We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Frameworks are increasingly employed as a useful way to enable object-oriented reuse. However, their size and complexity make understanding how to use them difficult. Previous wor...
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
The sequential depth determines the completeness of bounded model checking in design verification. Recently, a SATbased method is proposed to compute the sequential depth of a de...
We analyze the regret, measured in terms of log loss, of the maximum likelihood (ML) sequential prediction strategy. This "follow the leader" strategy also defines one o...