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CLEF
2009
Springer
13 years 8 months ago
MorphoNet: Exploring the Use of Community Structure for Unsupervised Morpheme Analysis
This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
Delphine Bernhard
ICDM
2009
IEEE
211views Data Mining» more  ICDM 2009»
14 years 2 months ago
Discovering Organizational Structure in Dynamic Social Network
—Applying the concept of organizational structure to social network analysis may well represent the power of members and the scope of their power in a social network. In this pap...
Jiangtao Qiu, Zhangxi Lin, Changjie Tang, Shaojie ...
WWW
2010
ACM
14 years 2 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
CORR
2010
Springer
167views Education» more  CORR 2010»
13 years 7 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
ECCV
2008
Springer
14 years 9 months ago
What Is a Good Nearest Neighbors Algorithm for Finding Similar Patches in Images?
Many computer vision algorithms require searching a set of images for similar patches, which is a very expensive operation. In this work, we compare and evaluate a number of neares...
Neeraj Kumar, Li Zhang, Shree K. Nayar