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Volumn 2, Issue , 2003, Pages 1268-1273

Scaling, Rotation, and Translation Invariant Image Recognition using Competing Multiple Subspaces

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION; IMAGE CODING; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; VISION;

EID: 0141460535     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (11)
  • 1
    • 0033213812 scopus 로고    scopus 로고
    • Unsupervised visual learning of three-dimensional objects using a modular network architecture
    • Ando, H., Suzuki, S., Fujita, T.: Unsupervised visual learning of three-dimensional objects using a modular network architecture. Neural Networks 12 (1999) 1037-1051
    • (1999) Neural Networks , vol.12 , pp. 1037-1051
    • Ando, H.1    Suzuki, S.2    Fujita, T.3
  • 2
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • Fukushima, K.: Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biol. Cyb. 36 (1990) 193-202
    • (1990) Biol. Cyb. , vol.36 , pp. 193-202
    • Fukushima, K.1
  • 3
  • 6
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes, C., Vapnik, V.: Support vector networks. Machine Learning 20 (1995) 273-297
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 7
    • 0002615660 scopus 로고    scopus 로고
    • Geometry and invariance in kernel based methods
    • Schölkopf, B., Burges, C., Smola, A., eds. MIT Press, Cambridge
    • Burges, C.: Geometry and invariance in kernel based methods. In Schölkopf, B., Burges, C., Smola, A., eds.: Advances in kernel methods - support vector learning. MIT Press, Cambridge (1998) 127-144
    • (1998) Advances in Kernel Methods - Support Vector Learning , pp. 127-144
    • Burges, C.1
  • 8
    • 0032786569 scopus 로고    scopus 로고
    • Improving support vector machine classifi ers by modifying kernel functions
    • Amari, S., Wu, S.: Improving support vector machine classifi ers by modifying kernel functions. Neural Networks 12 (1999) 783-789
    • (1999) Neural Networks , vol.12 , pp. 783-789
    • Amari, S.1    Wu, S.2
  • 9
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Schölkopf, B., Smola, A., Mueller, K.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10 (1998) 1299-1319
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Mueller, K.3
  • 10
    • 0000362092 scopus 로고
    • Non-linear dimensionality reduction
    • Hanson, S.J., Cowan, J.D., Giles, C.L., eds., Morgan Kaufmann, San Mateo, CA
    • DeMers, D., Cottrell, G.: Non-linear dimensionality reduction. In Hanson, S.J., Cowan, J.D., Giles, C.L., eds.: Advances in Neural Information Processing Systems. Volume 5., Morgan Kaufmann, San Mateo, CA (1993) 580-587
    • (1993) Advances in Neural Information Processing Systems , vol.5 , pp. 580-587
    • Demers, D.1    Cottrell, G.2
  • 11
    • 0032669003 scopus 로고    scopus 로고
    • Subspace classifier in the hilbert space
    • Tsuda, K.: Subspace classifier in the hilbert space. Pattern Recognition Letters 20 (1999) 513-519
    • (1999) Pattern Recognition Letters , vol.20 , pp. 513-519
    • Tsuda, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.