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Volumn 77, Issue 1-3, 2008, Pages 3-24

Learning to locate informative features for visual identification

Author keywords

Interclass transfer; Learning from new examples; Object identification; Object recognition; One shot learning; Parametric models

Indexed keywords

CASCADE CONTROL SYSTEMS; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; LEARNING SYSTEMS; MATHEMATICAL MODELS; VISUAL SERVOING;

EID: 39749138078     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-007-0093-5     Document Type: Article
Times cited : (21)

References (36)
  • 1
    • 0033208584 scopus 로고    scopus 로고
    • A computational model for visual selection
    • 7
    • Amit, Y., & Geman, D. (1999). A computational model for visual selection. Neural Computation, 11(7), 1691-1715.
    • (1999) Neural Computation , vol.11 , pp. 1691-1715
    • Amit, Y.1    Geman, D.2
  • 5
    • 24644502276 scopus 로고    scopus 로고
    • Shape matching and object recognition using low distortion correspondence
    • Berg, A., Berg, T., & Malik, J. (2005). Shape matching and object recognition using low distortion correspondence. In CVPR (pp. 26-33).
    • (2005) CVPR , pp. 26-33
    • Berg, A.1    Berg, T.2    Malik, J.3
  • 6
    • 24644483742 scopus 로고    scopus 로고
    • Part-based statistical models for object classification and detection
    • Bernstein, E. J., & Amit, Y. (2005). Part-based statistical models for object classification and detection. In IEEE Computer vision and pattern recognition (pp. 734-740).
    • (2005) IEEE Computer Vision and Pattern Recognition , pp. 734-740
    • Bernstein, E.J.1    Amit, Y.2
  • 8
    • 17444392509 scopus 로고    scopus 로고
    • The CSU face identification evaluation system: Its purpose, features and structure
    • Bolme, D., Beveridge, R., Teixeira, M., & Draper, B. (2003). The CSU face identification evaluation system: Its purpose, features and structure. In ICVS (pp. 128-138).
    • (2003) ICVS , pp. 128-138
    • Bolme, D.1    Beveridge, R.2    Teixeira, M.3    Draper, B.4
  • 9
    • 0022738064 scopus 로고
    • Why faces are and are not special: An effect of expertise
    • Diamond, R., & Carey, S. (1986). Why faces are and are not special: An effect of expertise. Journal of Experimental Psychology, 115, 107-117.
    • (1986) Journal of Experimental Psychology , vol.115 , pp. 107-117
    • Diamond, R.1    Carey, S.2
  • 12
    • 0344983284 scopus 로고    scopus 로고
    • A Bayesian approach to unsupervised one-shot learning of object categories
    • Fei-Fei, L., Fergus, R., & Perona, P. (2003). A Bayesian approach to unsupervised one-shot learning of object categories. In International conference on computer vision (Vol. 2, pp. 1134-1141).
    • (2003) International Conference on Computer Vision , vol.2 , pp. 1134-1141
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 13
    • 33645690579 scopus 로고    scopus 로고
    • Fast binary feature selection with conditional mutual information
    • Fleuret, F. (2004). Fast binary feature selection with conditional mutual information. Journal of Machine Learning Research, 5, 1531-1555.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1531-1555
    • Fleuret, F.1
  • 15
    • 0003941277 scopus 로고    scopus 로고
    • (A.I. Memo No. 521). Massachusetts Institute of Technology Artificial Intelligence Lab, May 2000
    • Heisele, B., Poggio, T., & Pontil, M. (2000). Face detection in still gray images (A.I. Memo No. 521). Massachusetts Institute of Technology Artificial Intelligence Lab, May 2000.
    • (2000) Face Detection in Still Gray Images
    • Heisele, B.1    Poggio, T.2    Pontil, M.3
  • 16
    • 84898031258 scopus 로고    scopus 로고
    • Discriminative training of hyper-feature models for object identification
    • Jain, V., Ferencz, A., & Learned-Miller, E. (2006). Discriminative training of hyper-feature models for object identification. In British machine vision conference (Vol. 1, pp. 357-366).
    • (2006) British Machine Vision Conference , vol.1 , pp. 357-366
    • Jain, V.1    Ferencz, A.2    Learned-Miller, E.3
  • 19
    • 0001649941 scopus 로고
    • A two-variate gamma type distribution
    • Kibble, W. F. (1941). A two-variate gamma type distribution. Sankhya, 5, 137-150.
    • (1941) Sankhya , vol.5 , pp. 137-150
    • Kibble, W.F.1
  • 20
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • 2
    • Lowe, D. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2), 91-110.
    • (2004) International Journal of Computer Vision , vol.60 , pp. 91-110
    • Lowe, D.1
  • 24
    • 0035683817 scopus 로고    scopus 로고
    • Shape contexts enable efficient retrieval of similar shapes
    • Mori, G., Belongie, S., & Malik, J. (2001). Shape contexts enable efficient retrieval of similar shapes. In CVPR (pp. 723-730).
    • (2001) CVPR , pp. 723-730
    • Mori, G.1    Belongie, S.2    Malik, J.3
  • 25
    • 0003228999 scopus 로고    scopus 로고
    • A statistical approach to 3d object detection applied to faces and cars
    • Schneiderman, H., & Kanade, T. (2000). A statistical approach to 3d object detection applied to faces and cars. In CVPR (pp. 1746-1759).
    • (2000) CVPR , pp. 1746-1759
    • Schneiderman, H.1    Kanade, T.2
  • 26
    • 14344263356 scopus 로고    scopus 로고
    • Computing Gaussian mixture models with em using equivalence constraints
    • Shental, N., Bar-Hillel, A., Hertz, T., & Weinshall, D. (2003). Computing Gaussian mixture models with EM using equivalence constraints. In NIPS.
    • (2003) NIPS
    • Shental, N.1    Bar-Hillel, A.2    Hertz, T.3    Weinshall, D.4
  • 27
    • 5044238103 scopus 로고    scopus 로고
    • Adjustment learning and relevant component analysis
    • Shental, N., Hertz, T., Weinshall, D., & Pavel, M. (2002). Adjustment learning and relevant component analysis. In ECCV.
    • (2002) ECCV
    • Shental, N.1    Hertz, T.2    Weinshall, D.3    Pavel, M.4
  • 28
    • 0033944041 scopus 로고    scopus 로고
    • FFA: A flexible fusiform area for subordinate-level visual processing automatized by expertise
    • 8
    • Tarr, M., & Gauthier, I. (2000). FFA: A flexible fusiform area for subordinate-level visual processing automatized by expertise. Nature Neuroscience, 3(8), 764-769.
    • (2000) Nature Neuroscience , vol.3 , pp. 764-769
    • Tarr, M.1    Gauthier, I.2
  • 31


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.