In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
As distributed real-time applications gain in popularity, a key challenge is to allocate resources so that diverse realtime requirements (including non-real-time applications), di...
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
Steven Jensen, Daniel Boley, Maria L. Gini, Paul R...
Explanations are a technique for reasoning about constraint propagation, which have been applied in many learning, backjumping and user-interaction algorithms for constraint progra...
The advances of video technology and video-related applications demand appropriate video semantic models for representing video data and their semantics, and supporting powerful s...