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07/10/2014
Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems
Recent advances in optimization theory have shown that smooth strongly c...
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07/10/2014
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
A key problem in statistics and machine learning is the determination of...
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10/17/2009
Faster Algorithms for Max-Product Message-Passing
Maximum A Posteriori inference in graphical models is often solved via m...
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09/21/2008
Robust Near-Isometric Matching via Structured Learning of Graphical Models
Models for near-rigid shape matching are typically based on distance-rel...
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06/17/2008
Learning Graph Matching
As a fundamental problem in pattern recognition, graph matching has appl...
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10/01/2007
High-Order Nonparametric Belief-Propagation for Fast Image Inpainting
In this paper, we use belief-propagation techniques to develop fast algo...
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09/29/2007