Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
We study cellular-like wireless networks in which the cells may overlap substantially, and a common channel is used for all cells. Thus, transmissions intended for one destination ...
Gam D. Nguyen, Jeffrey E. Wieselthier, Anthony Eph...
Abstract--We develop a new metric for quantifying end-toend throughput in multihop wireless networks, which we term random access transport capacity, since the interference model p...
Jeffrey G. Andrews, Steven Weber, Marios Kountouri...
Object class segmentation (OCS) is a key issue in semantic scene labeling and understanding. Its general principle consists of naming object entities into scenes according to thei...
Graphs are fundamental data structures and have been employed for centuries to model real-world systems and phenomena. Random walk with restart (RWR) provides a good proximity sco...