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» Approximation algorithms via contraction decomposition
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CORR
2008
Springer
92views Education» more  CORR 2008»
13 years 6 months ago
Nonnegative Matrix Factorization via Rank-One Downdate
Nonnegative matrix factorization (NMF) was popularized as a tool for data mining by Lee and Seung in 1999. NMF attempts to approximate a matrix with nonnegative entries by a produ...
Michael Biggs, Ali Ghodsi, Stephen A. Vavasis
STOC
2006
ACM
174views Algorithms» more  STOC 2006»
14 years 6 months ago
Edge-disjoint paths in Planar graphs with constant congestion
We study the maximum edge-disjoint paths problem in undirected planar graphs: given a graph G and node pairs s1t1, s2t2, . . ., sktk, the goal is to maximize the number of pairs t...
Chandra Chekuri, Sanjeev Khanna, F. Bruce Shepherd
ICASSP
2009
IEEE
14 years 1 months ago
Exploring functional connectivity in fMRI via clustering
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering...
Archana Venkataraman, Koene R. A. Van Dijk, Randy ...
COMPGEOM
2004
ACM
14 years 11 hour ago
Deformable spanners and applications
For a set S of points in Rd, an s-spanner is a graph on S such that any pair of points is connected via some path in the spanner whose total length is at most s times the Euclidea...
Jie Gao, Leonidas J. Guibas, An Nguyen
INFOCOM
2007
IEEE
14 years 27 days ago
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
Junshan Zhang, Dong Zheng, Mung Chiang