We describe a simple improvement to ngram language models where we estimate the distribution over closed-class (function) words separately from the conditional distribution of ope...
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Graph theory has been used to characterize the solvability of the sensor network localization problem. If sensors correspond to vertices and edges correspond to sensor pairs betwee...
Brian D. O. Anderson, Iman Shames, Guoqiang Mao, B...
Aspect-oriented programming (AOP) fosters the coding of tangled concerns in separated units that are then woven together in the executable system. Unfortunately, the oblivious nat...
Abstract. Embedded systems are special purpose systems which perform predefined tasks with very specific requirements like high performance, low volume or low power. Most of the ...