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SIAMJO
2008
212views more  SIAMJO 2008»
13 years 7 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera
ICASSP
2009
IEEE
13 years 11 months ago
Design of robust superdirective beamformers as a convex optimization problem
Broadband data-independent beamforming designs aiming at constant beamwidth often lead to superdirective beamformers for low frequencies, if the sensor spacing is small relative t...
Edwin Mabande, Adrian Schad, Walter Kellermann
ICCV
2005
IEEE
14 years 1 months ago
Convex Grouping Combining Boundary and Region Information
Convexity is an important geometric property of many natural and man-made structures. Prior research has shown that it is imperative to many perceptual-organization and imageunder...
Joachim S. Stahl, Song Wang
ICPR
2008
IEEE
14 years 8 months ago
Image segmentation by convex quadratic programming
A quadratic programming formulation for multiclass image segmentation is investigated. It is proved that, in the convex case, the non-negativity constraint on the recent reported ...
Mariano Rivera, Oscar Dalmau Cedeño, Josue ...
CVPR
2007
IEEE
14 years 9 months ago
A Linear Programming Approach for Multiple Object Tracking
We propose a linear programming relaxation scheme for the class of multiple object tracking problems where the inter-object interaction metric is convex and the intraobject term q...
Hao Jiang, Sidney Fels, James J. Little