메뉴 건너뛰기




Volumn 22, Issue 6, 2011, Pages 845-857

Discriminant independent component analysis

Author keywords

Discriminant independent component analysis; feature extraction; Fishers's linear discriminant; negentropy

Indexed keywords

CLASSIFICATION PERFORMANCE; DISCRIMINANT INDEPENDENT COMPONENT ANALYSIS; DISCRIMINANT MODELS; FEATURE EXTRACTION TECHNIQUES; FISHER LINEAR DISCRIMINANTS; FISHERS'S LINEAR DISCRIMINANT; INFORMATION THEORETIC LEARNING; LATENT VARIABLE; LINEAR DISCRIMINANT ANALYSIS; LINEAR MODEL; LINEAR SUMMATION; MINIMAL REDUNDANCY; MULTIVARIATE DATA; NEGENTROPY; NEGENTROPY MAXIMIZATION; OPTIMIZATION PROBLEMS; REDUCED DATA; SEMI-SUPERVISED; SINGLE STAGE;

EID: 79958003251     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2122266     Document Type: Review
Times cited : (30)

References (49)
  • 5
    • 0026065565 scopus 로고
    • Eigenfaces for recognition
    • M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cognit. Neurosci., vol. 3. no. 1, pp. 71-86, 1991.
    • (1991) J. Cognit. Neurosci. , vol.3 , Issue.1 , pp. 71-86
    • Turk, M.1    Pentland, A.2
  • 6
    • 0025236073 scopus 로고
    • Application of the Karhunen-Loeve procedure for the characterization of human faces
    • DOI 10.1109/34.41390
    • M. Kirby and L. Sirovich, "Application of the Karhunen-Loève procedure for the characterization of human faces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, no. 1, pp. 103-108, Jan. 1990. (Pubitemid 20653605)
    • (1990) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.12 , Issue.1 , pp. 103-108
    • Kirby, M.1    Sirovich, L.2
  • 8
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • Nov.
    • A. J. Bell and T. J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Comput., vol. 7, no. 6, pp. 1129-1159, Nov. 1995.
    • (1995) Neural Comput. , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 10
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • Apr.
    • P. Comon, "Independent component analysis, a new concept?" Signal Process., vol. 36, no. 3, pp. 287-314, Apr. 1994.
    • (1994) Signal Process. , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 12
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • PII S000437029700043X
    • R. Kohavi and G. H. John, "Wrappers for feature subset selection," Artif. Intell., vol. 97, nos. 1-2, pp. 273-324, Dec. 1997. (Pubitemid 127401107)
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 13
    • 0036856989 scopus 로고    scopus 로고
    • Face recognition by independent component analysis
    • DOI 10.1109/TNN.2002.804287
    • M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, "Face recognition by independent component analysis," IEEE Trans. Neural Netw., vol. 13, no. 6, pp. 1450-1464, Nov. 2002. (Pubitemid 35428531)
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.6 , pp. 1450-1464
    • Bartlett, M.S.1    Movellan, J.R.2    Sejnowski, T.J.3
  • 14
    • 0028468293 scopus 로고
    • Using mutual information for selecting features in supervised neural net learning
    • Jul.
    • R. Battiti, "Using mutual information for selecting features in supervised neural net learning," IEEE Trans. Neural Netw., vol. 5, no. 4, pp. 537-550, Jul. 1994.
    • (1994) IEEE Trans. Neural Netw. , vol.5 , Issue.4 , pp. 537-550
    • Battiti, R.1
  • 15
    • 0036933407 scopus 로고    scopus 로고
    • Input feature selection by mutual information based on Parzen window
    • Dec.
    • N. Kwak and C.-H. Choi, "Input feature selection by mutual information based on Parzen window," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 12, pp. 1667-1671, Dec. 2002.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , Issue.12 , pp. 1667-1671
    • Kwak, N.1    Choi, C.-H.2
  • 16
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy
    • DOI 10.1109/TPAMI.2005.159
    • H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 8, pp. 1226-1238, Aug. 2005. (Pubitemid 41245053)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 17
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • Oct.
    • L. Yu and H. Liu, "Efficient feature selection via analysis of relevance and redundancy," J. Mach. Learn. Res., vol. 5, pp. 1205-1224, Oct. 2004.
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 1205-1224
    • Yu, L.1    Liu, H.2
  • 18
    • 33747865502 scopus 로고    scopus 로고
    • Independent component analysis-based penalized discriminant method for tumor classification using gene expression data
    • DOI 10.1093/bioinformatics/btl190
    • D.-S. Huang and C.-H. Zheng, "Independent component analysis-based penalized discriminant method for tumor classification using gene expression data," Bioinformatics, vol. 22, no. 15, pp. 1855-1862, May 2006. (Pubitemid 44283030)
    • (2006) Bioinformatics , vol.22 , Issue.15 , pp. 1855-1862
    • Huang, D.-S.1    Zheng, C.-H.2
  • 19
    • 70349128562 scopus 로고    scopus 로고
    • Hybrid feature selection: Combining fisher criterion and mutual information for efficient feature selection
    • C. S. Dhir and S. Y. Lee, "Hybrid feature selection: Combining fisher criterion and mutual information for efficient feature selection," in Proc. Adv. Neural Inf. Process., vol. 5506. 2009, pp. 613-620.
