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» Solving Sparse Linear Constraints
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CP
2008
Springer
15 years 3 days ago
Solving a Telecommunications Feature Subscription Configuration Problem
Abstract. Call control features (e.g., call-divert, voice-mail) are primitive options to which users can subscribe off-line to personalise their service. The configuration of a fea...
David Lesaint, Deepak Mehta, Barry O'Sullivan, Lui...
TSP
2010
14 years 5 months ago
MIMO transceiver optimization with linear constraints on transmitted signal covariance components
Abstract--This correspondence revisits the joint transceiver optimization problem for multiple-input multiple-output (MIMO) channels. The linear transceiver as well as the transcei...
Ching-Chih Weng, P. P. Vaidyanathan
DAC
2010
ACM
14 years 11 months ago
An efficient dual algorithm for vectorless power grid verification under linear current constraints
Vectorless power grid verification makes it possible to evaluate worst-case voltage drops without enumerating possible current waveforms. Under linear current constraints, the vec...
Xuanxing Xiong, Jia Wang
ICASSP
2011
IEEE
14 years 2 months ago
Bounded gradient projection methods for sparse signal recovery
The 2- 1 sparse signal minimization problem can be solved efficiently by gradient projection. In many applications, the signal to be estimated is known to lie in some range of va...
James Hernandez, Zachary T. Harmany, Daniel Thomps...
CVPR
2009
IEEE
1696views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Fast Normalized Cut with Linear Constraints
Normalized Cut is a widely used technique for solving a variety of problems. Although finding the optimal normalized cut has proven to be NP-hard, spectral relaxations can be ap...
Linli Xu (University of Alberta), Wenye Li (Univer...