Many image processing applications require fast convolution of an image with a set of large 2D filters. Field - Programmable Gate Arrays (FPGAs) are often used to achieve this go...
Christos-Savvas Bouganis, Peter Y. K. Cheung, Geor...
Manual parallelization of programs is known to be difficult and error-prone, and there are currently few ways to measure the amount of potential parallelism in the original sequent...
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
In this work, we present an algorithm for simultaneous template generation and matching. The algorithm profiles the graph and iteratively contracts edges to create the templates. ...
Ryan Kastner, Seda Ogrenci Memik, Elaheh Bozorgzad...
Real-time performance of adaptive digital signal processing algorithms is required in many applications but it often means a high computational load for many conventional processor...