Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
This paper deals with a new approach to build a completely distributed and decentralized Intrusion Detection and Response System (IDRS) in computer networks. This approach is call...
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Programmers build large-scale systems with multiple languages to reuse legacy code and leverage languages best suited to their problems. For instance, the same program may use Jav...
Byeongcheol Lee, Martin Hirzel, Robert Grimm, Kath...
A key step in distributed video coding is the generation of the side information (SI) i.e. the estimation of the Wyner-Ziv frame (WZF). This step is also frequently called image i...