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SIAMIS
2011
13 years 2 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
TIT
2011
149views more  TIT 2011»
13 years 2 months ago
Network Coding for Computing: Cut-Set Bounds
Abstract—The following network computing problem is considered. Source nodes in a directed acyclic network generate independent messages and a single receiver node computes a tar...
Rathinakumar Appuswamy, Massimo Franceschetti, Nik...
TKDE
2011
472views more  TKDE 2011»
13 years 2 months ago
Anonymous Publication of Sensitive Transactional Data
Abstract—Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as k-...
Gabriel Ghinita, Panos Kalnis, Yufei Tao
IJDMBC
2010
115views more  IJDMBC 2010»
13 years 2 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...
SIAMMAX
2010
116views more  SIAMMAX 2010»
13 years 2 months ago
Structured Total Maximum Likelihood: An Alternative to Structured Total Least Squares
Abstract. Linear inverse problems with uncertain measurement matrices appear in many different applications. One of the standard techniques for solving such problems is the total l...
Amir Beck, Yonina C. Eldar