Active learning has been successfully applied to many natural language processing tasks for obtaining annotated data in a cost-effective manner. We propose several extensions to an...
A new Bayesian model is proposed, integrating dictionary learning and topic modeling into a unified framework. The model is applied to cluster multiple images, and a subset of th...
Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Cari...
A framework for the logical and statistical analysis and annotation of dynamic scenes containing occlusion and other uncertainties is presented. This framework consists of three e...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...
Haskell’s popularity has driven the need for ever more expressive type system features, most of which threaten the decidability and practicality of Damas-Milner type inference. ...
Simon L. Peyton Jones, Dimitrios Vytiniotis, Steph...
A software framework for the parallel execution of sequential programs using C++ classes is presented. The functional language Concurrent ML is used to implement the underlying ha...