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JMLR
2010
145views more  JMLR 2010»
14 years 12 months ago
Parallelizable Sampling of Markov Random Fields
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...
James Martens, Ilya Sutskever
TIT
2010
129views Education» more  TIT 2010»
14 years 11 months ago
Random access in wireless networks with overlapping cells
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...
TWC
2010
14 years 11 months ago
Random access transport capacity
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...
ICASSP
2011
IEEE
14 years 8 months ago
Superpixel-based object class segmentation using conditional random fields
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...
Xi Li, Hichem Sahbi
CORR
2012
Springer
272views Education» more  CORR 2012»
14 years 24 days ago
Fast and Exact Top-k Search for Random Walk with Restart
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...
Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuk...