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ICASSP
2008
IEEE
16 years 1 months ago
Robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop an improved approach to the worstcase robust adaptive beamforming for general-rank signal models by means of taking into account the positive semi-defin...
Haihua Chen, Alex B. Gershman
CP
2005
Springer
16 years 5 days ago
Domain Reduction for the Circuit Constraint
Abstract. We present an incomplete filtering algorithm for the circuit constraint. The filter removes redundant values by eliminating nonHamiltonian edges from the associated gra...
Latife Genç Kaya, John N. Hooker
LOPSTR
2009
Springer
15 years 11 months ago
Towards a Framework for Constraint-Based Test Case Generation
In this paper, we propose an approach for automated test case generation based on techniques from constraint programming (CP). We advocate the use of standard CP search strategies ...
François Degrave, Tom Schrijvers, Wim Vanho...
ICASSP
2011
IEEE
14 years 10 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
OL
2011
217views Neural Networks» more  OL 2011»
15 years 1 months ago
Privacy-preserving linear programming
Abstract. We propose a privacy-preserving formulation of a linear program whose constraint matrix is partitioned into groups of columns where each group of columns and its correspo...
O. L. Mangasarian