Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
for reasoning about abstract models of protocols. The work on informal methods attempts to discern common patterns in the extensive record of flawed protocols, and to formulate po...
One of the problems with notification appliances is that they can be distracting when providing information not of immediate interest to the user. In this paper, we present AuraOr...
Mark Altosaar, Roel Vertegaal, Changuk Sohn, Danie...
We propose a real-time method for rendering rigid objects with complex view-dependent effects under distant all-frequency lighting. Existing precomputed light transport approaches...
Paul Green, Jan Kautz, Wojciech Matusik, Fré...