Scientific visualization applications are very dataintensive, with high demands for I/O and data management. Developers of many visualization tools hesitate to use traditional DBM...
Xiaosong Ma, Marianne Winslett, John Norris, Xiang...
We present a framework for rapidly exploring the design space of low power application-specific programmable processors (ASPP), in particular mediaprocessors. We focus on a catego...
Johnson Kin, Chunho Lee, William H. Mangione-Smith...
In this paper we propose a general framework for local pathplanning and steering that can be easily extended to perform highlevel behaviors. Our framework is based on the concept ...
Mubbasir Kapadia, Shawn Singh, William Hewlett, Pe...
Abstract ⎯ Currently, the most advanced framework for stochastic network calculus is the min-plus algebra, providing bounds for the end-to-end delay in networks. The bounds calcu...
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...