We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Tracking multiple interacting objects represents a challenging area in computer vision. The tracking problem in general can be formulated as the task of recovering the spatio-temp...
A statistical model for the purpose of logic cell timing analysis in the presence of process variations is presented. A new current-based cell delay model is utilized, which can a...
This paper proposes a D-algebra to compose decisions from multiple access control policies. Compared to other algebrabased approaches aimed at policy composition, D-algebra is the...
Web search is often viewed as a solitary task; however, there are many situations in which groups of people gather around a single computer to jointly search for information onlin...