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» A Model Proposal of the Interoperability Problem
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96
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AAAI
2010
15 years 5 months ago
Utilizing Context in Generative Bayesian Models for Linked Corpus
In an interlinked corpus of documents, the context in which a citation appears provides extra information about the cited document. However, associating terms in the context to th...
Saurabh Kataria, Prasenjit Mitra, Sumit Bhatia
142
Voted
COLT
1997
Springer
15 years 7 months ago
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach
Abstract. We propose a convex optimization approach to solving the nonparametric regression estimation problem when the underlying regression function is Lipschitz continuous. This...
Dimitris Bertsimas, David Gamarnik, John N. Tsitsi...
142
Voted
CVPR
2010
IEEE
15 years 5 months ago
Modeling Pixel Process with Scale Invariant Local Patterns for Background Subtraction in Complex Scenes
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among many difficulties, problems caused by illuminatio...
Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matt...
158
Voted
ICCV
2011
IEEE
14 years 3 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang
120
Voted
ICML
2004
IEEE
16 years 4 months ago
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung