메뉴 건너뛰기




Volumn 6, Issue 4, 2004, Pages 269-284

Generative binary codes

Author keywords

Bayesian networks; Distributed binary coding; EM learning; Generative models; Image coding and denoising; Mean field inference

Indexed keywords


EID: 1642317045     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-003-0194-x     Document Type: Article
Times cited : (18)

References (82)
  • 5
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EM algorithm
    • Jordan MI, Jacobs RA (1994) Hierarchical mixtures of experts and the EM algorithm. Neural Computation 6: 181-214
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 7
    • 0031573050 scopus 로고    scopus 로고
    • Factor analysis using delta-rule wake-sleep learning
    • Neal RM, Dayan P (1997) Factor analysis using delta-rule wake-sleep learning. Neural Computation 9: 1781-1803
    • (1997) Neural Computation , vol.9 , pp. 1781-1803
    • Neal, R.M.1    Dayan, P.2
  • 8
    • 0742267058 scopus 로고    scopus 로고
    • A simple algorithm that discovers efficient perceptual codes
    • Harris L, Jenkin M (eds). Cambridge University Press
    • Frey BJ, Hinton GE (1997) A simple algorithm that discovers efficient perceptual codes. In: Harris L, Jenkin M (eds) Computational and Biological Mechanisms of Visual Coding. Cambridge University Press
    • (1997) Computational and Biological Mechanisms of Visual Coding
    • Frey, B.J.1    Hinton, G.E.2
  • 9
    • 0032528695 scopus 로고    scopus 로고
    • Blind source separation and deconvolution: The dynamic component analysis algorithm
    • Attias H, Schreiner CE (1998) Blind source separation and deconvolution: The dynamic component analysis algorithm. Neural Computation 10: 1373-1424
    • (1998) Neural Computation , vol.10 , pp. 1373-1424
    • Attias, H.1    Schreiner, C.E.2
  • 10
    • 0033556834 scopus 로고    scopus 로고
    • Independent component analysis using an extended infomax algorithm for mixed subgausian sources
    • Lee TW, Girolami M, Sejnowski TJ (1999) Independent component analysis using an extended infomax algorithm for mixed subgausian sources. Neural Computation 11: 417-441
    • (1999) Neural Computation , vol.11 , pp. 417-441
    • Lee, T.W.1    Girolami, M.2    Sejnowski, T.J.3
  • 11
    • 0000466122 scopus 로고    scopus 로고
    • Survey on independent component analysis
    • Hyvärinen A (1999) Survey on independent component analysis. Neural Comput Surv 2: 94-128. http://www.icsi.berkeley.edu/jagota/NCS
    • (1999) Neural Comput Surv , vol.2 , pp. 94-128
    • Hyvärinen, A.1
  • 12
    • 0032533057 scopus 로고    scopus 로고
    • Information maximization and independent component analysis: Is there a difference?
    • Obradovic D, Deco G (1998) Information maximization and independent component analysis: Is there a difference? Neural Computation 10(8): 2085-2101
    • (1998) Neural Computation , vol.10 , Issue.8 , pp. 2085-2101
    • Obradovic, D.1    Deco, G.2
  • 13
    • 0026954958 scopus 로고
    • Principal components, minor components, and linear neural networks
    • Oja E (1992) Principal components, minor components, and linear neural networks. Neural Networks 5: 927-935
    • (1992) Neural Networks , vol.5 , pp. 927-935
    • Oja, E.1
  • 14
    • 0003520380 scopus 로고    scopus 로고
    • Probabilistic principal component analysis
    • Aston University, Neural Computing Research Group
    • Tipping ME, Bishop CM (1997) Probabilistic principal component analysis. Technical Report (NCRG/97/010), Aston University, Neural Computing Research Group, http://www.ncrg.aston.ac.uk/
    • (1997) Technical Report , vol.NCRG-97-010
    • Tipping, M.E.1    Bishop, C.M.2
  • 17
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • Hinton GE, Dayan P, Frey BJ, Neal RM (1995) The wake-sleep algorithm for unsupervised neural networks. Science 268: 1158-1160
