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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course takes a 'back to the beginning' view that aims to better understand the end result. What might be the developmental processes that lead to the organization of 'booming, buzzing confusions' into coherent visual objects? This course examines key experimental results and computational proposals pertinent to the discovery of objects
Author(s):
Tag(s):
- brain and cognitive sciences
- computational theories of human cognition
- principles of inductive learning and inference
- representation of knowledge
- computational frameworks
- bayesian models
- hierarchical bayesian models
- probabilistic graphical models
- nonparametric statistical models
- bayesian occam's razor
- sampling algorithms for approximate learning and inference
File: 9-675-spring-2006.zip
This OER is part of OCW: The Development of Object and Face Recognition
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Inherited Tag(s):
- brain and cognitive sciences
- computational theories of human cognition
- principles of inductive learning and inference
- representation of knowledge
- computational frameworks
- bayesian models
- hierarchical bayesian models
- probabilistic graphical models
- nonparametric statistical models
- bayesian occam's razor
- sampling algorithms for approximate learning and inference
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