feature selection and extraction using an unsupervised biologically- suggested approximation to gebelein's maximal correlation

Author keywords

eigen faces; face recognition; Kernel canonical correlation analysis; mutual information; principal component analysis; SINBAD; Statistical dependence; support vector machine

Indexed keywords

CEREBRAL CORTEX; CRITICAL STEPS; DEPENDENCY RELATION; EXPLICIT FORMULA; EXTRACTION METHOD; FEATURE SELECTION; KERNEL CANONICAL CORRELATION ANALYSIS; MAXIMAL CORRELATION; MUTUAL INFORMATIONS; PATTERN RECOGNITION TECHNIQUES; REAL DATA SETS; SINBAD; STATISTICAL DEPENDENCE;

EID: 77954208132     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001410008007     Document Type: Article
Times cited : (11)

References (58)
  • 3
    • 0011812771 scopus 로고    scopus 로고
    • Kernel independent component analysis
    • F. Bach and M. I. Jordan, Kernel independent component analysis, J. Mach. Learn. Res. 3 (2002) 1-48.
    • (2002) J. Mach. Learn. Res. , vol.3 , pp. 1-48
    • Bach, F.1    Jordan, M.I.2
  • 4
    • 77954207935 scopus 로고    scopus 로고
    • Super-resolution: Reconstruction or recognition? IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing
    • Baltimore, Maryland
    • S. Baker and T. Kanade, Super-resolution: Reconstruction or recognition? IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, IEEE (Baltimore, Maryland, 2001).
    • (2001) IEEE
    • Baker, S.1    Kanade, T.2
  • 5
    • 0033556920 scopus 로고    scopus 로고
    • Implicit learning in 3D object recognition: The importance of temporal context
    • S. Becker, Implicit learning in 3D object recognition: The importance of temporal context, Neural Comput. 11 (1999) 347-374.
    • (1999) Neural Comput. , vol.11 , pp. 347-374
    • Becker, S.1
  • 7
    • 85153927006 scopus 로고
    • JPMAX: Learning to recognize moving objects as a model-̄tting problem
    • Morgan Kaufmann Publishers, San Mateo, CA
    • S. Becker, JPMAX: Learning to recognize moving objects as a model-̄tting problem, Advances in Neural Information Processing Systems, Vol.7 (Morgan Kaufmann Publishers, San Mateo, CA, 1995), pp. 933-940.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 933-940
    • Becker, S.1
  • 8
    • 0026586030 scopus 로고
    • A self-organizing neural network that discovers surfaces in random-dot stereograms
    • S. Becker and G. E. Hinton, A self-organizing neural network that discovers surfaces in random-dot stereograms, Nature 355 (1992) 161-163.
    • (1992) Nature , vol.355 , pp. 161-163
    • Becker, S.1    Hinton, G.E.2
  • 9
    • 0001111429 scopus 로고
    • Mutual information and maximal correlation as measures of dependence
    • C. B. Bell, Mutual information and maximal correlation as measures of dependence, Ann. Math. Stat. 33 (1962) 587-595.
    • (1962) Ann. Math. Stat. , vol.33 , pp. 587-595
    • Bell, C.B.1
  • 10
    • 84950771789 scopus 로고
    • Estimating optimal transformations for multiple regression and correlation
    • L. Breiman and J. H. Friedman, Estimating optimal transformations for multiple regression and correlation, J. Amer. Stat. Assoc. 80 (1985) 580-598.
    • (1985) J. Amer. Stat. Assoc. , vol.80 , pp. 580-598
    • Breiman, L.1    Friedman, J.H.2
  • 11
    • 17544373639 scopus 로고    scopus 로고
    • On the maximum correlation coe±cient
    • W. Bryc, A. Dembo and A. Kagan, On the maximum correlation coe±cient, Th. Probab. Appl. 49 (2005) 132-138.
