Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Despite many successful applications of robust statistics, they have yet to be completely adapted to many computer vision problems. Range reconstruction, particularly in unstructu...
We propose a framework for constructing secure systems at the architectural level. This framework is composed of an implementation-oriented formalization of a system’s architect...
Daniel Conte de Leon, Jim Alves-Foss, Paul W. Oman
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...
Large and complex computer based systems are the result of an evolution process which may take many years. Heterogeneity is an important characteristic of such systems: During the...