메뉴 건너뛰기




Volumn 39, Issue 11, 1999, Pages 1963-1989

An optimal estimation approach to visual perception and learning

Author keywords

Attention; Kalman filtering; Perceptual learning; Prediction; Segmentation; Visual recognition

Indexed keywords

ARTICLE; ATTENTION; HUMAN; LEARNING; PREDICTION; PRIORITY JOURNAL; SPATIAL ORIENTATION; STATISTICAL MODEL; VISUAL DISCRIMINATION; VISUAL MEMORY; VISUAL ORIENTATION;

EID: 0032895527     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0042-6989(98)00279-X     Document Type: Article
Times cited : (121)

References (91)
  • 4
    • 0005333925 scopus 로고
    • Cerebral cortex as model builder
    • New York: Wiley
    • Barlow, H. B. (1985). Cerebral cortex as model builder. In Models of the visual cortex (pp. 37-46). New York: Wiley.
    • (1985) In Models of the Visual Cortex , pp. 37-46
    • Barlow, H.B.1
  • 5
    • 0000797290 scopus 로고
    • What is the computational goal of the neocortex?
    • C. Koch, & J.L. Davis. Cambridge, MA: MIT Press
    • Barlow H. B. What is the computational goal of the neocortex? Koch C., Davis J.L. Large-scale neuronal theories of the brain. 1994;1-22 MIT Press, Cambridge, MA.
    • (1994) Large-scale Neuronal Theories of the Brain , pp. 1-22
    • Barlow, H.B.1
  • 6
    • 0030832881 scopus 로고    scopus 로고
    • The 'independent components' of natural scenes are edge filters
    • Bell A.J., Sejnowski T.J. The 'independent components' of natural scenes are edge filters. Vision Research. 37(23):1997;3327-3338.
    • (1997) Vision Research , vol.37 , Issue.23 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 7
    • 0031651559 scopus 로고    scopus 로고
    • Eigentracking: Robust matching and tracking of articulated objects using a view-based representation
    • Black M.J., Jepson A.D. Eigentracking: robust matching and tracking of articulated objects using a view-based representation. International Journal of Computer Vision. 26(1):1998;63-84.
    • (1998) International Journal of Computer Vision , vol.26 , Issue.1 , pp. 63-84
    • Black, M.J.1    Jepson, A.D.2
  • 12
    • 0025546745 scopus 로고
    • Size and distortion invariant object recognition by hierarchical graph matching
    • New York: IEEE Neural Networks Council San Diego
    • Buhmann, J. M., Lades, M., & Malsburg, C. v. d. (1990). Size and distortion invariant object recognition by hierarchical graph matching. In Proceedings of the IEEE IJCNN, vol. II (pp. 411-416). New York: IEEE Neural Networks Council San Diego.
    • (1990) In Proceedings of the IEEE IJCNN , vol.2 , pp. 411-416
    • Buhmann, J.M.1    Lades, M.2    Malsburg, C.V.D.3
  • 13
    • 0029063252 scopus 로고
    • How are three-dimensional objects represented in the brain?
    • Bülthoff H.H., Edelman S.Y., Tarr M.J. How are three-dimensional objects represented in the brain? Cerebral Cortex. 5(3):1995;247-260.
    • (1995) Cerebral Cortex , vol.5 , Issue.3 , pp. 247-260
    • Bülthoff, H.H.1    Edelman, S.Y.2    Tarr, M.J.3
  • 18
    • 0017759062 scopus 로고
    • Generality of the functional structure of the neocortex
    • Creutzfeldt O.D. Generality of the functional structure of the neocortex. Naturwissenschaften. 64:1977;507-517.
    • (1977) Naturwissenschaften , vol.64 , pp. 507-517
    • Creutzfeldt, O.D.1
  • 20
    • 0024053929 scopus 로고
    • Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
    • Daugman J.G. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression. IEEE Transactions on Acoustics, Speech and Signal Procedure. 36(7):1988;1169-1179.
    • (1988) IEEE Transactions on Acoustics, Speech and Signal Procedure , vol.36 , Issue.7 , pp. 1169-1179
    • Daugman, J.G.1
  • 21
    • 0027700869 scopus 로고
    • High confidence visual recognition of persons by a test of statistical independence
    • Daugman J.G. High confidence visual recognition of persons by a test of statistical independence. IEEE Transactions on Pattern Analysis and Machine Intelligence. 15(11):1993;1148-1161.
