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» Parameterized Complexity and Approximation Algorithms
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CVPR
2003
IEEE
16 years 5 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
CVPR
2005
IEEE
16 years 5 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
ICC
2007
IEEE
165views Communications» more  ICC 2007»
15 years 9 months ago
Capacity Analysis of MIMO System Over Identically Independent Distributed Weibull Fading Channels
— The capacity of multiple input multiple output (MIMO) system over wireless channels has been investigated analytically and by simulation over different types of wireless fading...
Ibrahim Y. Abualhaol, Mustafa M. Matalgah
WINE
2009
Springer
147views Economy» more  WINE 2009»
15 years 7 months ago
Computational Aspects of Multimarket Price Wars
We consider the complexity of decision making with regards to predatory pricing in multimarket oligopoly models. Specifically, we present multimarket extensions of the classical s...
Nithum Thain, Adrian Vetta
ICASSP
2011
IEEE
14 years 7 months ago
Scalable robust hypothesis tests using graphical models
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
Divyanshu Vats, Vishal Monga, Umamahesh Srinivas, ...