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168
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TIP
2002
116views more  TIP 2002»
15 years 3 months ago
Adaptive approximate nearest neighbor search for fractal image compression
Fractal image encoding is a computationally intensive method of compression due to its need to find the best match between image sub-blocks by repeatedly searching a large virtual...
Chong Sze Tong, Man Wong
214
Voted
EVOW
2009
Springer
15 years 1 months ago
An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems
In recent years, optimization in dynamic environments has attracted a growing interest from the genetic algorithm community due to the importance and practicability in real world a...
Lili Liu, Dingwei Wang, Shengxiang Yang
145
Voted
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
15 years 1 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
CVPR
2011
IEEE
15 years 1 months ago
Distributed Message Passing for Large Scale Graphical Models
In this paper we propose a distributed message-passing algorithm for inference in large scale graphical models. Our method can handle large problems efficiently by distributing a...
Alexander Schwing, Hazan Tamir, Marc Pollefeys, Ra...
COR
2011
14 years 10 months ago
A hybrid shifting bottleneck-tabu search heuristic for the job shop total weighted tardiness problem
: In this paper, we study the job shop scheduling problem with the objective of minimizing the total weighted tardiness. We propose a hybrid shifting bottleneck - tabu search (SB-T...
Kerem Bülbül