A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
The eikonal equation and variants of it are of significant interest for problems in computer vision and image processing. It is the basis for continuous versions of mathematical m...
Kaleem Siddiqi, Sylvain Bouix, Allen Tannenbaum, S...
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
Information is valuable to users when it is available not only at the right time but also at the right place. To support efficient location-based data access in wireless data broad...
Baihua Zheng, Wang-Chien Lee, Ken C. K. Lee, Dik L...