    • (1995) Science , vol.268 , pp. 1158-1160
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 18
    • 0000802938 scopus 로고    scopus 로고
    • Markovian models for sequential data
    • Bengio Y (1998) Markovian models for sequential data. Neural Comput Surv 2: 129-162. http://www.icsi.berkeley.edu/jagota/NCS
    • (1998) Neural Comput Surv , vol.2 , pp. 129-162
    • Bengio, Y.1
  • 19
    • 0142080708 scopus 로고    scopus 로고
    • Call-based fraud detection in mobile communication networks using a hierarchical regime-switching
    • Kearns MJ, Solla SA, Cohn DA (eds). MIT Press
    • Hollmén J, Tresp V (1999) Call-based fraud detection in mobile communication networks using a hierarchical regime-switching. In: Kearns MJ, Solla SA, Cohn DA (eds) Advances in Neural Information Processing Systems 11. MIT Press
    • (1999) Advances in Neural Information Processing Systems , vol.11
    • Hollmén, J.1    Tresp, V.2
  • 21
  • 22
    • 84898997996 scopus 로고    scopus 로고
    • On a modification to the mean field EM algorithm in factorial learning
    • Touretzky D, Moser M, Hasselmo M (eds). MIT Press
    • Dunmur AP, Titterington DM (1999) On a modification to the mean field EM algorithm in factorial learning. In: Touretzky D, Moser M, Hasselmo M (eds) Advances in Neural Information Processing Systems 8 431-437. MIT Press
    • (1999) Advances in Neural Information Processing Systems , vol.8 , pp. 431-437
    • Dunmur, A.P.1    Titterington, D.M.2
  • 24
  • 25
    • 0035505614 scopus 로고    scopus 로고
    • The topographic organization and visualization of binary data using multivariate-bemoulli latent variable models
    • Girolami M (2001) The topographic organization and visualization of binary data using multivariate-bemoulli latent variable models. IEEE Trans Neural Networks 12(6): 1367-74
    • (2001) IEEE Trans Neural Networks , vol.12 , Issue.6 , pp. 1367-1374
    • Girolami, M.1
  • 26
    • 0033556788 scopus 로고    scopus 로고
    • Mixtures of principal component analysers
    • Tipping ME, Bishop CM (1999) Mixtures of principal component analysers. Neural Computation 11: 443-482
    • (1999) Neural Computation , vol.11 , pp. 443-482
    • Tipping, M.E.1    Bishop, C.M.2
  • 27
    • 0033561886 scopus 로고    scopus 로고
    • Independent factor analysis
    • Attias H (1999) Independent factor analysis. Neural Computation 11(4): 803-851
    • (1999) Neural Computation , vol.11 , Issue.4 , pp. 803-851
    • Attias, H.1
  • 28
    • 0032119668 scopus 로고    scopus 로고
    • The hierarchical hidden markov model: Analysis and applications
    • Fine S, Singer Y, Tishby N (1998) The hierarchical hidden markov model: Analysis and applications. Machine Learning 32(1): 41-63
    • (1998) Machine Learning , vol.32 , Issue.1 , pp. 41-63
    • Fine, S.1    Singer, Y.2    Tishby, N.3
  • 29
    • 0032021533 scopus 로고    scopus 로고
    • A hierarchical latent variable model for data visualization
    • Bishop CM, Tipping ME (1998) A hierarchical latent variable model for data visualization. IEEE Trans Patt Anal Machine Intell 20(3): 281-293
    • (1998) IEEE Trans Patt Anal Machine Intell , vol.20 , Issue.3 , pp. 281-293
    • Bishop, C.M.1    Tipping, M.E.2
  • 31
    • 0035398091 scopus 로고    scopus 로고
    • Bayesian tree-structured image modeling using wavelet-domain hidden markov models
    • Romberg JK, Choi H, Baraniuk RG (2001) Bayesian tree-structured image modeling using wavelet-domain hidden markov models. IEEE Trans Image Process 10(7): 1056-68
    • (2001) IEEE Trans Image Process , vol.10 , Issue.7 , pp. 1056-1068
    • Romberg, J.K.1    Choi, H.2    Baraniuk, R.G.3
  • 34
    • 85156256883 scopus 로고
    • Does the wake-sleep algorithm produce good density estimators?
