In this paper, we first present a survey of existing color buffer compression algorithms. After that, we introduce a new scheme based on an exactly reversible color transform, si...
Jim Rasmusson, Jon Hasselgren, Tomas Akenine-M&oum...
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
This paper addresses the problem of locating a single source from noisy range measurements in wireless sensor networks. An approximate solution to the maximum likelihood location ...
We consider the problem of extracting the source signals from an under-determined convolutive mixture assuming known mixing filters. State-of-the-art methods operate in the time-fr...
One knowledge discovery problem in the rapid response setting is the cost of learning which patterns are indicative of a threat. This typically involves a detailed follow-through,...
Peter Frazier, Warren B. Powell, Savas Dayanik, Pa...