: This paper describes ASF, a novel cell-level analog synthesis framework that can size and bias a given circuit topology subject to a set of performance objectives and a manufactu...
Michael Krasnicki, Rodney Phelps, James R. Hellums...
The fast growth of multimedia information in image and video databases has triggered research on efficient retrieval methods. This paper deals with structural queries, a type of c...
Triggering errors in concurrent programs is a notoriously difficult task. A key reason for this is the behavioral complexity resulting from the large number of interleavings of op...
In this paper we propose a general framework for local pathplanning and steering that can be easily extended to perform highlevel behaviors. Our framework is based on the concept ...
Mubbasir Kapadia, Shawn Singh, William Hewlett, Pe...
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...