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» Approximate algorithms for neural-Bayesian approaches
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WADS
2007
Springer
155views Algorithms» more  WADS 2007»
15 years 3 months ago
Constant Factor Approximations for the Hotlink Assignment Problem
An approach for reducing the navigation effort for the users of a web site is to enhance its hyperlink structure with additional hotlinks. We address the task of adding at most on...
Tobias Jacobs
CVPR
2004
IEEE
15 years 11 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
68
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ICIP
2001
IEEE
15 years 11 months ago
Robust estimation of depth and motion using stochastic approximation
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
Rama Chellappa, Amit K. Roy Chowdhury
UAI
2003
14 years 11 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen
CORR
2010
Springer
98views Education» more  CORR 2010»
14 years 9 months ago
Electrical Flows, Laplacian Systems, and Faster Approximation of Maximum Flow in Undirected Graphs
We introduce a new approach to computing an approximately maximum s-t flow in a capacitated, undirected graph. This flow is computed by solving a sequence of electrical flow probl...
Paul Christiano, Jonathan A. Kelner, Aleksander Ma...