In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of i...
Sangnam Nam, Michael E. Davies, Michael Elad, R&ea...
In this paper, we consider the problem of unsupervised morphological analysis from a new angle. Past work has endeavored to design unsupervised learning methods which explicitly o...
Image texture analysis has received a considerable amount of attention over the last few years as it forms the basis of most object recognition methods. It has been suggested by a...
In this note we introduce a new methodology that combines tools from social language processing and network analysis to identify socially situated relationships between individual...
Andrew J. Scholand, Yla R. Tausczik, James W. Penn...
Dividing the heap memory of programs into regions is the starting point of region-based memory management. In our existing work of enabling region-based memory management for Merc...