A Bayesian Generative Model for Learning Semantic Hierarchies

A Bayesian Generative Model for Learning Semantic Hierarchies

Building fine-grained visual recognition systems that are capable of recognizing tens of thousands of categories, has received much attention in recent years. The well known semantic hierarchical structure of categories and concepts, has been shown to provide a key prior which allows for optimal pre...

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Bibliographic Details
Main Authors: Roni eMittelman, Min eSun, Benjamin eKuipers, Silvio eSavarese
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-05-01
Series:Frontiers in Psychology
Subjects:
semantics
Bayesian inference
bayesian models of cognition
Nonparametric Bayes
hierarchical clustering
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00417/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00417/full

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