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» Efficient Simulation-Based Discrete Optimization
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JAIR
2006
122views more  JAIR 2006»
13 years 8 months ago
Solving Factored MDPs with Hybrid State and Action Variables
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
Branislav Kveton, Milos Hauskrecht, Carlos Guestri...
ECCV
2010
Springer
13 years 10 months ago
Descriptor Learning for Efficient Retrieval
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...
ECCV
2008
Springer
14 years 10 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
AAAI
2006
13 years 10 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
TCAD
2002
72views more  TCAD 2002»
13 years 8 months ago
Wire width planning for interconnect performance optimization
Abstract--In this paper, we study wire width planning for interconnect performance optimization in an interconnect-centric design flow. We first propose some simplified, yet near-o...
Jason Cong, David Zhigang Pan