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» Parameterized Complexity and Approximation Algorithms
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97
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CORR
2006
Springer
153views Education» more  CORR 2006»
14 years 10 months ago
A distributed approximation algorithm for the minimum degree minimum weight spanning trees
Fischer proposes in [4] a sequential algorithm to compute a minimum weight spanning tree of maximum degree at most b + logb n in time O n4+1/ln b for any constant b > 1, where ...
Christian Lavault, Mario Valencia-Pabon
99
Voted
ATAL
2010
Springer
14 years 11 months ago
Incentive analysis of approximately efficient allocation algorithms
We present a series of results providing evidence that the incentive problem with VCG-based mechanisms is not very severe. Our first result uses average-case analysis to show that ...
Yevgeniy Vorobeychik, Yagil Engel
75
Voted
CORR
2010
Springer
92views Education» more  CORR 2010»
14 years 7 months ago
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre
APPML
2007
92views more  APPML 2007»
14 years 10 months ago
Topological grammars for data approximation
A method of topological grammars is proposed for multidimensional data approximation. For data with complex topology we define a principal cubic complex of low dimension and give...
Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zi...
106
Voted
IJCV
2000
230views more  IJCV 2000»
14 years 10 months ago
Design and Use of Linear Models for Image Motion Analysis
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
David J. Fleet, Michael J. Black, Yaser Yacoob, Al...