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Volumn 1, Issue , 2012, Pages 559-566

Dimensionality reduction by local discriminative Gaussians

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION TECHNIQUES; EIGEN DECOMPOSITION; FEATURE DIMENSIONS; GAUSSIANS; GRADIENT DESCENT; ITERATIVE SOLUTIONS; LEAVE-ONE-OUT; LINEAR DIMENSIONALITY REDUCTION; OBJECTIVE FUNCTIONS; QUADRATIC DISCRIMINANT ANALYSIS; TEST DATA; TRAINING DATA; TRAINING ERRORS; TRAINING EXAMPLE; TRANSFER LEARNING;

EID: 84867133519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (10)
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    • Fisher, R.A.1
  • 6
    • 0141480056 scopus 로고    scopus 로고
    • Comparison of discriminative training methods for speaker verification
    • vol.1, Apr.
    • Ma, C. and Chang, E. Comparison of discriminative training methods for speaker verification. In Proc. IEEE ICASSP 2003, volume 1, pp. 1-192 - 1-195 vol.1, Apr. 2003.
    • (2003) Proc. IEEE ICASSP 2003 , vol.1 , pp. 1192-1195
    • Ma, C.1    Chang, E.2
  • 7
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of maxdependency, max-relevance, and min-redundancy
    • Aug.
    • Peng, H., Long, F, and Ding, C. Feature selection based on mutual information criteria of maxdependency, max-relevance, and min-redundancy. IEEE Trans. Pattern Analysis and Machine Intelligence, 27(8):1226-1238, Aug. 2005.
    • (2005) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 8
    • 78149318752 scopus 로고    scopus 로고
    • Adapting visual category models to new domains
    • Proc. Computer Vision ECCV 2010
    • Saenko, K., Kulis, B., Fritz, M., and Darrell, T. Adapting visual category models to new domains. In Proc. Computer Vision ECCV 2010, volume 6314 of Lecture Notes in Computer Science, pp. 213-226. 2010.
    • (2010) Lecture Notes in Computer Science , vol.6314 , pp. 213-226
    • Saenko, K.1    Kulis, B.2    Fritz, M.3    Darrell, T.4
  • 9
    • 34249086815 scopus 로고    scopus 로고
    • Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis
    • May
    • Sugiyama, M. Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis. J Mach. Learn. Res., 8:1027-1061, May 2007.
    • (2007) J Mach. Learn. Res. , vol.8 , pp. 1027-1061
    • Sugiyama, M.1
  • 10
    • 61749090884 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • June
    • Weinberger, K. Q. and Saul, L. K. Distance metric learning for large margin nearest neighbor classification. J. Mach. Learn. Res., 10:207-244, June 2009.
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    • Weinberger, K.Q.1    Saul, L.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.