We present an approach for the joint extraction of entities and relations in the context of opinion recognition and analysis. We identify two types of opinion-related entities -- ...
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
This paper presents an implemented system, called LEONARD, that classifies simple spatial motion events, such as pick up and put down, from video input. Unlike previous systems th...
We present the preliminary design for a C++ template library to enable the compositional construction of matrix classes suitable for high performance numerical linear algebra comp...
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...