    • (2005) Th. Probab. Appl. , vol.49 , pp. 132-138
    • Bryc, W.1    Dembo, A.2    Kagan, A.3
  • 12
    • 24644436425 scopus 로고    scopus 로고
    • Learning a similarity metric discriminatively, with application to face verīcation
    • S. Chopra, R. Hadsell and Y. LeCun, Learning a similarity metric discriminatively, with application to face verīcation, Proc. CVPR 1 (2005) 539-546.
    • (2005) Proc. CVPR 1 , pp. 539-546
    • Chopra, S.1    Hadsell, R.2    Lecun, Y.3
  • 13
    • 27744440784 scopus 로고    scopus 로고
    • Bayesian bin distribution inference and mutual information
    • D. Endres and P. Foldiak, Bayesian bin distribution inference and mutual information, IEEE Trans. Inform. Th. 51 (2005) 3766-3779.
    • (2005) IEEE Trans. Inform. Th. , vol.51 , pp. 3766-3779
    • Endres, D.1    Foldiak, P.2
  • 14
    • 2942528778 scopus 로고    scopus 로고
    • SINBAD: A neocortical mechanism for discovering environmental variables and regularities hidden in sensory input
    • O. V. Favorov and D. Ryder, SINBAD: A neocortical mechanism for discovering environmental variables and regularities hidden in sensory input, Biol. Cybern. 90 (2004) 191-202.
    • (2004) Biol. Cybern. , vol.90 , pp. 191-202
    • Favorov, O.V.1    Ryder, D.2
  • 18
    • 84974003191 scopus 로고
    • Das statistische problem der correlation also variations und eigenwert problem Zeitschrift fur Ange
    • H. Gebelein, Das statistische problem der correlation also variations und eigenwert problem, Zeitschrift fur Ange. Mathematik und Mechanik 21 (1941) 364-379.
    • (1941) Mathematik und Mechanik , vol.21 , pp. 364-379
    • Gebelein, H.1
  • 21
    • 0031333560 scopus 로고    scopus 로고
    • A supervised machine learning algorithm for arrhythmia analysis
    • Lund, Sweden
    • H. A. Guvenir, B. Acar, G. Demiroz and A. Cekin, A supervised machine learning algorithm for arrhythmia analysis, Proc. Comput. Cardiol. Conf. 24 (Lund, Sweden), 1997, pp. 433-436.
    • (1997) Proc. Comput. Cardiol. Conf. , vol.24 , pp. 433-436
    • Guvenir, H.A.1    Acar, B.2    Demiroz, G.3    Cekin, A.4
  • 22
    • 10044285992 scopus 로고    scopus 로고
    • Canonical correlation analysis: An overview with application to learning methods
    • D. Hardoon, S. Szedmak and J. Shawe-Taylor, Canonical correlation analysis: An overview with application to learning methods, Neural Comput. 16 (2004) 2639-2664.
    • (2004) Neural Comput. , vol.16 , pp. 2639-2664
    • Hardoon, D.1    Szedmak, S.2    Shawe-Taylor, J.3
  • 23
    • 84898942883 scopus 로고    scopus 로고
    • Classīcation by pairwise coupling
    • MIT Press, Cambridge, MA
    • T. Hastie and R. Tibshirani, Classīcation by pairwise coupling, Neural Information Processing Systems, Vol.10 (MIT Press, Cambridge, MA, 1997), pp. 507-513.
    • (1997) Neural Information Processing Systems , vol.10 , pp. 507-513
    • Hastie, T.1    Tibshirani, R.2
  • 26
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • H. Hotelling, Relations between two sets of variates, Biometrika 28 (1936) 312-377.
    • (1936) Biometrika , vol.28 , pp. 312-377
    • Hotelling, H.1
  • 27
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines IEEE Trans
    • C. W. Hsu and C. J. Lin, A comparison of methods for multi-class support vector machines, IEEE Trans. Neural Networks 13 (2002) 415-425.
    • (2002) Neural Networks , vol.13 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 28
    • 33846563409 scopus 로고    scopus 로고
    • Why most published research ̄ndings are false?
