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» On Clusterings - Good, Bad and Spectral
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COLT
2005
Springer
14 years 2 months ago
On Spectral Learning of Mixtures of Distributions
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
Dimitris Achlioptas, Frank McSherry
RECOMB
2006
Springer
14 years 8 months ago
Identification and Evaluation of Functional Modules in Gene Co-expression Networks
Abstract. Identifying gene functional modules is an important step towards elucidating gene functions at a global scale. In this paper, we introduce a simple method to construct ge...
Jianhua Ruan, Weixiong Zhang
CVPR
2005
IEEE
14 years 10 months ago
A Tensor Decomposition for Geometric Grouping and Segmentation
While spectral clustering has been applied successfully to problems in computer vision, their applicability is limited to pairwise similarity measures that form a probability matr...
Venu Madhav Govindu
CVPR
2010
IEEE
14 years 4 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
ICCAD
1996
IEEE
111views Hardware» more  ICCAD 1996»
14 years 19 days ago
Multi-level spectral hypergraph partitioning with arbitrary vertex sizes
This paper presents a new spectral partitioning formulation which directly incorporates vertex size information. The new formulation results in a generalized eigenvalue problem, a...
Jason Y. Zien, Martine D. F. Schlag, Pak K. Chan