In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
The memory consistency model supported by a multiprocessor architecture determines the amount of buffering and pipelining that may be used to hide or reduce the latency of memory ...
Kourosh Gharachorloo, Anoop Gupta, John L. Henness...
We present an efficient and robust method of locating a set of feature points in an object of interest. From a training set we construct a joint model of the appearance of each fe...
In this paper, we propose a prior for hand pose estimation that integrates the direct relation between a manipulating hand and a 3d object. This is of particular interest for a va...
Abstract— In this paper, we propose asynchronous non-orthogonal communication between distributed sensors and a data fusion center via asynchronous direct-sequence code-division ...
Justin S. Dyer, Balasubramaniam Natarajan, Sudharm...