    • J. P. A. Ioannidis, Why most published research ̄ndings are false? PLoS Med 2 (2005) e124.
    • (2005) PLoS Med , vol.2 E124
    • Ioannidis, J.P.A.1
  • 31
    • 0001917668 scopus 로고    scopus 로고
    • Learning with two sites of synaptic integration Network: Comput
    • K. P. Kording and P. Konig, Learning with two sites of synaptic integration, Network: Comput. Neural Syst. 11 (2000) 25-39.
    • (2000) Neural Syst. , vol.11 , pp. 25-39
    • Kording, K.P.1    Konig, P.2
  • 32
    • 84876748477 scopus 로고    scopus 로고
    • A generalization of Shannon's mutual information for improved feature selection in databases involving possibly rare but well-predictable classes
    • Orlando, FL
    • O. Kursun, A generalization of Shannon's mutual information for improved feature selection in databases involving possibly rare but well-predictable classes, Proc. Int. Conf. Artīcial Intelligence and Pattern Recognition (Orlando, FL, 2008).
    • (2008) Proc. Int. Conf. Artīcial Intelligence and Pattern Recognition
    • Kursun, O.1
  • 33
    • 4344705639 scopus 로고    scopus 로고
    • SINBAD automation of scientīc discovery: From factor analysis to theory synthesis
    • O. Kursun and O. Favorov, SINBAD automation of scientīc discovery: From factor analysis to theory synthesis, Natural Computing 3(2) (2004) 207-233.
    • (2004) Natural Computing , vol.3 , Issue.2 , pp. 207-233
    • Kursun, O.1    Favorov, O.2
  • 35
    • 84948735385 scopus 로고    scopus 로고
    • Single-frame super-resolution by a cortex based mechanism using high level visual features in natural images
    • O. Kursun and O. Favorov, Single-frame super-resolution by a cortex based mechanism using high level visual features in natural images, Proc. Sixth IEEE Workshop on Applications of Computer Vision (2002), pp. 112-117.
    • (2002) Proc. Sixth IEEE Workshop on Applications of Computer Vision , pp. 112-117
    • Kursun, O.1    Favorov, O.2
  • 36
    • 35948966389 scopus 로고    scopus 로고
    • Feature extraction based on direct calculation of mutual information
    • N. Kwak, Feature extraction based on direct calculation of mutual information, Int. J. Patt. Recogn. Artif. Intell. 21 (2007) 1213-1231.
    • (2007) Int. J. Patt. Recogn. Artif. Intell. , vol.21 , pp. 1213-1231
    • Kwak, N.1
  • 37
    • 0036933407 scopus 로고    scopus 로고
    • Input feature selection by mutual information based on Parzen window
    • N. Kwak and C. H. Choi, Input feature selection by mutual information based on Parzen window, IEEE Trans. Patt. Anal. Mach. Intell. 24 (2002) 1667-1671.
    • (2002) IEEE Trans. Patt. Anal. Mach. Intell. , vol.24 , pp. 1667-1671
    • Kwak, N.1    Choi, C.H.2
  • 39
    • 0036046791 scopus 로고    scopus 로고
    • Categorical perception of race
    • D. T. Levin and B. L. Angelone, Categorical perception of race, Perception 31 (2001) 567-578.
    • (2001) Perception , vol.31 , pp. 567-578
    • Levin, D.T.1    Angelone, B.L.2
  • 41
    • 0035860537 scopus 로고    scopus 로고
    • Machine learning for science: State of the art and future prospects
    • E. Mjolsness and D. DeCoste, Machine learning for science: State of the art and future prospects, Science 293 (2001) 2051-2055.
