Learning to Segment Images Using Dynamic Feature Binding
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Richard S. Zemel | Christopher K. I. Williams | Michael C. Mozer | Marlene Behrmann | R. Zemel | M. Mozer | M. Behrmann
[1] Pierre Baldi,et al. Computing with Arrays of Coupled Oscillators: An Application to Preattentive Texture Discrimination , 1990, Neural Computation.
[2] Takeo Kanade,et al. Recovery of the Three-Dimensional Shape of an Object from a Single View , 1981, Artif. Intell..
[3] I. Biederman,et al. Dynamic binding in a neural network for shape recognition. , 1992, Psychological review.
[4] J J Hopfield,et al. Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[5] W. Singer,et al. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties , 1989, Nature.
[6] Adolfo Guzmán-Arenas,et al. Decomposition of a visual scene into three-dimensional bodies , 1968, AFIPS Fall Joint Computing Conference.
[7] Thomas O. Binford,et al. Segmentation and aggregation: an approach to figure-ground phenomena , 1987 .
[8] I. Rock,et al. The legacy of Gestalt psychology. , 1990, Scientific American.
[9] Joachim M. Buhmann,et al. Computing with Arrays of Coupled Oscillators , 1990 .
[10] Carsten Peterson,et al. Rotor Neurons: Basic Formalism and Dynamics , 1992, Neural Computation.
[11] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[12] Pineda,et al. Generalization of back-propagation to recurrent neural networks. , 1987, Physical review letters.
[13] A. Treisman. Perceptual grouping and attention in visual search for features and for objects. , 1982, Journal of experimental psychology. Human perception and performance.
[14] Bernardo A. Huberman,et al. Binding Hierarchies: A Basis for Dynamic Perceptual Grouping , 1992, Neural Computation.
[15] G. W. Strong,et al. A solution to the tag-assignment problem for neural networks , 1989, Behavioral and Brain Sciences.
[16] I. Rock,et al. Perceptual organization and attention , 1992, Cognitive Psychology.
[17] Edward M. Riseman,et al. Token-based extraction of straight lines , 1989, IEEE Trans. Syst. Man Cybern..
[18] Geoffrey E. Hinton. A Parallel Computation that Assigns Canonical Object-Based Frames of Reference , 1981, IJCAI.
[19] David S. Touretzky,et al. Advances in neural information processing systems 2 , 1989 .
[20] Reinhard Eckhorn,et al. Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex , 1990, Neural Computation.
[21] Luís B. Almeida,et al. A learning rule for asynchronous perceptrons with feedback in a combinatorial environment , 1990 .
[22] James L. McClelland,et al. Computational approaches to cognition: top-down approaches , 1993, Current Opinion in Neurobiology.
[23] Stephen Grossberg,et al. Synchronized oscillations during cooperative feature linking in a cortical model of visual perception , 1991, Neural Networks.
[24] J. Duncan. Selective attention and the organization of visual information. , 1984, Journal of experimental psychology. General.
[25] G Tononi,et al. Modeling perceptual grouping and figure-ground segregation by means of active reentrant connections. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[26] Allen R. Hanson,et al. Computer Vision Systems , 1978 .
[27] Christoph von der Malsburg,et al. The Correlation Theory of Brain Function , 1994 .
[28] David G. Lowe,et al. Perceptual Organization and Visual Recognition , 2012 .
[29] Philip Holmes,et al. Collective Oscillations in the Visual Cortex , 1989, NIPS.
[30] Rakesh Mohan,et al. Book review: PERCEPTUAL ORGANIZATION AND VISUAL RECOGNITION by David G. Lowe (Kluwer Academic Publishers) , 1987, SGAR.
[31] David L. Waltz,et al. Generating Semantic Descriptions From Drawings of Scenes With Shadows , 1972 .