We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
— With the increasing demand for secure and high-quality communications in public access wireless IP networks, it is very important to have an in-depth understanding of the relat...
Abstract - Recent advances in multimedia network systems have led to the development of a new generation of applications that associate the use of various multimedia objects. The c...
Emerging memory technologies such as STT-RAM, PCRAM, and resistive RAM are being explored as potential replacements to existing on-chip caches or main memories for future multi-co...
Asit K. Mishra, Xiangyu Dong, Guangyu Sun, Yuan Xi...