— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
—Vector field visualization techniques have evolved very rapidly over the last two decades, however, visualizing vector fields on complex boundary surfaces from computational ...
Zhenmin Peng, Edward Grundy, Robert S. Laramee, Gu...
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
In this paper, we describe a set of compiler analyses and an implementation that automatically map a sequential and un-annotated C program into a pipelined implementation, targete...
We present an omnidirectional 3D acquisition system based on a mobile array of high-resolution consumer digital SLR cameras that automatically capture high dynamic range stereo pa...
Jiajun Zhu, Greg Humphreys, David Koller, Skip Ste...