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CVPR
2007
IEEE
16 years 1 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
ICC
2007
IEEE
142views Communications» more  ICC 2007»
15 years 6 months ago
Turbo Codes Based Image Transmission for Channels with Both Random Errors and Packet Loss
Abstract— In this paper, we propose an unequal error protection (UEP) framework for progressive image transmission over wireless networks with both random errors and packet loss....
Lei Yao, Lei Cao
CORR
2007
Springer
117views Education» more  CORR 2007»
14 years 12 months ago
Sensor Networks with Random Links: Topology Design for Distributed Consensus
—In a sensor network, in practice, the communication among sensors is subject to: 1) errors that can cause failures of links among sensors at random times; 2) costs; and 3) const...
Soummya Kar, José M. F. Moura
JCO
1998
136views more  JCO 1998»
14 years 11 months ago
A Greedy Randomized Adaptive Search Procedure for the Feedback Vertex Set Problem
Abstract. A Greedy Randomized Adaptive Search Procedure (GRASP) is a randomized heuristic that has produced high quality solutions for a wide range of combinatorial optimization pr...
Panos M. Pardalos, Tianbing Qian, Mauricio G. C. R...
INFOCOM
2010
IEEE
14 years 10 months ago
Joint Random Access and Power Selection for Maximal Throughput in Wireless Networks
—In wireless networks, how to select transmit power that maximizes throughput is a challenging problem. On one hand, transmissions at a high power level could increase interferen...
Yan Gao, Zheng Zeng, P. R. Kumar