We consider the problems of Byzantine Agreement and Leader Election, where a constant fraction b < 1/3 of processors are controlled by a malicious adversary. The first problem...
Valerie King, Jared Saia, Vishal Sanwalani, Erik V...
The acquisition of geometric information from realworld objects has become a major way of modeling complex scenes and environments. Unfortunately, most optical methods for geometr...
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...