We propose a novel method, called heterogeneous clustering ensemble (HCE), to generate robust clustering results that combine multiple partitions (clusters) derived from various cl...
Hye-Sung Yoon, Sang-Ho Lee, Sung-Bum Cho, Ju Han K...
Clusters provide an outstanding cost/performance ratio, but their efficient orchestration, i.e. their cooperative management, maintenance, and use, still poses difficulties. Mor...
—A commodity personal computer (PC) can be seen as a hybrid computing system equipped with two different kinds of processors, i.e. CPU and a graphics processing unit (GPU). Since...
—We propose an approach for improving object recognition and localization using spatial kernels together with instance embedding. Our approach treats each image as a bag of insta...
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...