Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
— Simulation tools are popular in the design and study of communication systems and networks. The implementation of analytic distributed simulations commonly require a central en...
In this study, we investigate self-organizing social hierarchies in multi-agent systems. Agents occupy the nodes of a smallworld network and interact exclusively with other agents...
We introduce a new interpretation of multiscale random fields (MSRFs) that admits efficient optimization in the framework of regular (single level) random fields (RFs). It is base...
Longin Jan Latecki, ChengEn Lu, Marc Sobel, Xiang ...
Consider a text string of length n, a pattern string of length m, and a match vector of length n which declares each location in the text to be either a mismatch (the pattern does ...