    • Touretzky D, Moser M, Hasselmo M (eds). MIT Press
    • Frey BJ, Hinton GE, Dayan P (1995) Does the wake-sleep algorithm produce good density estimators? In: Touretzky D, Moser M, Hasselmo M (eds) Advances in Neural Information Processing Systems 8, 661-7. MIT Press
    • (1995) Advances in Neural Information Processing Systems , vol.8 , pp. 661-667
    • Frey, B.J.1    Hinton, G.E.2    Dayan, P.3
  • 35
    • 1642400673 scopus 로고    scopus 로고
    • Variational learning in graphical models and neural networks
    • Niklasson L, Boden M, Ziemke T (eds). Springer-Verlag
    • Bishop CM (1998) Variational learning in graphical models and neural networks. In: Niklasson L, Boden M, Ziemke T (eds) Proceedings 8th International Conference on Artificial Neural Networks. 13-22. Springer-Verlag
    • (1998) Proceedings 8th International Conference on Artificial Neural Networks , pp. 13-22
    • Bishop, C.M.1
  • 36
    • 0042138305 scopus 로고    scopus 로고
    • Model-independent mean-field theory as a local method for approximate propagation of information
    • Haft H, Hofmann R, Tresp V (1999) Model-independent mean-field theory as a local method for approximate propagation of information. Network 10(1): 93-105
    • (1999) Network , vol.10 , Issue.1 , pp. 93-105
    • Haft, H.1    Hofmann, R.2    Tresp, V.3
  • 37
    • 0033225865 scopus 로고    scopus 로고
    • An introduction to variational methods for graphical models
    • Jordan M, Ghahramani Z, Jaakkola T, Saul L (1999) An introduction to variational methods for graphical models. Machine Learning 37(2): 183-205
    • (1999) Machine Learning , vol.37 , Issue.2 , pp. 183-205
    • Jordan, M.1    Ghahramani, Z.2    Jaakkola, T.3    Saul, L.4
  • 38
    • 0034170950 scopus 로고    scopus 로고
    • Variational learning for switching state-space models
    • Ghahramani Z, Hinton GE (2000) Variational learning for switching state-space models. Neural Computation 12(4): 831-64
    • (2000) Neural Computation , vol.12 , Issue.4 , pp. 831-864
    • Ghahramani, Z.1    Hinton, G.E.2
  • 39
    • 26444447071 scopus 로고    scopus 로고
    • Natural image statistics and efficient coding
    • Olshausen BA, Field DJ (1996) Natural image statistics and efficient coding. Network 7: 333-339
    • (1996) Network , vol.7 , pp. 333-339
    • Olshausen, B.A.1    Field, D.J.2
  • 40
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen BA, Field DJ (1996) Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381: 607-607
    • (1996) Nature , vol.381 , pp. 607-607
    • Olshausen, B.A.1    Field, D.J.2
  • 41
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employed by V1
    • Olshausen BA, Field DJ (1997) Sparse coding with an overcomplete basis set: A strategy employed by V1. Vision Res 37(23): 3311-3325
    • (1997) Vision Res , vol.37 , Issue.23 , pp. 3311-3325
    • Olshausen, B.A.1    Field, D.J.2
  • 42
    • 0032606945 scopus 로고    scopus 로고
    • Probabilistic framework for the adaption and comparison of image codes
    • Lewicki SM, Olshausen BA (1999) Probabilistic framework for the adaption and comparison of image codes. J Opt Soc Am A 16(7): 1587-1601
    • (1999) J Opt Soc Am A , vol.16 , Issue.7 , pp. 1587-1601
    • Lewicki, S.M.1    Olshausen, B.A.2
  • 43
    • 84898971626 scopus 로고    scopus 로고
    • Emergence of topography and complex cell properties from natural images using extensions of ICA
    • Solla SA, Leen TK, Müller K-R (eds). MIT Press
    • Hyvärinen A, Hoyer P (1999) Emergence of topography and complex cell properties from natural images using extensions of ICA. In: Solla SA, Leen TK, Müller K-R (eds) Advances in Neural Information Processing Systems 12, 827-833. MIT Press
    • (1999) Advances in Neural Information Processing Systems , vol.12 , pp. 827-833
    • Hyvärinen, A.1    Hoyer, P.2
  • 44
    • 0348223982 scopus 로고    scopus 로고
    • Sparse code shrinkage: Denoising of nongaussian data by maximum likelihood estimation
    • Hyvärinen A (1999) Sparse code shrinkage: Denoising of nongaussian data by maximum likelihood estimation. Neural Computation 11(7): 1739-1768
    • (1999) Neural Computation , vol.11 , Issue.7 , pp. 1739-1768
