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» Polynomial Conditional Random Fields for Signal Processing
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ICASSP
2011
IEEE
12 years 11 months ago
Polynomial expansion detector for uniform linear arrays
In this paper, we design a low complexity linear MMSE decoder to recover the signal transmitted by M mobile users to a base station equipped with N receiving antennas, arranged as...
Antonia Maria Masucci, Øyvind Ryan, M&eacut...
ICASSP
2009
IEEE
14 years 2 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
SIAMIS
2010
102views more  SIAMIS 2010»
13 years 2 months ago
Cross Correlation and Deconvolution of Noise Signals in Randomly Layered Media
It is known that cross correlation of waves generated by noise sources, propagating in an unknown medium, and recorded by a sensor array, can provide information about the medium. ...
Josselin Garnier, Knut Sølna
ICASSP
2011
IEEE
12 years 11 months ago
Powerful extensions to CRFS for grapheme to phoneme conversion
Conditional Random Fields (CRFs) have proven to perform well on natural language processing tasks like name transliteration, concept tagging or grapheme-to-phoneme (g2p) conversio...
Stefan Hahn, Patrick Lehnen, Hermann Ney
ICASSP
2008
IEEE
14 years 2 months ago
Optical flow robust estimation in a hybrid multi-resolution MRF framework
We propose in this paper a robust multi-resolution technique to estimate dense velocity field from image sequences. It couples a Gaussian pyramidal down-sampling decomposition to...
Cyril Cassisa, Véronique Prinet, Liang Shao...