Picture: A Probabilistic Programming Language for Scene Perception

Recent progress on probabilistic modeling and statistical learning, coupled with the availability of large training datasets, has led to remarkable progress in computer vision. Generative probabilistic models, or "analysis-by-synthesis" approaches, can capture rich scene structure but have...

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Bibliographic Details
Main Authors: Kulkarni, Tejas Dattatraya (Contributor), Tenenbaum, Joshua B. (Contributor), Mansinghka, Vikash K. (Contributor), Kohli, Pushmeet (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2015-04-15T15:37:50Z.
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