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JACIII
2006
97views more  JACIII 2006»
14 years 11 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
IJDMB
2010
128views more  IJDMB 2010»
14 years 9 months ago
Computing approximate solutions of the protein structure determination problem using global constraints on discrete crystal latt
: Crystal lattices are discrete models of the three-dimensional space that have been effectively employed to facilitate the task of determining proteins' natural conformation....
Alessandro Dal Palù, Agostino Dovier, Enric...
ICPR
2008
IEEE
15 years 6 months ago
An approximate algorithm for median graph computation using graph embedding
Graphs are powerful data structures that have many attractive properties for object representation. However, some basic operations are difficult to define and implement, for ins...
Miquel Ferrer, Ernest Valveny, Francesc Serratosa,...
EMO
2009
Springer
140views Optimization» more  EMO 2009»
15 years 4 months ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...
TOG
2002
212views more  TOG 2002»
14 years 11 months ago
Least squares conformal maps for automatic texture atlas generation
A Texture Atlas is an efficient color representation for 3D Paint Systems. The model to be textured is decomposed into charts homeomorphic to discs, each chart is parameterized, a...
Bruno Lévy, Sylvain Petitjean, Nicolas Ray,...