The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Sampling is a core process for a variety of graphics applications. Among existing sampling methods, blue noise sampling remains popular thanks to its spatial uniformity and absenc...
Visualizing graphs containing many nodes and edges efficiently is quite challenging. Drawings of such graphs generally suffer from visual clutter induced by the large amount of ed...
An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...
Abstract—We examine the implications of a new hazard-free combinational logic synthesis method [1], which generates multiplexor-based networks from binary decision diagrams (BDDs...
Kenneth Y. Yun, Bill Lin, David L. Dill, Srinivas ...