Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...
We address the connection between the multiple-description (MD) problem and Delta-Sigma quantization. The inherent redundancy due to oversampling in Delta-Sigma quantization, and ...
Shadow maps are commonly used in real-time rendering, but they cannot be filtered linearly like standard color, resulting in severe aliasing. Variance shadow maps resolve this pro...
This paper explores the concept of early discard for interactive search of unindexed data. Processing data inside storage devices using downloaded searchlet code enables Diamond t...
Larry Huston, Rahul Sukthankar, Rajiv Wickremesing...