Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
In this paper we present an automatic method for calibrating a network of cameras from only silhouettes. This is particularly useful for shape-from-silhouette or visual-hull syste...
Sudipta N. Sinha, Marc Pollefeys, Leonard McMillan
This paper introduces the concept of eigen-dynamics and proposes an eigen dynamics analysis (EDA) method to learn the dynamics of natural hand motion from labelled sets of motion ...
We are designing scalable dynamic information flow tracking techniques and employing them to carry out tasks related to debugging (bug location and fault avoidance), security (so...
Rajiv Gupta, Neelam Gupta, Xiangyu Zhang, Dennis J...
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...