In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
— This work addresses the problem of building representative subsets of benchmarks from an original large set of benchmarks, using statistical analysis techniques. The subsets sh...
Vassilios N. Christopoulos, David J. Lilja, Paul R...
We have developed a novel framework for medical image analysis, known as Shells and Spheres. This framework utilizes spherical operators of variable radius centered at each image ...
Aaron Cois, Ken J. Rockot, John M. Galeotti, Rober...
In this work, we present a genetic algorithm based automated circuit synthesis framework for passive analog circuits. A procedure is developed for the simultaneous generation of b...
: In a canonical genetic algorithm, the reproduction operators (crossover and mutation) are random in nature. The direction of the search carried out by the GA system is driven pur...