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Volumn , Issue , 2010, Pages 2604-2607

Prototype learning using metric learning based behavior recognition

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIOR RECOGNITION; CLASSIFICATION PERFORMANCE; COMPOUND FEATURES; HUMAN BEHAVIORS; LOCAL FEATURE; METRIC LEARNING; MOTION FEATURES; NEAREST NEIGHBOR CLASSIFIERS; PROTOTYPE LEARNING;

EID: 78149474748     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.638     Document Type: Conference Paper
Times cited : (4)

References (17)
  • 1
    • 2342464222 scopus 로고    scopus 로고
    • Recognition of human actions using motion history information extracted from the compressed video
    • R. Babu and K. Ramakrishnan. Recognition of human actions using motion history information extracted from the compressed video. Image and Vision computing, 22:597-507, 2004.
    • (2004) Image and Vision Computing , vol.22 , pp. 597-1507
    • Babu, R.1    Ramakrishnan, K.2
  • 8
    • 0026982122 scopus 로고
    • Discriminative learning for minimization error classification
    • B. Juang and S. Katagiri. Discriminative learning for minimization error classification. IEEE Trans. Signal Process, 40:3043-3054, 1992.
    • (1992) IEEE Trans. Signal Process , vol.40 , pp. 3043-3054
    • Juang, B.1    Katagiri, S.2
  • 11
    • 0035283342 scopus 로고    scopus 로고
    • Evaluation of prototype learning algorithms for nearest-neighbor classifier in application to handwritten character recognition
    • C. Liu and M. Nakagawa. Evaluation of prototype learning algorithms for nearest-neighbor classifier in application to handwritten character recognition. Pattern Recognition, 34:601-615, 2001.
    • (2001) Pattern Recognition , vol.34 , pp. 601-615
    • Liu, C.1    Nakagawa, M.2
  • 12
    • 0001015964 scopus 로고    scopus 로고
    • A formulation of learning vector quantization using a new misclassification measure
    • A. Sato and K. Yamada. A formulation of learning vector quantization using a new misclassification measure. Proceedings of the 14th ICPR, 1:322-325, 1998.
    • (1998) Proceedings of the 14th ICPR , vol.1 , pp. 322-325
    • Sato, A.1    Yamada, K.2
  • 15
    • 0038159964 scopus 로고    scopus 로고
    • Soft learning vectory quantization
    • S. Seo and K. Obermayer. Soft learning vectory quantization. Neural Computation, 15:1589-1604, 2003.
    • (2003) Neural Computation , vol.15 , pp. 1589-1604
    • Seo, S.1    Obermayer, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.