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» Self-improving Algorithms for Convex Hulls
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COMPGEOM
2005
ACM
14 years 11 months ago
Kinetic sorting and kinetic convex hulls
Let S be a set of n points moving on the real line. The kinetic sorting problem is to maintain a data structure on the set S that makes it possible to quickly generate a sorted li...
Mohammad Ali Abam, Mark de Berg
95
Voted
PR
2007
126views more  PR 2007»
14 years 9 months ago
Convex hull based skew estimation
Skew estimation and page segmentation are the two closely related processing stages for document image analysis. Skew estimation needs proper page segmentation, especially for doc...
Bo Yuan, Chew Lim Tan
COLT
2005
Springer
15 years 3 months ago
Learning Convex Combinations of Continuously Parameterized Basic Kernels
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
COLT
2010
Springer
14 years 7 months ago
Hedging Structured Concepts
We develop an online algorithm called Component Hedge for learning structured concept classes when the loss of a structured concept sums over its components. Example classes inclu...
Wouter M. Koolen, Manfred K. Warmuth, Jyrki Kivine...
COMPGEOM
1996
ACM
15 years 1 months ago
Developing a Practical Projection-Based Parallel Delaunay Algorithm
In this paper we are concerned with developing a practical parallel algorithm for Delaunay triangulation that works well on general distributions, particularly those that arise in...
Guy E. Blelloch, Gary L. Miller, Dafna Talmor