    • (2009) Proc. Adv. Neural Inf. Process. , vol.5506 , pp. 613-620
    • Dhir, C.S.1    Lee, S.Y.2
  • 23
    • 84945116550 scopus 로고
    • Sliced inverse regression for dimension reduction
    • Jun.
    • K.-C. Li, "Sliced inverse regression for dimension reduction," J. Amer. Stat. Assoc., vol. 86, no. 414, pp. 316-327, Jun. 1991.
    • (1991) J. Amer. Stat. Assoc. , vol.86 , Issue.414 , pp. 316-327
    • Li, K.-C.1
  • 24
    • 10044285992 scopus 로고    scopus 로고
    • Canonical correlation analysis: An overview with application to learning methods
    • DOI 10.1162/0899766042321814
    • D. R. Hardoon, S. Szedmak, and J. R. Shawe-Taylor, "Canonical correlation analysis: An overview with application to learning methods," Neural Comput., vol. 16, no. 12, pp. 2639-2664, Dec. 2004. (Pubitemid 39604012)
    • (2004) Neural Computation , vol.16 , Issue.12 , pp. 2639-2664
    • Hardoon, D.R.1    Szedmak, S.2    Shawe-Taylor, J.3
  • 27
    • 33750704078 scopus 로고    scopus 로고
    • Discriminant independent component analysis as a subspace representation
    • F. Long, J. He, X. Ye, Z. Zhuang, and B. Li, "Discriminant independent component analysis as a subspace representation," J. Electron. (China), vol. 23, no. 1, pp. 103-106, 2006.
    • (2006) J. Electron. (China) , vol.23 , Issue.1 , pp. 103-106
    • Long, F.1    He, J.2    Ye, X.3    Zhuang, Z.4    Li, B.5
  • 28
    • 0003981318 scopus 로고
    • Amsterdam The Netherlands: North Holland
    • A. Renyi, Probability Theory. Amsterdam, The Netherlands: North Holland, 1970.
    • (1970) Probability Theory
    • Renyi, A.1
  • 29
    • 1942450610 scopus 로고    scopus 로고
    • Feature extraction by non parametric mutual information maximization
    • Mar.
    • K. Torkkola, "Feature extraction by non parametric mutual information maximization," J. Mach. Learn. Res., vol. 3, pp. 1415-1438, Mar. 2003.
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1415-1438
    • Torkkola, K.1
  • 32
    • 34548656483 scopus 로고    scopus 로고
    • Maximization of mutual information for supervised linear feature extraction
    • DOI 10.1109/TNN.2007.891630
    • J. M. Leiva-Murillo and A. Artes-Rodriguez, "Maximization of mutual information for supervised linear feature extraction," IEEE Trans. Neural Netw., vol. 18, no. 5, pp. 1433-1441, Sep. 2007. (Pubitemid 47408542)
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.5 , pp. 1433-1441
    • Leiva-Murillo, J.M.1    Artes-Rodriguez, A.2
  • 33
    • 0036952435 scopus 로고    scopus 로고
    • Conditionally independent component analysis for supervised feature extraction
    • Dec.
    • S. Akaho, "Conditionally independent component analysis for supervised feature extraction," Neurocomputing, vol. 49, nos. 1-4, pp. 139-155, Dec. 2002.
    • (2002) Neurocomputing , vol.49 , Issue.1-4 , pp. 139-155
    • Akaho, S.1
  • 35
    • 0345153397 scopus 로고    scopus 로고
    • Independent component discriminant analysis
    • U. Amato, A. Antoniadis, and G. Gregoire, "Independent component discriminant analysis," Int. J. Math., vol. 3, no. 7, pp. 735-753, 2003.
    • (2003) Int. J. Math. , vol.3 , Issue.7 , pp. 735-753
    • Amato, U.1    Antoniadis, A.2    Gregoire, G.3
  • 40
    • 22444454855 scopus 로고    scopus 로고
    • Cascaded classifiers
    • E. Alpaydin and C. Kaynak, "Cascaded classifiers," Kybernetika, vol. 34, no. 4, pp. 369-374, 1998.
    • (1998) Kybernetika , vol.34 , Issue.4 , pp. 369-374
    • Alpaydin, E.1    Kaynak, C.2
  • 42
    • 0038548330 scopus 로고    scopus 로고
    • The production and recognition of emotions in speech: Features and algorithms
    • Jul.
    • O. Pierre-Yves, "The production and recognition of emotions in speech: Features and algorithms," Int. J. Human-Comput. Stud., vol. 59, nos. 1-2, pp. 157-183, Jul. 2003.
    • (2003) Int. J. Human-Comput. Stud. , vol.59 , Issue.1-2 , pp. 157-183
    • Pierre-Yves, O.1
  • 44
    • 0026120634 scopus 로고
    • Letter recognition using Holland-style adaptive classifiers
    • Mar.
    • P. W. Frey and D. J. Slate, "Letter recognition using Holland-style adaptive classifiers," Mach. Learn., vol. 6, no. 2, pp. 161-182, Mar. 1991.
    • (1991) Mach. Learn. , vol.6 , Issue.2 , pp. 161-182
    • Frey, P.W.1    Slate, D.J.2
  • 45
    • 0003852679 scopus 로고    scopus 로고
    • Handwritten digit recognition by combined classifiers
    • M. P. W. Breukelen, D. M. J. Tax, and J. E. Hartog, "Handwritten digit recognition by combined classifiers," Kybernetika, vol. 34, no. 4, pp. 381-386, 1998.
    • (1998) Kybernetika , vol.34 , Issue.4 , pp. 381-386
    • Breukelen, M.P.W.1    Tax, D.M.J.2    Hartog, J.E.3
  • 48
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Schölkopf C. Burges, and A. Smola, Eds. Cambridge, MA: MIT Press
    • T. Joachims, "Making large-scale SVM learning practical," in Advances in Kernel Methods-Support Vector Learning, B. Schölkopf, C. Burges, and A. Smola, Eds. Cambridge, MA: MIT Press, 1999.
    • (1999) Advances in Kernel Methods-Support Vector Learning
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.