— The new theory of compressive sensing enables direct analog-to-information conversion of compressible signals at subNyquist acquisition rates. We develop new theory, algorithms...
Jason N. Laska, Sami Kirolos, Marco F. Duarte, Tam...
In this paper, we present a new pseudo-random sequence generator, constructed by the generalized discrete Baker transformation. This new generator is called Cascaded Baker Register...
Word clustering is a conventional and important NLP task, and the literature has suggested two kinds of approaches to this problem. One is based on the distributional similarity a...
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
As diagnostic testing for memory devices increasingly gains in importance, companies are looking for flexible, cost effective methods to perform diagnostics on their failing devi...