With the shrinking of transistors continuing to follow Moore's Law and the non-scalability of conventional outof-order processors, multi-core systems are becoming the design ...
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Integration of Web search with geographic information has recently attracted much attention. There are a number of local Web search systems enabling users to find locationspecific...
DRAM is facing severe scalability challenges in sub-45nm technology nodes due to precise charge placement and sensing hurdles in deep-submicron geometries. Resistive memories, suc...
Engin Ipek, Jeremy Condit, Edmund B. Nightingale, ...
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...