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WIOPT
2010
IEEE
14 years 7 months ago
Optimizing power allocation in interference channels using D.C. programming
Abstract--Power allocation is a promising approach for optimizing the performance of mobile radio systems in interference channels. In the present paper, the non-convex objective f...
Hussein Al-Shatri, Tobias Weber
CVPR
2010
IEEE
15 years 6 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
AINA
2009
IEEE
15 years 4 months ago
Evaluation and Optimization of the Registrar Redundancy Handling in Reliable Server Pooling Systems
Abstract—The Reliable Server Pooling (RSerPool) architecture is the IETF’s new standard for a lightweight server redundancy and session failover framework to support availabili...
Xing Zhou, Thomas Dreibholz, Fu Fa, Wencai Du, Erw...
JMLR
2008
209views more  JMLR 2008»
14 years 10 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
MTA
2006
169views more  MTA 2006»
14 years 10 months ago
MBC-based shape retrieval: basics, optimizations, and open problems
Shape of an object is an important feature for image and multimedia similarity retrievals. In our previous studies we introduced a new boundary-based technique (MBC-based) for shap...
Maytham Safar, Cyrus Shahabi