Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...
Shared Memory is an interesting communication paradigm for SMP machines and clusters. Weak consistency models have been proposed to improve efficiency of shared memory applications...
An effective means for building Internet-scale distributed applications, and in particular those involving group-based information sharing, is to deploy peer-to-peer overlay netwo...
Sarunas Girdzijauskas, Gregory Chockler, Ymir Vigf...