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» High-Level Optimization via Automated Statistical Modeling
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ICC
2007
IEEE
14 years 2 months ago
Optimizing Linear Dispersion Codes for Wideband MIMO Systems
Abstract— We consider the problem of designing space-timefrequency linear dispersion (LD) codes in wideband multipleinput multiple-output (MIMO) antenna systems employing orthogo...
Luca Venturino, Narayan Prasad, Xiaodong Wang, Moh...
BMCBI
2007
91views more  BMCBI 2007»
13 years 7 months ago
A mass accuracy sensitive probability based scoring algorithm for database searching of tandem mass spectrometry data
Background: Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) has become one of the most used tools in mass spectrometry based proteomics. Various algorithms ...
Hua Xu, Michael A. Freitas
IPMI
2003
Springer
14 years 8 months ago
Evaluation of 3D Correspondence Methods for Model Building
Abstract. The correspondence problem is of high relevance in the construction and use of statistical models. Statistical models are used for a variety of medical application, e.g. ...
Martin Styner, Kumar T. Rajamani, Lutz-Peter Nolte...
ICASSP
2010
IEEE
13 years 7 months ago
A minimax approach to Bayesian estimation with partial knowledge of the observation model
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
Tomer Michaeli, Yonina C. Eldar
CVPR
2005
IEEE
14 years 9 months ago
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
We address the problem of regional color transfer between two natural images by probabilistic segmentation. We use a new Expectation-Maximization (EM) scheme to impose both spatia...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang