Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
Deryck F. Brown, A. Beatriz Garmendia-Doval, John ...
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
Genetical genomics has been established to study genetic variation of gene expression. It treats transcript expression as a quantitative trait and identifies putative regulatory l...
Jung Hoon Woo, Eunjee Lee, Sung-Bum Cho, Ju Han Ki...
This paper demonstrates the feasibility of a word-based genetic algorithm (GA) for solving short substitution cryptograms such as the kind found in newspapers and puzzle books. Al...
Generating manipulator trajectories considering multiple objectives and obstacle avoidance is a non trivial optimization problem. In this paper a multiobjective genetic algorithm i...