In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
We consider the problem of clustering data lying on multiple subspaces of unknown and possibly different dimensions. We show that one can represent the subspaces with a set of pol...
Providing QoS (Quality of Service) in batch resources against the uncertainty of resource availability due to the space-sharing nature of scheduling policies is a critical capabil...
Yang-Suk Kee, Carl Kesselman, Daniel Nurmi, Richar...
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
Clusters of Symmetric MultiProcessing (SMP) nodes with multi-core Chip-Multiprocessors (CMP), also known as SMP-CMP clusters, are becoming ubiquitous today. For Message Passing int...