    • (1993) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.15 , Issue.11 , pp. 1148-1161
    • Daugman, J.G.1
  • 26
    • 0025718412 scopus 로고
    • Distributed hierarchical processing in the primate cerebral cortex
    • Felleman D.J., Van Essen D.C. Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex. 1:1991;1-47.
    • (1991) Cerebral Cortex , vol.1 , pp. 1-47
    • Felleman, D.J.1    Van Essen, D.C.2
  • 28
    • 0027958923 scopus 로고
    • Linearity of synaptic interactions in the assembly of receptive fields in cat visual cortex
    • Ferster D. Linearity of synaptic interactions in the assembly of receptive fields in cat visual cortex. Current Opinion in Neurobiology. 4:1994;563-568.
    • (1994) Current Opinion in Neurobiology , vol.4 , pp. 563-568
    • Ferster, D.1
  • 29
    • 0000929221 scopus 로고
    • What is the goal of sensory coding?
    • Field D.J. What is the goal of sensory coding? Neural Computation. 6:1994;559-601.
    • (1994) Neural Computation , vol.6 , pp. 559-601
    • Field, D.J.1
  • 30
    • 0028231626 scopus 로고
    • The generic viewpoint assumption in a framework for visual perception
    • Freeman W.T. The generic viewpoint assumption in a framework for visual perception. Nature. 368:1994;542-545.
    • (1994) Nature , vol.368 , pp. 542-545
    • Freeman, W.T.1
  • 32
    • 0017083148 scopus 로고
    • Adaptive pattern classification and universal recoding: II. Feedback, expectation, olfaction, illusions
    • Grossberg S. Adaptive pattern classification and universal recoding: II. Feedback, expectation, olfaction, illusions. Biological Cybernetics. 23:1976;187-202.
    • (1976) Biological Cybernetics , vol.23 , pp. 187-202
    • Grossberg, S.1
  • 35
    • 0000852458 scopus 로고    scopus 로고
    • Development of low-entropy coding in a recurrent network
    • Harpur G.F., Prager R.W. Development of low-entropy coding in a recurrent network. Network. 7:1996;277-284.
    • (1996) Network , vol.7 , pp. 277-284
    • Harpur, G.F.1    Prager, R.W.2
  • 36
    • 0023195718 scopus 로고
    • The inversion of sensory processing by feedback pathways: A model of visual cognitive functions
    • Harth E., Unnikrishnan K.P., Pandya A.S. The inversion of sensory processing by feedback pathways: a model of visual cognitive functions. Science. 237:1987;184-187.
    • (1987) Science , vol.237 , pp. 184-187
    • Harth, E.1    Unnikrishnan, K.P.2    Pandya, A.S.3
  • 37
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • Hinton G.E., Dayan P., Frey B.J., Neal R.M. The wake-sleep algorithm for unsupervised neural networks. Science. 268:1995;1158-1161.
    • (1995) Science , vol.268 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 46
    • 34247861846 scopus 로고
    • A forward-inverse optics model of reciprocal connections between visual cortical areas
    • Kawato M., Hayakawa H., Inui T. A forward-inverse optics model of reciprocal connections between visual cortical areas. Network. 4:1993;415-422.
    • (1993) Network , vol.4 , pp. 415-422
    • Kawato, M.1    Hayakawa, H.2    Inui, T.3
  • 47
    • 0003383395 scopus 로고    scopus 로고
    • High level vision as statistical inference
    • In M. Gazzaniga, Cambridge, MA: MIT Press (to appear)
    • Kersten, D. (1999). High level vision as statistical inference. In M. Gazzaniga, The cognitive neurosciences (2nd ed.). Cambridge, MA: MIT Press (to appear).
    • (1999) The Cognitive Neurosciences (2nd Ed.)
    • Kersten, D.1
  • 50
    • 0024177564 scopus 로고
    • Geometric hashing: A general and efficient model-based recognition scheme
    • Washington, DC: IEEE Computer Society Press
    • Lamdan, Y., & Wolfson, H. J. (1988). Geometric hashing: a general and efficient model-based recognition scheme. In International conference on computer vision (pp. 238-249). Washington, DC: IEEE Computer Society Press.
