—The Multicanonical Monte Carlo (MMC) technique is a new form of adaptive importance sampling (IS). Thanks to its blind adaptation algorithm, it does not require an in-depth syst...
Alberto Bononi, Leslie A. Rusch, Amirhossein Ghazi...
Random Noise and Random Walk algorithms are local search strategies that have been used for the problem of satisfiability testing (SAT). We present a Markov-chain based analysis o...
Bhaskar Krishnamachari, Xi Xie, Bart Selman, Steph...
Present approaches to human face detection have made several assumptions that restrict their ability to be extended to general imaging conditions. We identify that the key factori...
Existing approaches on reliability assessment of the system have limitations such as performance entirely depends on expertise, knowledge of system analysts and computation of usa...
We introduce a framework for advanced behavioral animation in virtual humans, which addresses the challenging open problem of simulating social interactions between pedestrians in...