Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
Content-based image retrieval methods based on the Euclidean metric expect the feature space to be isotropic. They suer from unequal dierential relevance of features in comput...
Commercial applications are an important, yet often overlooked, workload with significantly different characteristics from technical workloads. The potential impact of these diffe...
Kimberly Keeton, David A. Patterson, Yong Qiang He...
Life-likeanimatedinterfaceagentsforknowledge-basedlearning environments can provide timely, customized advice to support students’ problem solving. Because of their strong visua...
Stuart G. Towns, Jennifer L. Voerman, Charles B. C...
We consider the problem of estimating CPU (distance computations) and I/O costs for processing range and k-nearest neighbors queries over metric spaces. Unlike the specific case ...