We present a theoretical framework and practical method for the automatic construction of simple, all-quadrilateral patch layouts on manifold surfaces. The resulting layouts are c...
This paper develops a methodology for analyzing and predicting the impact category of malicious code, particularly email worms. The current paper develops two frameworks to classi...
Insu Park, Raj Sharman, H. Raghav Rao, Shambhu J. ...
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
We describe a faithful embedding of the Dolev-Yao model of Backes, Pfitzmann, and Waidner (CCS 2003) in the theorem prover Isabelle/HOL. This model is cryptographically sound in ...
Christoph Sprenger, Michael Backes, David A. Basin...
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...