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SCALESPACE
2001
Springer
13 years 10 months ago
Generic Multi-scale Segmentation and Curve Approximation Method
Abstract. We propose a new complete method to extract significant description(s) of planar curves according to constant curvature segments. This method is based (i) on a multi-sca...
Marielle Mokhtari, Robert Bergevin
COLOGNETWENTE
2008
13 years 7 months ago
A Simple 3-Approximation of Minimum Manhattan Networks
Given a set P of n points in the plane, a Manhattan network of P is a network that contains a rectilinear shortest path between every pair of points of P. A minimum Manhattan netw...
Bernhard Fuchs, Anna Schulze
APPROX
2009
Springer
195views Algorithms» more  APPROX 2009»
14 years 22 days ago
Approximating Node-Connectivity Augmentation Problems
The (undirected) Node Connectivity Augmentation (NCA) problem is: given a graph J = (V, EJ ) and connectivity requirements {r(u, v) : u, v ∈ V }, find a minimum size set I of n...
Zeev Nutov
SODA
2007
ACM
127views Algorithms» more  SODA 2007»
13 years 7 months ago
Line-of-sight networks
Random geometric graphs have been one of the fundamental models for reasoning about wireless networks: one places n points at random in a region of the plane (typically a square o...
Alan M. Frieze, Jon M. Kleinberg, R. Ravi, Warren ...
CVPR
2011
IEEE
13 years 2 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell