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PAMI
2007
202views more  PAMI 2007»
15 years 1 days 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
130
Voted
COLING
2010
14 years 7 months ago
Simultaneous Ranking and Clustering of Sentences: A Reinforcement Approach to Multi-Document Summarization
Multi-document summarization aims to produce a concise summary that contains salient information from a set of source documents. In this field, sentence ranking has hitherto been ...
Xiaoyan Cai, Wenjie Li, Ouyang You, Hong Yan
132
Voted
AUSAI
2009
Springer
15 years 7 months ago
A Graph Distance Based Structural Clustering Approach for Networks
In the era of information explosion, structured data emerge on a large scale. As a description of structured data, network has drawn attention of researchers in many subjects. Netw...
Xin Su, Chunping Li
85
Voted
IJON
2010
94views more  IJON 2010»
14 years 11 months ago
Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach
This paper proposes an organized generalization of Newman and Girvan’s modularity measure for graph clustering. Optimized via a deterministic annealing scheme, this measure prod...
Fabrice Rossi, Nathalie Villa-Vialaneix
113
Voted
IPMI
2009
Springer
15 years 5 months ago
Dense Registration with Deformation Priors
Abstract. In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method ...
Ben Glocker, Nikos Komodakis, Nassir Navab, Georgi...