A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
Over the last decade, a dramatic increase has been observed in the need for generating and organising data in the course of large parameter studies, performance analysis, and soft...
Radu Prodan, Thomas Fahringer, Michael Geissler, G...
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
Abstract. An MPI library, called MPICH-PM/CLUMP, has been implemented on a cluster of SMPs. MPICH-PM/CLUMP realizes zero copy message passing between nodes while using one copy mes...
Toshiyuki Takahashi, Francis O'Carroll, Hiroshi Te...
Video servers are important for applicationswhich make use of digital video. The video servers should provide better functionality than most of today’s video servers offer, – ...