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» Combined image signal processing for CMOS image sensors
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DSMML
2004
Springer
15 years 5 months ago
Transformations of Gaussian Process Priors
Abstract. Gaussian process prior systems generally consist of noisy measurements of samples of the putatively Gaussian process of interest, where the samples serve to constrain the...
Roderick Murray-Smith, Barak A. Pearlmutter
HVEI
2010
15 years 1 months ago
Isolating human brain functional connectivity associated with a specific cognitive process
The use of functional magnetic resonance imaging (fMRI) to measure functional connectivity among brain areas has the potential to identify neural networks associated with particul...
Michael A. Silver, Ayelet N. Landau, Thomas Z. Lau...
CORR
2010
Springer
210views Education» more  CORR 2010»
14 years 12 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
ICIP
1999
IEEE
16 years 1 months ago
Statistical Multiplexing and Quality of Service Control of VBR Mpeg Video Sources
In this paper efficient modeling of VBR MPEG coded video sources is proposed by appropriately combining properties of frame and GOP layer signals. In particular, a Markov chain is...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
83
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ISBI
2008
IEEE
15 years 6 months ago
Theoretical analysis of complex-conjugate-ambiguity suppression in frequency-domain optical-coherence tomography
New phase-shifting techniques have recently been proposed to suppress the complex-conjugate ambiguity in frequencydomain optical-coherence tomography. A phase shift is introduced,...
S. Chandra Sekhar, Roland Michaely, Rainer A. Leit...