메뉴 건너뛰기




Volumn 3299, Issue , 1998, Pages 528-539

Independent component representations for face recognition

Author keywords

Face recognition.; ICA; Independent component analysis; PCA; Principal component analysis

Indexed keywords

FACE RECOGNITION; INDEPENDENT COMPONENT ANALYSIS; PIXELS;

EID: 85076744892     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.320144     Document Type: Conference Paper
Times cited : (225)

References (16)
  • 1
    • 0029411030 scopus 로고
    • An information maximization approach to blind separation and blind deconvolution
    • A. Bell and T. Sejnowski, An information maximization approach to blind separation and blind deconvolution, Neural Computation 7, pp. 1129-1159, 1995.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.1    Sejnowski, T.2
  • 2
    • 0000100158 scopus 로고
    • Face, gender and emotion recognition using holons
    • D. Touretzky, ed. Morgan Kaufman, (San Mateo, CA)
    • G. Cottrell and J. . Metcalfe, Face, gender and emotion recognition using holons, in Advances in Neural Information Processing Systems, D. Touretzky, ed. , vol. 3, pp. 564-571, Morgan Kaufman, (San Mateo, CA), 1991
    • (1991) Advances in Neural Information Processing Systems , vol.3 , pp. 564-571
    • Cottrell, G.1    Metcalfe, J.2
  • 3
    • 0026065565 scopus 로고
    • Eigenfaces for recognition
    • M. Turk and A. Pentland, Eigenfaces for recognition, J. Cog. Neurosci. 3(1), pp. 71-86, 1991.
    • (1991) J. Cog. Neurosci , vol.3 , Issue.1 , pp. 71-86
    • Turk, M.1    Pentland, A.2
  • 4
    • 0000209334 scopus 로고    scopus 로고
    • Local feature analysis: A general statistical theory for object representation
    • P. Penev and J. Atick, Local feature analysis: a general statistical theory for object representation, Network: Computation in Neural Systems 7(3), pp. 477-500, 1996.
    • (1996) Network: Computation in Neural Systems , vol.7 , Issue.3 , pp. 477-500
    • Penev, P.1    Atick, J.2
  • 6
    • 0028416938 scopus 로고
    • Independent component analysis A new concept?
    • P. Comon, Independent component analysis -a new concept?, Signal Processing 36, pp. 287-314, 1994.
    • (1994) Signal Processing , vol.36 , pp. 287-314
    • Comon, P.1
  • 7
    • 85078284647 scopus 로고    scopus 로고
    • Independent component analysis of electroencephalographic data
    • D. Touretzky, M. Mozer, and M. Hasselmo, eds MIT Press, Cambridge, MA
    • S. Makeig, A. Bell, T. -P. Jung, and T. Sejnowski, Independent component analysis of electroencephalographic data, in Advances in Neural Information Processing Systems, D. Touretzky, M. Mozer, and M. Hasselmo, eds. , vol. 8, pp. 145-151, MIT Press, (Cambridge, MA), 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 145-151
    • Makeig, S.1    Bell, A.2    Jung, P.T.3    Sejnowski, T.4
  • 9
    • 0030832881 scopus 로고    scopus 로고
    • The independent components of natural scenes are edge filters
    • A. Bell and T. Sejnowski, The independent components of natural scenes are edge filters, Vision Research 37(23), pp. 3327-3338, 1997.
    • (1997) Vision Research , vol.37 , Issue.23 , pp. 3327-3338
    • Bell, A.1    Sejnowski, T.2
  • 10
    • 0001471775 scopus 로고
    • Unsupervised learning
    • H. Barlow, Unsupervised learning, Neural Computation 1, pp. 295-311, 1989.
    • (1989) Neural Computation 1 , pp. 295-311
    • Barlow, H.1
  • 11
    • 34548281969 scopus 로고
    • Could information theory provide an ecological theory of sensory processing?
    • J. Atick, Could information theory provide an ecological theory of sensory processing?, Network 3, pp. 213-251, 1992.
    • (1992) Network , vol.3 , pp. 213-251
    • Atick, J.1
  • 14
    • 0019620028 scopus 로고
    • A simple coding procedure enhances a neuron's information capacity
    • S. Laughlin, A simple coding procedure enhances a neuron's information capacity, Z. Naturforsch 36, pp. 910-912, 1981.
    • (1981) Z. Naturforsch , vol.36 , pp. 910-912
    • Laughlin, S.1
  • 15
    • 0000772267 scopus 로고
    • Non-linear neurons in the low noise limit: A factorial code maximizes information transfer
    • J. -P. Nadal and N. Parga, Non-linear neurons in the low noise limit: a factorial code maximizes information transfer, Network 5, pp. 565-581, 1994.
    • (1994) Network , vol.5 , pp. 565-581
    • Nadal, P.J.1    Parga, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.