We use prior and boundary estimates as the approximation of outside probability and establish our beam thresholding strategies based on these estimates. Lexical items, e.g. head wo...
Determining the number of sources from observed dataisafundamentalprobleminmanyscientificfields.Inthispaper we consider the nonparametric setting, and focus on the detection perfor...
This paper presents the estimation methods computing the probabilities of how many times web pages are downloaded and modified, respectively, in the future crawls. The methods can ...
This paper presents a novel approach to single-frame pedestrian classification and orientation estimation. Unlike previous work which addressed classification and orientation sepa...
Classic methods for Bayesian inference effectively constrain search to lie within regions of significant probability of the temporal prior. This is efficient with an accurate dyna...
David Demirdjian, Leonid Taycher, Gregory Shakhnar...