Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and ...
In this paper, we address the problem of real-time video streaming over a bandwidth and energy constrained wireless sensor network (WSN) from a small number of dispersed video-sen...
Min Chen, Victor C. M. Leung, Shiwen Mao, Yong Yua...
—We present Nswap2L, a fast backing storage system for general purpose clusters. Nswap2L implements a single device interface on top of multiple heterogeneous physical storage de...
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...