A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
We present a new popup widget, called CoR2Ds (Context-Rooted Rotatable Draggables), designed for multi-user direct-touch tabletop environments. CoR2Ds are interactive callout popu...
We present an interprocedural and compositional algorithm for finding pairs of compatible allocation sites, which have the property that no object allocated at one site is live at...
Ovidiu Gheorghioiu, Alexandru Salcianu, Martin C. ...