This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
: This paper presents a genetic algorithm based approach for algebraic optimization of behavioral system specifications. We introduce a chromosomal representation of data-flow gr...
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
We describe an aircraft design problem in high dimensional space, with D typically being 10 to 30. In some respects this is a classic optimization problem, where the goal is to fi...
Clifford A. Shaffer, Duane L. Knill, Layne T. Wats...
Designing a testable circuit is often a two step process. First, the circuit is designed to conform to the functional specifications. Then, the testability aspects are added. By t...