Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
In this paper two areas of soft computing (fuzzy modeling and artificial neural networks) are discussed. Based on the fundamental mathematical similarity of fuzzy technique and ra...
We present an improvement of the SAT-based Unbounded Model Checking (UMC) algorithm. UMC, a symbolic approach introduced in [7], uses propositional formulas in conjunctive normal ...
We propose a new sequential, adaptive, quadratic-time algorithm for variable-rate lossy compression of memoryless sources at a fixed distortion. The algorithm uses approximate pat...
Recently, cooperative communications, in the form of keeping each node with a single antenna and having a node exploit a relay node's antenna, is shown to be a promising appr...
Yi Shi, Sushant Sharma, Y. Thomas Hou, Sastry Komp...