In software visualization and algorithm animation it is important that advances in system technologies are accompanied by corresponding advances in animation presentations. In thi...
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Loop fusion and loop shifting are well recognized loop transformations for memory requirement reduction. Stateof-the-art optimizations with loop fusion and shifting are based on h...
This paper presents an algorithm for solving a number of generalized graph coloring problems. Specifically, it gives an agent-based algorithm for the Bandwidth Coloring problem. U...