    • (1988) In International Conference on Computer Vision , pp. 238-249
    • Lamdan, Y.1    Wolfson, H.J.2
  • 51
    • 0029717337 scopus 로고    scopus 로고
    • Dealing with occlusions in the eigenspace approach
    • Los Alamitos, CA: IEEE Computer Society Press
    • Leonardis, A., & Bischof, H. (1996). Dealing with occlusions in the eigenspace approach. In Proceedings of the CVPR (pp. 453-458). Los Alamitos, CA: IEEE Computer Society Press.
    • (1996) In Proceedings of the CVPR , pp. 453-458
    • Leonardis, A.1    Bischof, H.2
  • 52
    • 84898976425 scopus 로고    scopus 로고
    • Learning nonlinear overcomplete representations for efficient coding
    • In M. I. Jordan, M. J. Kearns, & S. A. Solla, Cambridge, MA: MIT Press
    • Lewicki, M. S., & Sejnowski, T. J. (1998). Learning nonlinear overcomplete representations for efficient coding. In M. I. Jordan, M. J. Kearns, & S. A. Solla, Advances in neural information processing systems 10 (pp. 556-562). Cambridge, MA: MIT Press.
    • (1998) Advances in Neural Information Processing Systems , vol.10 , pp. 556-562
    • Lewicki, M.S.1    Sejnowski, T.J.2
  • 55
    • 0023313631 scopus 로고
    • Three-dimensional object recognition from single two-dimensional images
    • Lowe D.G. Three-dimensional object recognition from single two-dimensional images. Artificial Intelligence. 31:1987;355-395.
    • (1987) Artificial Intelligence , vol.31 , pp. 355-395
    • Lowe, D.G.1
  • 56
    • 0002324961 scopus 로고
    • The epistemological problem for automata
    • Princeton, NJ: Princeton University Press
    • MacKay, D. M. (1956). The epistemological problem for automata. In Automata studies (pp. 235-251). Princeton, NJ: Princeton University Press.
    • (1956) In Automata Studies , pp. 235-251
    • MacKay, D.M.1
  • 59
    • 0030168518 scopus 로고    scopus 로고
    • Hidden state and reinforcement learning with instance-based state identification
    • McCallum R.A. Hidden state and reinforcement learning with instance-based state identification. IEEE Transactions on Systems, Man and Cybernetics. 26(3):1996;464-473.
    • (1996) IEEE Transactions on Systems, Man and Cybernetics , vol.26 , Issue.3 , pp. 464-473
    • McCallum, R.A.1
  • 60
    • 0042826311 scopus 로고    scopus 로고
    • SEEMORE: A view-based approach to 3-D object recognition using multiple visual cues
    • D. Touretzky, M. Mozer, & M. Hasselmo. Cambridge, MA: MIT Press
    • Mel B. SEEMORE: a view-based approach to 3-D object recognition using multiple visual cues. Touretzky D., Mozer M., Hasselmo M. Advances in neural information processing systems 8. 1996;865-871 MIT Press, Cambridge, MA.
    • (1996) Advances in Neural Information Processing Systems 8 , pp. 865-871
    • Mel, B.1
  • 62
    • 0026463329 scopus 로고
    • On the computational architecture of the neocortex. II. The role of cortico-cortical loops
    • Mumford D. On the computational architecture of the neocortex. II. The role of cortico-cortical loops. Biological Cybernetics. 66:1992;241-251.
    • (1992) Biological Cybernetics , vol.66 , pp. 241-251
    • Mumford, D.1
  • 65
    • 0032316678 scopus 로고    scopus 로고
    • A Cubist approach to object recognition
    • New Dehli, India: Narosa Publishing House
    • Nelson R. C., Selinger A. A Cubist approach to object recognition. International conference on computer vision. 1998;614-621 Narosa Publishing House, New Dehli, India.
    • (1998) International Conference on Computer Vision , pp. 614-621
    • Nelson, R.C.1    Selinger, A.2
  • 66
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen B.A., Field D.J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature. 381:1996;607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 67
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employed by V1?
