In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Boolean Satisfiability is probably the most studied of combinatorial optimization/search problems. Significant effort has been devoted to trying to provide practical solutions to ...
Matthew W. Moskewicz, Conor F. Madigan, Ying Zhao,...
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ) and (1 + 2) Evolution-Strategies (ESs) with the aim of designing f...
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ)and (1 + 2)-Evolution-Strategies (ESs) with the aim of designing fa...
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...