Papers by Jacob Feldman
Please email me to get copies of papers that are not downloadable, including papers under review.
Perceptual organization and grouping:
- Harrison, S. and Feldman, J. (2009) The influence of shape and skeletal axis structure on texture perception. Journal of Vision, 9(6), 1–21.
- Harrison, S. and Feldman, J. (2009) Perceptual comparison of features within and between objects: a new look. Vision Research, 49(23), 2790–2799.
- Kim, S. and Feldman, J. (2009) Globally inconsistent figure/ground relations induced by a negative part. Journal of Vision, 9(10), 1–13.
- Feldman, J. (2007) Formation of visual “objects” in the early computation of spatial relations. Perception & Psychophysics, 69(5), 816-827.
- Feldman, J. and Tremoulet, P. (2006) Individuation of visual objects over time. Cognition, 99, 131–165.
- Feldman, J. (2003) What is a visual object? Trends in Cognitive Sciences, 7(6), 252-255.
- Feldman, J. (2003) Perceptual grouping by selection of a logically minimal model. International Journal of Computer Vision, 55(1), 5-25.
- Feldman, J. (2001) Bayesian contour integration. Perception & Psychophysics, 63(7), 1171-1182
- Scholl, B., Pylyshyn, Z. and Feldman, J. (2001) What is a visual object? Evidence from target merging in multiple-object tracking. Cognition, 80(1-2), 159-177.
- Vishwanath, D., Kowler, E., and Feldman, J. (2000) Saccadic localization of occluded targets. Vision Research, 40, 2797-2811.
- Feldman, J. (1997) Regularity-based perceptual grouping. Computational Intelligence, 13(4), 582-623.
- Feldman, J. (1999) The role of objects in perceptual grouping. Acta Psychologica, 102, 137-163.
- Feldman, J. (1997) Curvilinearity, covariance, and regularity in perceptual groups. Vision Research, 37(20), 2835-2848.
- Feldman, J. (1996) Regularity vs. genericity in the perception of collinearity. Perception, 25 335–342.
- Feldman, J. (1993) Perceptual models of small dot clusters. In I. Cox, P. Hansen, and B. Julesz (eds.), Partitioning Data Sets: DIMACS Series in Discrete Mathematics and Theoretical Computer Science, Vol. 19, American Mathematical Society Press.
Shape representation:
- Feldman, J. and Singh, M. (2006) Bayesian estimation of the shape skeleton. Proceedings of the National Academy of Sciences 103(47), 18014–18019.
- Barenholtz, E. and Feldman, J. (2006) Determination of visual figure and ground in dynamically deforming shapes. Cognition, 101(3), 530–544.
- Cohen, E. H., Barenholtz, E., Singh, M. and Feldman, J. (2005) What change detection tells us about the visual representation of shape. Journal of Vision, 5(4), 313-321.
- Barenholtz, E., Cohen, E., Feldman, J. and Singh, M. (2003) Detection of change in shape: an advantage for concavities. Cognition, 89(1), 1-9.
- Feldman, J. and Singh, M. (2005) Information along curves and closed contours. Psychological Review, 112(1), 243-252.
- Barenholtz, E. and Feldman, J. (2003) Perceptual comparisons within and between object parts: evidence for a single-part superiority effect. Vision Research, 43(15), 1655-1666.
- Feldman, J. (2000) Bias toward regular form in mental shape spaces. Journal of Experimental Psychology: Human Perception and Performance, 26(1), 1-14.
- Feldman, J. & Richards, W. A. (1998) Mapping the mental space of rectangles. Perception, 27, 1191-1202.
Categorization and concept learning:
- Mathy, F. and Feldman, J. (2009). A rule-based presentation order facilitates category learning. Psychonomic Bulletin & Review, 16(6), 1050–1057.
- Goodman, N. D., Tenenbaum, J. B., Feldman, J. and Griffiths, T. L. (2008). A rational analysis of rule-based concept learning. Cognitive Science, 32(1), 108–154.
- Aitkin, C. D. and Feldman, J. (2006) Subjective complexity of categories defined over three-valued features. Proceedings of the 28th Annual Conference of the Cognitive Science Society.
- Briscoe, E. and Feldman, J. (2006) Conceptual complexity and the bias-variance tradeoff. Proceedings of the 28th Annual Conference of the Cognitive Science Society.
- Feldman, J. (2006) An algebra of human concept learning. Journal of Mathematical Psychology, 50, 339–368.
- Feldman, J. (2004) How surprising is a simple pattern? Quantifying "Eureka!" Cognition, 93, 199-224.
- Feldman, J. (2003) The simplicity principle in human concept learning. Current Directions in Psychological Science, 12(6), 227-232.
- Feldman, J. (in press) Simplicity and complexity in human concept learning. 2002 George Miller Award Address, The General Psychologist.
- Feldman, J. (2003) A catalog of Boolean concepts. Journal of Mathematical Psychology, 47(1), 98-112.
- Fass, D. and Feldman, J. (2002) Categorization under complexity: a unified MDL account of human learning of regular and irregular categories. Advances in Neural Information Processing Systems.
- Feldman, J. (2000) Minimization of Boolean complexity in human concept learning. Nature, 407, 630-633.
- Feldman, J. (1997) The structure of perceptual categories. Journal of Mathematical Psychology, 41, 145-170.
- Feldman, J. (1995) Formal constraints on cognitive interpretations of causal structure. Proceedings of the I.E.E.E. Workshop on Architectures for Semiotic Modeling and Situation Analysis, Monterey, CA.
Perception of animacy from motion:
Foundations of perception:
- Feldman, J. (2009) Bayes and the simplicity principle in perception. Psychological Review, 116(4), 875–887.
- Feldman, J. (1999) Does vision work? Towards a semantics of perception. In E. Lepore and Z. Pylyshyn (Eds.) What is Cognitive Science? Basil Blackwell, 208-229.
- Richards, W. Jepson, A. & Feldman, J. (1996) Priors, preferences, and categorical percepts. In D. Knill & W. Richards (eds.) Perception as Bayesian Inference, Cambridge University Press.
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