We present a Bayesian framework for action recognition through ballistic dynamics. Psycho-kinesiological studies indicate that ballistic movements form the natural units for human...
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
We address how to write programs for distributed computing systems in which the network topology can change dynamically. Examples of such systems, which we call ensembles, include ...
Michael P. Ashley-Rollman, Peter Lee, Seth Copen G...
Recent advances in multi-user collaboration have seen a proliferation of interaction techniques for moving digital objects from one device to another. However, little is known abo...
Miguel A. Nacenta, Dzmitry Aliakseyeu, Sriram Subr...
We introduce the first exact and efficient algorithm for Guig?o et al.'s problem that, given a collection of rooted, binary gene trees and a rooted, binary species tree, deter...