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ICCV
1995
IEEE
13 years 9 months ago
Alignment by Maximization of Mutual Information
A new information-theoretic approach is presented for finding the pose of an object in an image. The technique does not require information about the surface properties of the ob...
Paul A. Viola, William M. Wells III
BIBE
2007
IEEE
128views Bioinformatics» more  BIBE 2007»
14 years 3 days ago
QOMA2: Optimizing the alignment of many sequences
Abstract—We consider the problem of aligning multiple protein sequences with the goal of maximizing the SP (Sum-of-Pairs) score, when the number of sequences is large. The QOMA (...
Xu Zhang, Tamer Kahveci
ICCV
2009
IEEE
14 years 10 months ago
Recognizing Actions by Shape-Motion Prototype Trees
A prototype-based approach is introduced for action recognition. The approach represents an action as a se- quence of prototypes for efficient and flexible action match- ing in ...
Zhe Lin, Zhuolin Jiang, Larry S. Davis
ATAL
2011
Springer
12 years 5 months ago
Maximum causal entropy correlated equilibria for Markov games
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey
ICVS
1999
Springer
13 years 10 months ago
Action Reaction Learning: Automatic Visual Analysis and Synthesis of Interactive Behaviour
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
Tony Jebara, Alex Pentland