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» Learning How to Propagate Using Random Probing
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ECCV
2008
Springer
14 years 9 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
NOMS
2006
IEEE
169views Communications» more  NOMS 2006»
14 years 1 months ago
Real-Time Measurement of End-to-End Available Bandwidth using Kalman Filtering
—This paper presents a new method, BART (Bandwidth Available in Real-Time), for estimating the end-toend available bandwidth over a network path. It estimates bandwidth quasi-con...
Svante Ekelin, Martin Nilsson, Erik Hartikainen, A...
MMAS
2010
Springer
13 years 2 months ago
Source Localization in Random Acoustic Waveguides
Mode coupling due to scattering by weak random inhomogeneities in waveguides leads to loss of coherence of wave fields at long distances of propagation. This in turn leads to serio...
Liliana Borcea, Leila Issa, Chrysoula Tsogka
CVPR
2010
IEEE
13 years 8 months ago
Label propagation in video sequences
This paper proposes a probabilistic graphical model for the problem of propagating labels in video sequences, also termed the label propagation problem. Given a limited amount of ...
Vijay Badrinarayanan, Fabio Galasso, Roberto Cipol...
ICPR
2008
IEEE
14 years 2 months ago
Clustering by evidence accumulation on affinity propagation
If there are more clusters than the ideal, each intrinsic cluster will be split into several subsets. Theoretically, this split can be arbitrary and neighboring data points have a ...
Xuqing Zhang, Fei Wu, Yueting Zhuang