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EMMCVPR
2007
Springer
14 years 4 months ago
Bayesian Inference for Layer Representation with Mixed Markov Random Field
Abstract. This paper presents a Bayesian inference algorithm for image layer representation [26], 2.1D sketch [6], with mixed Markov random field. 2.1D sketch is an very important...
Ru-Xin Gao, Tianfu Wu, Song Chun Zhu, Nong Sang
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
14 years 4 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
ICPP
2006
IEEE
14 years 4 months ago
Parallel Algorithms for Evaluating Centrality Indices in Real-world Networks
This paper discusses fast parallel algorithms for evaluating several centrality indices frequently used in complex network analysis. These algorithms have been optimized to exploi...
David A. Bader, Kamesh Madduri
IWCMC
2006
ACM
14 years 4 months ago
Modeling key agreement in multi-hop ad hoc networks
Securing multicast communications in ad hoc networks has become one of the most challenging research directions in the areas of wireless networking and security. This is especiall...
Giovanni Di Crescenzo, Maria Striki, John S. Baras
MOBICOM
2006
ACM
14 years 4 months ago
Enabling distributed throughput maximization in wireless mesh networks: a partitioning approach
This paper considers the interaction between channel assignment and distributed scheduling in multi-channel multiradio Wireless Mesh Networks (WMNs). Recently, a number of distrib...
Andrew Brzezinski, Gil Zussman, Eytan Modiano