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TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations

, , and . Advances in Neural Information Processing Systems 2, San Francisco, CA: Morgan Kaufmann, (1990)

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Adaptive Elastic Models for Hand-Printed Character Recognition, , and . Advances in Neural Information Processing Systems 4, Morgan Kaufmann, San Francisco, CA, (1992)Optimal Perceptual Inference, and . Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (1983)Boltzmann Machines: Constraint Satisfaction Networks That Learn, , and . CMU-CS-84-119. Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, (1984)Learning Translation Invariant Recognition in a Massively Parallel Network. PARLE: Parallel Architectures and Languages Europe. Lecture Notes in Computer Science, Springer, Berlin; New York, (1987)Hierarchical Non-linear Factor Analysis and Topographic Maps, and . Advances in Neural Information Processing Systems 10, Cambridge, MA: MIT Press, (1998)A Time-Delay Neural Network Architecture for Isolated Word Recognition, , and . Neural Networks, (1990)Using Generative Models for Handwritten Digit Recognition., , and . IEEE Trans. Pattern Anal. Mach. Intell., 18 (6): 592-606 (1996)On Contrastive Divergence Learning., and . AISTATS, Society for Artificial Intelligence and Statistics, (2005)Learning Population Codes by Minimizing Description Length., and . Neural Comput., 7 (3): 549-564 (1995)Deep, Narrow Sigmoid Belief Networks Are Universal Approximators., and . Neural Comput., 20 (11): 2629-2636 (2008)