Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
As the process technology enters the nanometer era, reliability has become a major concern in the design and manufacturing of VLSI circuits. In this paper we focus on one reliabil...
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
—This paper presents a high-performance parallel context-based adaptive length coding (CAVLC) encoder implemented on a fine-grained many-core system. The software encoder is desi...
This paper introduces capabilities developed for a Battery-Sensing Intrusion Protection System (B-SIPS) for mobile computers, which alerts when abnormal current changes are detect...
Timothy Buennemeyer, Theresa M. Nelson, Lee M. Cla...