The relative tolerances for interconnect and device parameter variations have not scaled with feature sizes which have brought about significant performance variability. As we sca...
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
Abstract. Adaptive Hypermedia content offers personalization; however, (re)using such material with regular Learning Management Systems (LMS) is not yet straightforward. Ideally, m...
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...