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» Ontological Framework for Approximation
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98
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TSMC
2008
146views more  TSMC 2008»
15 years 18 days ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
100
Voted
TSP
2008
150views more  TSP 2008»
15 years 18 days ago
Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks
This study examines the problem of target detection by a wireless sensor network. Sensors acquire measurements emitted from the target that are corrupted by noise and initially ma...
Natallia Katenka, Elizaveta Levina, George Michail...
106
Voted
TVCG
2008
144views more  TVCG 2008»
15 years 18 days ago
Silhouette Smoothing for Real-Time Rendering of Mesh Surfaces
Coarse piecewise linear approximation of surfaces causes undesirable polygonal appearance of silhouettes. We present an efficient method for smoothing the silhouettes of coarse tri...
Lu Wang, Changhe Tu, Wenping Wang, Xiangxu Meng, B...
115
Voted
ANOR
2004
68views more  ANOR 2004»
15 years 17 days ago
Multilevel Refinement for Combinatorial Optimisation Problems
We consider the multilevel paradigm and its potential to aid the solution of combinatorial optimisation problems. The multilevel paradigm is a simple one, which at its most basic ...
Chris Walshaw
86
Voted
CGF
2000
110views more  CGF 2000»
15 years 16 days ago
Directional Discretized Occluders for Accelerated Occlusion Culling
We present a technique for accelerating the rendering of high depth-complexity scenes. In a preprocessing stage, we approximate the input model with a hierarchical data structure ...
Fausto Bernardini, James T. Klosowski, Jihad El-Sa...