We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Attention to aspect oriented programming (AOP) is rapidly growing as its benefits in large software system development and maintenance are increasingly recognized. However, existin...
Installing various hooks into the victim system is an important attacking strategy employed by malware, including spyware, rootkits, stealth backdoors, and others. In order to def...
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...