    • Hyvärinen, A.1
  • 45
    • 0032492432 scopus 로고    scopus 로고
    • Independent component filters for natural images compared with simple cells in primary visual cortex
    • Hateren JH, Van Der Schaaf A (1998) Independent component filters for natural images compared with simple cells in primary visual cortex. Proc Roy Soc Lond B 265(1394): 359-366
    • (1998) Proc Roy Soc Lond B , vol.265 , Issue.1394 , pp. 359-366
    • Hateren, J.H.1    Van Der Schaaf, A.2
  • 46
    • 0034133184 scopus 로고    scopus 로고
    • Learning overcomplete representations
    • Lewicki M, Sejnowski TJ (2000) Learning overcomplete representations. Neural Computation 12(2): 337-365
    • (2000) Neural Computation , vol.12 , Issue.2 , pp. 337-365
    • Lewicki, M.1    Sejnowski, T.J.2
  • 48
    • 0033338289 scopus 로고    scopus 로고
    • Image compression via joint statistical characterization in the wavelet domain
    • Buccigrossi RW, Simoncelli EP (1999) Image compression via joint statistical characterization in the wavelet domain. IEEE Trans Image Process 8(12): 1688-1701
    • (1999) IEEE Trans Image Process , vol.8 , Issue.12 , pp. 1688-1701
    • Buccigrossi, R.W.1    Simoncelli, E.P.2
  • 49
    • 0042260130 scopus 로고    scopus 로고
    • Robust 'topological' codes by keeping control of internal redundancy
    • Haft M (1998) Robust 'topological' codes by keeping control of internal redundancy. Phys Rev Lett 81(18): 4016-4019
    • (1998) Phys Rev Lett , vol.81 , Issue.18 , pp. 4016-4019
    • Haft, M.1
  • 50
    • 0025401005 scopus 로고
    • Computational complexity of probabilistic inference using bayesian belief networks
    • Cooper G (1990) Computational complexity of probabilistic inference using bayesian belief networks. Artif Intell 42: 393-405
    • (1990) Artif Intell , vol.42 , pp. 393-405
    • Cooper, G.1
  • 51
    • 4243628952 scopus 로고
    • Nonlinear neural networks
    • van Hemmen JL, Kühn R (1986) Nonlinear neural networks. Phys Rev Lett 57(7): 913-916
    • (1986) Phys Rev Lett , vol.57 , Issue.7 , pp. 913-916
    • Van Hemmen, J.L.1    Kühn, R.2
  • 54
    • 0001406440 scopus 로고
    • A mean field theory learning algorithm for neural networks
    • Peterson C, Anderson JR (1987) A mean field theory learning algorithm for neural networks. Complex Syst 1: 995-1019
    • (1987) Complex Syst , vol.1 , pp. 995-1019
    • Peterson, C.1    Anderson, J.R.2
  • 55
    • 0024901271 scopus 로고
    • Explorations of the mean field theory learning algorithm
    • Peterson C, Hartman E (1989) Explorations of the mean field theory learning algorithm. Neural Networks 2: 475-494
    • (1989) Neural Networks , vol.2 , pp. 475-494
    • Peterson, C.1    Hartman, E.2
  • 57
    • 0001837853 scopus 로고    scopus 로고
    • Improving the mean field approximation via the use of mixture distributions
    • Jordan MI (ed). Kulwer
    • Jaakkola TS, Jordan MI (1998) Improving the mean field approximation via the use of mixture distributions. In: Jordan MI (ed) Learning in Graphical Models, 163-173. Kulwer
    • (1998) Learning in Graphical Models , pp. 163-173
    • Jaakkola, T.S.1    Jordan, M.I.2
  • 58
    • 0032603958 scopus 로고    scopus 로고
    • Variational learning in non-linear Gaussian belief networks
    • Frey BJ, Hinton GE (1999) Variational learning in non-linear Gaussian belief networks. Neural Computation 11(1): 193-213. Available at http://www.cs.utoronto.ca/frey
    • (1999) Neural Computation , vol.11 , Issue.1 , pp. 193-213
    • Frey, B.J.1    Hinton, G.E.2
  • 60
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster AP, Laird N, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J Roy Stat Soc B 39: 1-38
    • (1977) J Roy Stat Soc B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.2    Rubin, D.B.3
  • 64
    • 26444613370 scopus 로고    scopus 로고
    • Theory and implementation of infomax filters for the retina
    • Haft M, van Hemmen JA (1998) Theory and implementation of infomax filters for the retina. Network 9: 39-71
    • (1998) Network , vol.9 , pp. 39-71
    • Haft, M.1    Van Hemmen, J.A.2
  • 65
    • 0000547924 scopus 로고
    • What does the retina know about natural scenes?
