Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Almost all of the modern computers use multiple cores, and the number of cores is expected to increase as hardware prices go down, and Moore's law fails to hold. Most of the ...
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, ...
The lack of standards for Romanization of Thai proper names makes searching activity a challenging task. This is particularly important when searching for people-related documents ...