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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2015
Highly Cited
2015
Curriculum learning (CL) or self-paced learning (SPL) represents a recently proposed learning regime inspired by the learning… Expand
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2014
2014
The theory behind compressive sampling pre-supposes that a given sequence of observations may be exactly represented by a linear… Expand
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2011
2011
The receptivity and interaction of stationary and traveling crossflow instability of three-dimensional supersonic boundary layers… Expand
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Highly Cited
2008
Highly Cited
2008
The paper addresses the computation of pressure fields from velocimetry data, such as provided by Particle Image Velocimetry (PIV… Expand
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2006
2006
Vertebrae of Suuwassea demonstrate an interest- ing combination of plesiomorphies and autapomorphies among known members of the… Expand
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Highly Cited
2005
Highly Cited
2005
Abstract This paper shows that Lyapunov-based state feedback controller synthesis for piecewise-affine (PWA) slab systems can be… Expand
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2004
2004
On the basis of floral and vegetative morphology, 63 tropical American genera have been recognized within Maxillarieae. We were… Expand
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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… Expand
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