The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
We consider a fundamental problem in data structures, static predecessor searching: Given a subset S of size n from the universe [m], store S so that queries of the form “What i...
Recent developments in biomedical imaging are producing massive data sets containing structures, such as fine filaments, that are difficult to visualize. In this paper, we describ...
The use of nanometer technologies is making it increasingly important to consider transient characteristics of a circuit’s power dissipation (e.g., peak power, and power gradien...
—An adaptive multiple input and multiple output with the code matrix index feedback [8]. One detector will (MIMO) system based on the unified belief propagation (BP) work in the ...