Visual concept learning: Combining machine vision and Bayesian generalization on concept hierarchies

Advances in Neural Information Processing Systems

Volumn , Issue , 2013, Pages

  Jia, Yangqing ^a   Abbott, Joshua ^a   Austerweil, Joseph ^b   Griffiths, Thomas ^a   Darrell, Trevor ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTER VISION; IMAGE CLASSIFICATION; LEARNING ALGORITHMS;

BAYESIAN MODEL; COGNITIVE SCIENCE; CONCEPT HIERARCHIES; LARGE-SCALE DATASET; LEVEL OF ABSTRACTION; POSITIVE EXAMPLES; PROBABILISTIC PREDICTION; VISUAL CONCEPT LEARNING;

STATISTICAL TESTS;

EID: 84898938446     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

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