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CVPR
2011
IEEE
14 years 10 months ago
Distributed Computer Vision Algorithms Through Distributed Averaging
Traditional computer vision and machine learning algorithms have been largely studied in a centralized setting, where all the processing is performed at a single central location....
Roberto Tron, René, Vidal
CORR
2011
Springer
173views Education» more  CORR 2011»
14 years 9 months ago
Probability Based Clustering for Document and User Properties
Information Retrieval systems can be improved by exploiting context information such as user and document features. This article presents a model based on overlapping probabilistic...
Thomas Mandl, Christa Womser-Hacker
COLING
2010
14 years 9 months ago
Kernel Slicing: Scalable Online Training with Conjunctive Features
This paper proposes an efficient online method that trains a classifier with many conjunctive features. We employ kernel computation called kernel slicing, which explicitly consid...
Naoki Yoshinaga, Masaru Kitsuregawa
SIAMCOMP
2011
14 years 9 months ago
Self-Improving Algorithms
We investigate ways in which an algorithm can improve its expected performance by fine-tuning itself automatically with respect to an arbitrary, unknown input distribution. We gi...
Nir Ailon, Bernard Chazelle, Kenneth L. Clarkson, ...
JMLR
2010
101views more  JMLR 2010»
14 years 9 months ago
Classification Using Geometric Level Sets
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
Kush R. Varshney, Alan S. Willsky