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» Approximations in Distributed Optimization
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UAI
2004
15 years 7 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
GRAPHICSINTERFACE
2000
15 years 7 months ago
Approximation of Glossy Reflection with Prefiltered Environment Maps
A method is presented that can render glossy reflections with arbitrary isotropic bidirectional reflectance distribution functions (BRDFs) at interactive rates using texture mappi...
Jan Kautz, Michael D. McCool
WADS
2007
Springer
195views Algorithms» more  WADS 2007»
16 years 18 days ago
Approximation Algorithms for the Sex-Equal Stable Marriage Problem
The stable marriage problem is a classical matching problem introduced by Gale and Shapley. It is known that for any instance, there exists a solution, and there is a polynomial ti...
Kazuo Iwama, Shuichi Miyazaki, Hiroki Yanagisawa
ISCAS
2006
IEEE
96views Hardware» more  ISCAS 2006»
16 years 15 days ago
Approximately linear-phase recursive digital filters with variable magnitude characteristics
Abstract— This paper considers designing in the minimax sense complementary low-pass/high-pass approximately linear-phase recursive filters with variable magnitude characteristi...
Juha Yli-Kaakinen, Tapio Saramäki
DAGM
2009
Springer
15 years 7 months ago
A Gradient Descent Approximation for Graph Cuts
Abstract. Graph cuts have become very popular in many areas of computer vision including segmentation, energy minimization, and 3D reconstruction. Their ability to find optimal res...
Alparslan Yildiz, Yusuf Sinan Akgul