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» Convexity, Duality and Effects
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ECCV
2010
Springer
13 years 9 months ago
Fast Optimization for Mixture Prior Models
Abstract. We consider the minimization of a smooth convex function regularized by the mixture of prior models. This problem is generally difficult to solve even each simpler regula...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
ICASSP
2010
IEEE
13 years 8 months ago
Enhancing sparsity in linear prediction of speech by iteratively reweighted 1-norm minimization
Linear prediction of speech based on 1-norm minimization has already proved to be an interesting alternative to 2-norm minimization. In particular, choosing the 1-norm as a convex...
Daniele Giacobello, Mads Græsbøll Chr...
ICASSP
2011
IEEE
12 years 11 months ago
Stochastic optimization based on the Laplace transform order with applications to precoder designs
Stochastic optimization arising from precoding in a multi-antenna fading channel with channel mean feedback to maximize data rates is important but challenging. The use of relayin...
Minhua Ding, Keith Q. T. Zhang
GLOBECOM
2008
IEEE
14 years 2 months ago
Global Optimal Routing, Scheduling and Power Control for Multi-Hop Wireless Networks with Interference
—We consider the problem of joint routing, scheduling and power control in multi-hop wireless networks. We use a linear relation between link capacity and signal to interference ...
Javad Kazemitabar, Vahid Tabatabaee, Hamid Jafarkh...
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 8 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun