We present a novel and effective method for modeling a developable surface to simulate paper bending in interactive and animation applications. The method exploits the representat...
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
We describe an automated method to generating models of an autonomic system. Specifically, we generate UML state diagrams for a set of interacting objects, including the extensio...
Heather Goldsby, Betty H. C. Cheng, Philip K. McKi...
This paper studies the problem of modeling complex domains of actions and change within highlevel action description languages. We investigate two main issues of concern: (a) can ...