Learning Viewpoint Invariant Face Representations from Visual Experience by Temporal Association
暂无分享,去创建一个
[1] Daniel J. Amit,et al. Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors , 1999, Neural Computation.
[2] Vicki Bruce,et al. Face Recognition: From Theory to Applications , 1999 .
[3] E. Rolls,et al. INVARIANT FACE AND OBJECT RECOGNITION IN THE VISUAL SYSTEM , 1997, Progress in Neurobiology.
[4] Marian Stewart Bartlett,et al. Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks , 1996, NIPS.
[5] Suzanna Becker,et al. Learning Temporally Persistent Hierarchical Representations , 1996, NIPS.
[6] D. Amit. The Hebbian paradigm reintegrated: Local reverberations as internal representations , 1995, Behavioral and Brain Sciences.
[7] N. Logothetis,et al. Psychophysical and physiological evidence for viewer-centered object representations in the primate. , 1995, Cerebral cortex.
[8] E. Rolls. Learning mechanisms in the temporal lobe visual cortex , 1995, Behavioural Brain Research.
[9] W J Freeman,et al. Characterization of state transitions in spatially distributed, chaotic, nonlinear, dynamical systems in cerebral cortex , 1994, Integrative physiological and behavioral science : the official journal of the Pavlovian Society.
[10] David Beymer,et al. Face recognition under varying pose , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[11] Mark H. Johnson,et al. Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting , 1994, Neural Computation.
[12] H H Bülthoff,et al. How are three-dimensional objects represented in the brain? , 1994, Cerebral cortex.
[13] Joachim M. Buhmann,et al. Distortion Invariant Object Recognition in the Dynamic Link Architecture , 1993, IEEE Trans. Computers.
[14] E. Capaldi,et al. The organization of behavior. , 1992, Journal of applied behavior analysis.
[15] M. Stryker. Temporal associations , 1991, Nature.
[16] Michael S. Landy,et al. Computational models of visual processing , 1991 .
[17] Peter Földiák,et al. Learning Invariance from Transformation Sequences , 1991, Neural Comput..
[18] J. Leo van Hemmen,et al. Temporal association , 1991 .
[19] T. Poggio,et al. A network that learns to recognize three-dimensional objects , 1990, Nature.
[20] Y. Miyashita. Neuronal correlate of visual associative long-term memory in the primate temporal cortex , 1988, Nature.
[21] John G. Daugman,et al. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression , 1988, IEEE Trans. Acoust. Speech Signal Process..
[22] M. Tsodyks,et al. The Enhanced Storage Capacity in Neural Networks with Low Activity Level , 1988 .
[23] A. J. Mistlin,et al. Visual neurones responsive to faces , 1987, Trends in Neurosciences.
[24] David Zipser,et al. Feature Discovery by Competive Learning , 1986, Cogn. Sci..
[25] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[26] I. Biederman,et al. Neural and psychophysical analysis of object and face recognition , 1998 .
[27] V. Bruce,et al. Human Face Perception and Identification , 1998 .
[28] Terrence J. Sejnowski,et al. Unsupervised Learning Of Invariant Representations Of Faces Through Temporal Association , 1996 .
[29] Geoffrey E. Hinton,et al. Lesioning an attractor network: investigations of acquired dyslexia. , 1991, Psychological review.
[30] Michael S. Landy,et al. Nonlinear Model of Neural Responses in Cat Visual Cortex , 1991 .
[31] Terence D. Sanger,et al. Optimal unsupervised learning in a single-layer linear feedforward neural network , 1989, Neural Networks.
[32] Erkki Oja,et al. Neural Networks, Principal Components, and Subspaces , 1989, Int. J. Neural Syst..