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SIGIR
2009
ACM
15 years 9 months ago
An improved markov random field model for supporting verbose queries
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Matthew Lease
SOCC
2008
IEEE
124views Education» more  SOCC 2008»
15 years 9 months ago
Energy minimization using a greedy randomized heuristic for the voltage assignment problem in NoC
— Scaling down the voltage levels of the processing elements (PEs) in a Network-on-Chip (NoC) can significantly reduce the computation energy consumption with an overhead of the...
Pavel Ghosh, Arunabha Sen
ISM
2005
IEEE
74views Multimedia» more  ISM 2005»
15 years 8 months ago
Striping Delay-sensitive Packets over Multiple Burst-loss Channels with Random Delays
Multi-homed mobile devices have multiple wireless communication interfaces, each connecting to the Internet via a long range but low speed and bursty WAN link such as a cellular l...
Gene Cheung, Puneet Sharma, Sung-Ju Lee
VLSM
2005
Springer
15 years 8 months ago
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
We present a computationally efficient segmentationrestoration method, based on a probabilistic formulation, for the joint estimation of the label map (segmentation) and the para...
Mariano Rivera, Omar Ocegueda, José L. Marr...
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
15 years 7 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong