Jacob Feldman
Professor Dept. of Psychology |
Research Interests:
Computational models and empirical studies of human visual perception and concept learning, including perceptual organization, grouping, and shape.
Selected recent papers:
Selected older papers:
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Pantelis, P. C., Baker, C., Cholewiak, S., Sanik, K., Weinstein, A., Wu, C.-C., Tenenbaum, J. B. and Feldman, J. (2014) Inferring the intentional states of autonomous virtual agents. Cognition, 130, 360–379.
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Feldman, J. (2012) Symbolic representation of probabilistic worlds. Cognition, 123, 61–83.
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Feldman, J. and Singh, M. (2006) Bayesian estimation of the shape skeleton. PNAS, 103(47), 18014–18019. Shape toolbox software
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Feldman, J. (2000) Minimization of Boolean complexity in human concept learning. Nature, 407, 630–633.