    • Olshausen B.A., Field D.J. Sparse coding with an overcomplete basis set: a strategy employed by V1? Vision Research. 37(23):1997;3311-3325.
    • (1997) Vision Research , vol.37 , Issue.23 , pp. 3311-3325
    • Olshausen, B.A.1    Field, D.J.2
  • 69
    • 0002096230 scopus 로고
    • Input-output organization of the primate cerebral cortex
    • H. D. Steklis, & J. Erwin. New York: Alan R. Liss
    • Pandya D. N., Seltzer B., Barbas H. Input-output organization of the primate cerebral cortex. Steklis H. D., Erwin J. Comparative primate biology, volume 4: neurosciences. 1988;39-80 Alan R. Liss, New York.
    • (1988) Comparative Primate Biology, Volume 4: Neurosciences , pp. 39-80
    • Pandya, D.N.1    Seltzer, B.2    Barbas, H.3
  • 70
    • 0003138145 scopus 로고
    • Redundancy reduction of a Gabor representation: A possible computational role for feedback from primary visual cortex to lateral geniculate nucleus
    • I. Aleksander, & J. Taylor. Amsterdam: Elsevier Science
    • Pece A. E. C. Redundancy reduction of a Gabor representation: a possible computational role for feedback from primary visual cortex to lateral geniculate nucleus. Aleksander I., Taylor J. Artificial neural networks 2. 1992;865-868 Elsevier Science, Amsterdam.
    • (1992) Artificial Neural Networks 2 , pp. 865-868
    • Pece, A.E.C.1
  • 71
    • 0040378022 scopus 로고
    • Dynamic vision
    • G. A. Carpenter, & S. Grossberg. Cambridge, MA: MIT Press
    • Pentland A.P. Dynamic vision. Carpenter G. A., Grossberg S. Neural networks for vision and image processing. 1992;133-159 MIT Press, Cambridge, MA.
    • (1992) Neural Networks for Vision and Image Processing , pp. 133-159
    • Pentland, A.P.1
  • 73
    • 0025037991 scopus 로고
    • A network that learns to recognize 3D objects
    • Poggio T., Edelman S. A network that learns to recognize 3D objects. Nature. 343:1990;263-266.
    • (1990) Nature , vol.343 , pp. 263-266
    • Poggio, T.1    Edelman, S.2
  • 75
    • 0031570014 scopus 로고    scopus 로고
    • Dynamic model of visual recognition predicts neural response properties in the visual cortex
    • Rao R.P.N., Ballard D.H. Dynamic model of visual recognition predicts neural response properties in the visual cortex. Neural Computation. 9(4):1997;721-763.
    • (1997) Neural Computation , vol.9 , Issue.4 , pp. 721-763
    • Rao, R.P.N.1    Ballard, D.H.2
  • 76
    • 0344020872 scopus 로고    scopus 로고
    • Efficient encoding of natural time varying images produces oriented space-time receptive fields
    • National Resource Laboratory for the study of Brain and Behavior, Computer Science Department, University of Rochester
    • Rao, R. P. N., & Ballard, D. H. (1997). Efficient encoding of natural time varying images produces oriented space-time receptive fields. Technical Report 97.4, National Resource Laboratory for the study of Brain and Behavior, Computer Science Department, University of Rochester.
    • (1997) Technical Report 97.4
    • Rao, R.P.N.1    Ballard, D.H.2
  • 77
    • 26444495697 scopus 로고    scopus 로고
    • Development of localized oriented receptive fields by learning a translation-invariant code for natural images
    • Rao R.P.N., Ballard D.H. Development of localized oriented receptive fields by learning a translation-invariant code for natural images. Network: Computation in Neural Systems. 9(2):1998;219-234.
    • (1998) Network: Computation in Neural Systems , vol.9 , Issue.2 , pp. 219-234
    • Rao, R.P.N.1    Ballard, D.H.2
  • 78
    • 0033360288 scopus 로고    scopus 로고
    • Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive field effects
    • in press
    • Rao, R. P. N., & Ballard, D. H. (1999). Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive field effects. Nature Neuroscience 2(1) (in press).