    • (2001) Science , vol.293 , pp. 2051-2055
    • Mjolsness, E.1    Decoste, D.2
  • 42
    • 8644248999 scopus 로고    scopus 로고
    • Adaptive feature spaces for land cover classīcation with limited ground truth data
    • Special Issue on Fusion of Multiple Classīers, eds. J. Kittler and F. Roli
    • J. T. Morgan, J. Ham, M. M. Crawford, A. Henneguelle and J. Ghosh, Adaptive feature spaces for land cover classīcation with limited ground truth data, Int. J. Patt. Recogn. Artif. Intell., Special Issue on Fusion of Multiple Classīers, eds. J. Kittler and F. Roli, 18 (2004) 777-799.
    • (2004) Int. J. Patt. Recogn. Artif. Intell. , vol.18 , pp. 777-799
    • Morgan, J.T.1    Ham, J.2    Crawford, M.M.3    Henneguelle, A.4    Ghosh, J.5
  • 43
    • 4444306019 scopus 로고    scopus 로고
    • On Gebelein's correlation coe±cient
    • S. Y. Novak, On Gebelein's correlation coe±cient, Stat. Probab. Lett. 69 (2004) 299-303.
    • (2004) Stat. Probab. Lett. , vol.69 , pp. 299-303
    • Novak, S.Y.1
  • 45
    • 0000814289 scopus 로고
    • The discovery of structure by multi-stream networks of local processors with contextual guidance Network: Comput
    • W. A. Phillips, J. Kay and D. Smyth, The discovery of structure by multi-stream networks of local processors with contextual guidance, Network: Comput. Neural Syst. 6 (1995) 225-246.
    • (1995) Neural Syst. , vol.6 , pp. 225-246
    • Phillips, W.A.1    Kay, J.2    Smyth, D.3
  • 47
    • 0005472817 scopus 로고
    • On measures of dependence, Acta Mathematica Academiae Scieniarum
    • A. Renyi, On measures of dependence, Acta Mathematica Academiae Scieniarum Hungaricae 10 (1959) 441-451.
    • (1959) Hungaricae , vol.10 , pp. 441-451
    • Renyi, A.1
  • 49
    • 1942506660 scopus 로고    scopus 로고
    • SINBAD neurosemantics: A theory of mental representation
    • D. Ryder, SINBAD neurosemantics: A theory of mental representation, Mind & Language 19 (2004) 211-240.
    • (2004) Mind & Language , vol.19 , pp. 211-240
    • Ryder, D.1
  • 50
    • 0035184087 scopus 로고    scopus 로고
    • The new associationism: A neural explanation for the predictive powers of cerebral cortex
    • D. Ryder and O. V. Favorov, The new associationism: A neural explanation for the predictive powers of cerebral cortex, Brain and Mind 2 (2001) 161-194.
    • (2001) Brain and Mind , vol.2 , pp. 161-194
    • Ryder, D.1    Favorov, O.V.2
  • 52
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Scholkopf, A. Smola and K. Muller, Nonlinear component analysis as a kernel eigenvalue problem, Neural Comput. 10 (1998) 1299-1319.
    • (1998) Neural Comput. , vol.10 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.3
  • 53
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • 623-656
    • C. E. Shannon, A mathematical theory of communication, Bell Syst. Tech. J. 27 (1948) 379-423, 623-656.
    • (1948) Bell Syst. Tech. J. , vol.27 , pp. 379-423
    • Shannon, C.E.1
  • 55
    • 0030265917 scopus 로고    scopus 로고
    • Learning perceptually salient visual parameters using spatiotemporal smoothness constraints
    • J. Stone, Learning perceptually salient visual parameters using spatiotemporal smoothness constraints, Neural Comput. 8 (1996) 1463-1492.
    • (1996) Neural Comput. , vol.8 , pp. 1463-1492
    • Stone, J.1
  • 58
    • 0347579314 scopus 로고    scopus 로고
    • A perceptual encoding advantage for own-versus other-race faces
    • P. M. Walker and J. W. Tanaka, A perceptual encoding advantage for own-versus other-race faces, Perception 32 (2003) 1117-1125.
    • (2003) Perception , vol.32 , pp. 1117-1125
    • Walker, P.M.1    Tanaka, J.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.