    • Atick JJ, Redlich N (1992) What does the retina know about natural scenes? Neural Computation 4: 196-210
    • (1992) Neural Computation , vol.4 , pp. 196-210
    • Atick, J.J.1    Redlich, N.2
  • 66
    • 0001187198 scopus 로고
    • Statistics of natural images: Scaling in the woods
    • Bialek W, Ruderman DL (1994) Statistics of natural images: Scaling in the woods. Phys Rev Lett 73(6): 814-817
    • (1994) Phys Rev Lett , vol.73 , Issue.6 , pp. 814-817
    • Bialek, W.1    Ruderman, D.L.2
  • 67
    • 3042609133 scopus 로고
    • The statistics of natural images
    • Ruderman DL (1994) The statistics of natural images. Network 5: 517-548
    • (1994) Network , vol.5 , pp. 517-548
    • Ruderman, D.L.1
  • 68
    • 0029718299 scopus 로고    scopus 로고
    • Learning efficient linear codes for natural images: The role of sparseness, overcompleteness, and statistical independence
    • Olshausen BA, Field DJ (1996) Learning efficient linear codes for natural images: The role of sparseness, overcompleteness, and statistical independence. Proc SPIE 2657: 132-138
    • (1996) Proc SPIE , vol.2657 , pp. 132-138
    • Olshausen, B.A.1    Field, D.J.2
  • 69
    • 0025604930 scopus 로고
    • Forming sparse representations by local anti-Hebbian learning
    • Földiak P (1990) Forming sparse representations by local anti-Hebbian learning. Biol Cybern 64: 165-170
    • (1990) Biol Cybern , vol.64 , pp. 165-170
    • Földiak, P.1
  • 70
    • 0000435426 scopus 로고
    • Finding compact and sparse-distributed representations of visual images
    • Fyfe C, Baddeley R (1995) Finding compact and sparse-distributed representations of visual images. Network 6: 333-344
    • (1995) Network , vol.6 , pp. 333-344
    • Fyfe, C.1    Baddeley, R.2
  • 71
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • Lauritzen SL, Spiegelhalter DJ (1988) Local computations with probabilities on graphical structures and their application to expert systems. J Roy Stat Soc B 50: 154-227
    • (1988) J Roy Stat Soc B , vol.50 , pp. 154-227
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 73
    • 0030832881 scopus 로고    scopus 로고
    • The 'independent components' of natural scenes are edge filters
    • Bell AJ, Sejnowski TK (1997) The 'independent components' of natural scenes are edge filters. Vision Res 37(23): 3327-38
    • (1997) Vision Res , vol.37 , Issue.23 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.K.2
  • 74
    • 0032495066 scopus 로고    scopus 로고
    • Independent component analysis for natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex
    • Hateren JH, Rudermann DL (1998) Independent component analysis for natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex. Proc Roy Soc Lond B 265(1412): 2315-2320
    • (1998) Proc Roy Soc Lond B , vol.265 , Issue.1412 , pp. 2315-2320
    • Hateren, J.H.1    Rudermann, D.L.2
  • 78
    • 33645410496 scopus 로고
    • Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
    • Hubel DH, Wiesel TN (1962) Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J Physiol 160: 106-154
    • (1962) J Physiol , vol.160 , pp. 106-154
    • Hubel, D.H.1    Wiesel, T.N.2
  • 79
    • 0017785109 scopus 로고
    • Functional architecture of macaque visual cortex
    • Hubel DH, Wiesel TN (1977) Functional architecture of macaque visual cortex. Proc Roy Soc Lond B 198: 1-59
    • (1977) Proc Roy Soc Lond B , vol.198 , pp. 1-59
    • Hubel, D.H.1    Wiesel, T.N.2
  • 80
    • 0018522614 scopus 로고
    • Brain mechanism of vision
    • Hubel DH, Wiesel TN (1979) Brain mechanism of vision. Sci Am 241: 150-160
    • (1979) Sci Am , vol.241 , pp. 150-160
    • Hubel, D.H.1    Wiesel, T.N.2
  • 82
    • 1642348786 scopus 로고
    • Learning to see: Mechanisms in experience-dependent development
    • Marler P, Terrace HS (eds). Springer-Verlag
    • Singer W (1984) Learning to see: Mechanisms in experience-dependent development. In: Marler P, Terrace HS (eds) The Biology of Learning. Springer-Verlag
    • (1984) The Biology of Learning
    • Singer, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.