We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
Users perceive varying levels of utility for each different job completed by the cluster. Therefore, there is a need for existing cluster Resource Management Systems (RMS) to prov...
Abstract—Multistage interconnection networks based on central switches are ubiquitous in high-performance computing. Applications and communication libraries typically make use o...
Several multithreading techniques have been proposed to reduce the resource underutilization in Very Long Instruction Word (VLIW) processors. Simultaneous MultiThreading (SMT) is ...
A neural network based clustering method for the analysis of soft handovers in 3G network is introduced. The method is highly visual and it could be utilized in explorative analys...