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» An Approximation Algorithm for Approximation Rank
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83
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DEDS
2008
94views more  DEDS 2008»
15 years 17 days ago
Approximate Simulation Relations for Hybrid Systems
Abstract Approximate simulation relations have recently been introduced as a powerful tool for the approximation of discrete and continuous systems. In this paper, we his abstracti...
Antoine Girard, A. Agung Julius, George J. Pappas
132
Voted
BMCBI
2010
138views more  BMCBI 2010»
15 years 18 days ago
UFFizi: a generic platform for ranking informative features
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...
ICCV
2011
IEEE
14 years 15 days ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan
108
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SODA
2001
ACM
150views Algorithms» more  SODA 2001»
15 years 1 months ago
A faster implementation of the Goemans-Williamson clustering algorithm
We give an implementation of the Goemans-Williamson clustering procedure which is at the core of several approximation algorithms including those for Generalized Steiner Trees, Pr...
Richard Cole, Ramesh Hariharan, Moshe Lewenstein, ...
90
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APPROX
2006
Springer
107views Algorithms» more  APPROX 2006»
15 years 4 months ago
A Fast Random Sampling Algorithm for Sparsifying Matrices
We describe a simple random-sampling based procedure for producing sparse matrix approximations. Our procedure and analysis are extremely simple: the analysis uses nothing more th...
Sanjeev Arora, Elad Hazan, Satyen Kale