In modern clustering environments where the memory hierarchy has many layers (distributed memory, shared memory layer, cache, ¡ ¢ ), an important question is how to fully u...
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
This paper introduces a novel algorithm to approximate the matrix with minimum nuclear norm among all matrices obeying a set of convex constraints. This problem may be understood a...
Moore’s Law suggests that the number of processing cores on a single chip increases exponentially. The future performance increases will be mainly extracted from thread-level par...
Nan Yuan, Yongbin Zhou, Guangming Tan, Junchao Zha...