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STOC
2000
ACM
112views Algorithms» more  STOC 2000»
13 years 12 months ago
A random graph model for massive graphs
We propose a random graph model which is a special case of sparse random graphs with given degree sequences. This model involves only a small number of parameters, called logsize ...
William Aiello, Fan R. K. Chung, Linyuan Lu
IPPS
2005
IEEE
14 years 1 months ago
An Experimental Study of Parallel Biconnected Components Algorithms on Symmetric Multiprocessors (SMPs)
We present an experimental study of parallel biconnected components algorithms employing several fundamental parallel primitives, e.g., prefix sum, list ranking, sorting, connect...
Guojing Cong, David A. Bader
AAAI
2007
13 years 10 months ago
Graph Partitioning Based on Link Distributions
Existing graph partitioning approaches are mainly based on optimizing edge cuts and do not take the distribution of edge weights (link distribution) into consideration. In this pa...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
PAMI
2007
202views more  PAMI 2007»
13 years 7 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ALT
2011
Springer
12 years 7 months ago
On Noise-Tolerant Learning of Sparse Parities and Related Problems
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
Elena Grigorescu, Lev Reyzin, Santosh Vempala