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Vision / Imaging / Bayesian statistics / Object recognition / Segmentation / Maximum likelihood / Finitary relation / Bayesian network / One-shot learning / Computer vision / Image processing / Statistics


A Hierarchical Field Framework for Unified Context-Based Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, hebert}@ri.cmu.edu Abstract
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Document Date: 2010-06-01 18:50:20


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City

Building / Unified Context / /

Company

Neural Information Processing Systems / BAE Systems / /

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Facility

Martial Hebert The Robotics Institute / Carnegie Mellon University / /

IndustryTerm

car using context / car detection / belief networks / contextual car detection / image labeling applications / ith site / object road surface building vegetation car road marking / local search / street object road surface building vegetation car road / /

MarketIndex

set 75 / /

NaturalFeature

Others Beach / /

Organization

Carnegie Mellon University Pittsburgh / Robotics Institute / CIE Lab / /

Person

Sanjiv Kumar / /

Position

D. J. / Prime Minister / /

Technology

2.8 GHz Pentium class processor / /

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