PDF-Visual Concept Learning Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia Joshua Abbott Joseph Austerweil Thomas Grifths Trevor Darrell UC Berkeley EECS Dep
abbott tom griffiths trevor berkeleyedu joseph austerweilbrownedu Abstract Learning a visual concept from a small number of positive examples is a signif icant challenge
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