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SIAMIS
2011
14 years 7 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
IJDMBC
2010
115views more  IJDMBC 2010»
14 years 7 months ago
Near Optimum Power Control and Precoding under Fairness Constraints in Network MIMO Systems
Abstract--We consider the problem of setting the uplink signalto-noise-and-interference (SINR) target and allocating transmit powers for mobile stations in multicell spatial multip...
Gábor Fodor, Mikael Johansson, Pablo Soldat...
SIAMSC
2010
104views more  SIAMSC 2010»
14 years 7 months ago
BDDC Preconditioners for Spectral Element Discretizations of Almost Incompressible Elasticity in Three Dimensions
Abstract. BDDC algorithms are constructed and analyzed for the system of almost incompressible elasticity discretized with Gauss-Lobatto-Legendre spectral elements in three dimensi...
Luca F. Pavarino, Olof B. Widlund, Stefano Zampini
121
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TNN
2010
148views Management» more  TNN 2010»
14 years 7 months ago
A fast algorithm for robust mixtures in the presence of measurement errors
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
Jianyong Sun, Ata Kabán
TON
2010
115views more  TON 2010»
14 years 7 months ago
Feedback-Based Scheduling for Load-Balanced Two-Stage Switches
Abstract--A framework for designing feedback-based scheduling algorithms is proposed for elegantly solving the notorious packet missequencing problem of a load-balanced switch. Unl...
Bing Hu, Kwan L. Yeung