    • (1999) Nature Neuroscience , vol.2 , Issue.1
    • Rao, R.P.N.1    Ballard, D.H.2
  • 79
    • 84898929164 scopus 로고    scopus 로고
    • Learning Lie transformation groups for invariant visual perception
    • In M. Kearns, S.A. Solla, & D. Cohn, Cambridge, MA: MIT Press (in press)
    • Rao, R. P. N., & Ruderman, D. L. (1999). Learning Lie transformation groups for invariant visual perception. In M. Kearns, S.A. Solla, & D. Cohn, Advances in neural information processing systems 11. Cambridge, MA: MIT Press (in press).
    • (1999) Advances in Neural Information Processing Systems , vol.11
    • Rao, R.P.N.1    Ruderman, D.L.2
  • 81
    • 0029703437 scopus 로고    scopus 로고
    • Combining greyvalue invariants with local constraints for object recognition
    • Los Alamitos, CA: IEEE Computer Society Press. 872-877)
    • Schmid, C., & Mohr, R. (1996). Combining greyvalue invariants with local constraints for object recognition. In Proceedings of the conference on computer vision and pattern recognition (pp. 872-877). Los Alamitos, CA: IEEE Computer Society Press.
    • (1996) In Proceedings of the Conference on Computer Vision and Pattern Recognition
    • Schmid, C.1    Mohr, R.2
  • 83
    • 0342411549 scopus 로고    scopus 로고
    • Unsupervised pixel-prediction
    • D. Touretzky, M. Mozer, & M. Hasselmo. Cambridge, MA: MIT Press
    • Softky W.R. Unsupervised pixel-prediction. Touretzky D., Mozer M., Hasselmo M. Advances in neural information processing systems 8. 1996;809-815 MIT Press, Cambridge, MA.
    • (1996) Advances in Neural Information Processing Systems 8 , pp. 809-815
    • Softky, W.R.1
  • 85
    • 0024651202 scopus 로고
    • Mental rotation and orientation-dependence in shape recognition
    • Tarr M.J., Pinker S. Mental rotation and orientation-dependence in shape recognition. Cognitive Psychology. 21:1989;233-282.
    • (1989) Cognitive Psychology , vol.21 , pp. 233-282
    • Tarr, M.J.1    Pinker, S.2
  • 87
    • 0002651020 scopus 로고
    • Two cortical visual systems
    • D. Ingle, M. Goodale, & R. Mansfield. Cambridge, MA: MIT Press
    • Ungerleider L., Mishkin M. Two cortical visual systems. Ingle D., Goodale M., Mansfield R. Analysis of visual behavior. 1982;549-585 MIT Press, Cambridge, MA.
    • (1982) Analysis of Visual Behavior , pp. 549-585
    • Ungerleider, L.1    Mishkin, M.2
  • 88
    • 0021072179 scopus 로고
    • Hierarchical organization and functional streams in the visual cortex
    • Van Essen D.C., Maunsell J.H.R. Hierarchical organization and functional streams in the visual cortex. Trends in Neuroscience. 6:1983;370-375.
    • (1983) Trends in Neuroscience , vol.6 , pp. 370-375
    • Van Essen, D.C.1    Maunsell, J.H.R.2
  • 89
    • 0000709252 scopus 로고
    • Functional organization of primate visual cortex
    • A. Peters, Jones E. G. New York, NY: Plenum
    • Van Essen D.C. Functional organization of primate visual cortex. Peters A., Jones E. G. Cerebral cortex. 3:1985;259-329 Plenum, New York, NY.
    • (1985) Cerebral Cortex , vol.3 , pp. 259-329
    • Van Essen, D.C.1
  • 90
    • 0345315043 scopus 로고    scopus 로고
    • Complex feature recognition: A Bayesian approach for learning to recognise objects
    • MIT, Cambridge, MA
    • Viola, P. (1996). Complex feature recognition: A Bayesian approach for learning to recognise objects. Artificial Intelligence Lab Memo 1591, MIT, Cambridge, MA.
    • (1996) Artificial Intelligence Lab Memo , vol.1591
    • Viola, P.1
  • 91
    • 0002557085 scopus 로고
    • Learning to perceive and act by trial and error
    • Whitehead S.D., Ballard D.H. Learning to perceive and act by trial and error. Machine Learning. 7(1):1991;45-83.
    • (1991) Machine Learning , vol.7 , Issue.1 , pp. 45-83
    • Whitehead, S.D.1    Ballard, D.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.