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» On combinations of local theory extensions
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110
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ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 1 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
AAMAS
2000
Springer
15 years 1 months ago
Algorithms for Distributed Constraint Satisfaction: A Review
When multiple agents are in a shared environment, there usually exist constraints among the possible actions of these agents. A distributed constraint satisfaction problem (distrib...
Makoto Yokoo, Katsutoshi Hirayama
IAJIT
2010
150views more  IAJIT 2010»
15 years 11 days ago
Optimal DSP Based Integer Motion Estimation Implementation for H.264/AVC Baseline Encoder
: The coding gain of the H.264/AVC video encoder mainly comes from the new incorporated prediction tools. However, their enormous computation and ultrahigh memory bandwidth are the...
Imen Werda, Haithem Chaouch, Amine Samet, Mohamed ...
135
Voted
ICASSP
2010
IEEE
15 years 11 days ago
Real-time content adaptive contrast enhancement for see-through fog and rain
In this paper we present a novel algorithm for improving the visibility of surveillance videos degraded by fog and/or rain. The proposed algorithm adaptively enhances the global a...
Zhen Jia, Hongcheng Wang, Rodrigo Caballero, Ziyou...
CVPR
2010
IEEE
14 years 12 months ago
Adaptive pose priors for pictorial structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar