Biconvex optimization

Known as: Biconvex 
Biconvex optimization is a generalization of convex optimization where the objective function and the constraint set can be biconvex. There are… (More)
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Papers overview

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2018
2018
Consensus maximization is one of the most widely used robust fitting paradigms in computer vision, and the development of… (More)
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2016
2016
References [1] Wang, P., Shen, C., van den Hengel, A., A fast semidefinite approach to solving binary quadratic problems. CVPR… (More)
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Highly Cited
2015
Highly Cited
2015
The design of high-precision sensing devises becomes ever more difficult and expensive. At the same time, the need for precise… (More)
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2015
2015
Articles you may be interested in Electrically driven, narrow-linewidth blackbody emission from carbon nanotube microcavity… (More)
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2013
2013
The wealth of information present in the World Wide Web has made internet search a de-facto medium for obtaining any required… (More)
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2013
2013
This thesis is divided into two parts. Both cope with multi-class image segmentation and utilize non-smooth optimization… (More)
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Review
2007
Review
2007
The problem of optimizing a biconvex function over a given (bi)convex or compact set frequently occurs in theory as well as in… (More)
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Highly Cited
2005
Highly Cited
2005
This paper shows that Lyapunov-based state feedback controller synthesis for piecewise-affine (PWA) slab systems can be cast as… (More)
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2002
2002
The concept of micro confocal imaging array is proposed and a stacked two-dimensional microlens scanner has been developed. The… (More)
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Highly Cited
1983
Highly Cited
1983
This paper presents a branch-and-bound algorithm for minimizing the sum of a convex function in x, a convex function in y and a… (More)
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