Probabilistic Principles in Unsupervised Learning of Visual Structure: Human Data and a Model

• Main Authors: Edelman, Shimon, Hiles, Benjamin P., YANG, Hwajin, Intrator, Nathan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2001
• Subjects: Learning; modeling; visual struction; structural information; brain; Cognition and Perception
• Online Access: https://ink.library.smu.edu.sg/soss_research/444; https://ink.library.smu.edu.sg/context/soss_research/article/1443/viewcontent/YangHwajinNIPS2002Prob_AFV.pdf
• Institution: Singapore Management University

To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images with tight control exerted over (1) the conditional probabilities of the constituent fragments, and (2) the value of Barlow&...