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» Computational models of classical conditioning
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FLAIRS
2004
13 years 10 months ago
Computing Marginals with Hierarchical Acyclic Hypergraphs
How to compute marginals efficiently is one of major concerned problems in probabilistic reasoning systems. Traditional graphical models do not preserve all conditional independen...
S. K. Michael Wong, Tao Lin
CVPR
2009
IEEE
15 years 3 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
14 years 8 months ago
Estimating the confidence of conditional functional dependencies
Conditional functional dependencies (CFDs) have recently been proposed as extensions of classical functional dependencies that apply to a certain subset of the relation, as specif...
Graham Cormode, Lukasz Golab, Flip Korn, Andrew Mc...
DIS
2009
Springer
14 years 3 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
CVPR
2009
IEEE
15 years 3 months ago
Enhanced Pictorial Structures for Precise Eye Localization under Uncontrolled Conditions
In this paper, we present an enhanced Pictorial Struc- ture (PS) model for precise eye localization, a fundamen- tal problem involved in many face processing tasks. PS is a comp...
Xiaoyang Tan (Nanjing University of Aeronautics an...