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» Blind Deconvolution Using the Relative Newton Method
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CDC
2009
IEEE
243views Control Systems» more  CDC 2009»
14 years 6 days ago
A distributed newton method for network optimization
— Most existing work uses dual decomposition and subgradient methods to solve network optimization problems in a distributed manner, which suffer from slow convergence rate prope...
Ali Jadbabaie, Asuman E. Ozdaglar, Michael Zargham
ECCV
2004
Springer
14 years 9 months ago
Variational Pairing of Image Segmentation and Blind Restoration
Abstract. Segmentation and blind restoration are both classical problems, that are known to be difficult and have attracted major research efforts. This paper shows that the two pr...
Leah Bar, Nir A. Sochen, Nahum Kiryati
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 2 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie
ICIP
2008
IEEE
14 years 9 months ago
Measuring the Global Phase Coherence of an image
The Fourier phase spectrum of an image is well known to contain crucial information about the image geometry, in particular its contours. In this paper, we show that it is also st...
Bernard Rougé, Gwendoline Blanchet, Lionel ...
BMCBI
2010
140views more  BMCBI 2010»
13 years 7 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng