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» On the set multi-cover problem in geometric settings
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IPMI
2007
Springer
14 years 9 months ago
Shape Modeling and Analysis with Entropy-Based Particle Systems
This paper presents a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization....
Joshua E. Cates, P. Thomas Fletcher, Martin Andrea...
ICML
2004
IEEE
14 years 9 months ago
Learning large margin classifiers locally and globally
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann
APPROX
2004
Springer
113views Algorithms» more  APPROX 2004»
14 years 2 months ago
Computationally-Feasible Truthful Auctions for Convex Bundles
In many economic settings, convex figures on the plane are for sale. For example, one might want to sell advertising space on a newspaper page. Selfish agents must be motivated ...
Moshe Babaioff, Liad Blumrosen
KDD
2010
ACM
195views Data Mining» more  KDD 2010»
14 years 27 days ago
Universal multi-dimensional scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...