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....
Scratchpads have been widely proposed as an alternative to caches for embedded systems. Advantages of scratchpads include reduced energy consumption in comparison to a cache and a...
—This paper presents an auxiliary model based stochastic gradient parameter estimation algorithm for multiinput output-error systems by minimizing a quadratic cost function. The ...
We consider the problem of providing network access to hosts whose physical location changes with time. Such hosts cannot depend on traditional forms of network connectivity and r...
John Ioannidis, Dan Duchamp, Gerald Q. Maguire Jr.
This paper addresses the problem of scatternet formation for singlehop Bluetooth based ad hoc networks, with minimal communication overhead. We adopt the well-known structure de B...
Wen-Zhan Song, Xiang-Yang Li, Yu Wang 0003, Weizha...