The original rough-set model is primarily concerned with the approximations of sets described by a single equivalence relation on a given universe. With granular computing point of...
In this paper, we study speech enhancement in eigen-domain. In our previous work on audible noise reduction, we use masking properties of the human auditory system to define the ...
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Abstract. This paper describes the design and implementation of a practical parallel algorithm for Delaunay triangulation that works well on general distributions. Although there h...
Guy E. Blelloch, Jonathan C. Hardwick, Gary L. Mil...
Abstract: Schnorr's algorithm for finding an approximation for the shortest nonzero vector in an n-dimensional lattice depends on a parameter k. He proved that for a fixed k ...