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ECCV
2008
Springer
14 years 11 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
WIOPT
2010
IEEE
13 years 7 months ago
A multiobjective performance evaluation framework for routing in wireless ad hoc networks
—Wireless ad hoc networks are seldom characterized by one single performance metric, yet the current literature lacks a flexible framework to assist in characterizing the design...
Katia Jaffrès-Runser, Mary R. Schurgot, Cri...
AINA
2006
IEEE
13 years 11 months ago
Distributed Tuning Attempt Probability for Data Gathering in Random Access Wireless Sensor Networks
In this paper, we study the problem of data gathering in multi-hop wireless sensor networks. To tackle the high degree of channel contention and high probability of packet collisi...
Haibo Zhang, Hong Shen
ITNG
2006
IEEE
14 years 3 months ago
A Decentralized Network Coordinate System for Robust Internet Distance
Network distance, measured as round-trip latency between hosts, is important for the performance of many Internet applications. For example, nearest server selection and proximity...
Li-wei Lehman, Steven Lerman
JCB
2006
185views more  JCB 2006»
13 years 9 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...