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» Learning the Common Structure of Data
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139
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SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
15 years 5 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi
159
Voted
PRL
2011
14 years 6 months ago
Structural matching of 2D electrophoresis gels using deformed graphs
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...
XIMEP
2005
ACM
106views Database» more  XIMEP 2005»
15 years 9 months ago
Combining a Publish and Subscribe Collaboration Architecture with XQuery Approaches
Markup languages, representations, schemas, and tools have significantly increased the ability for organizations to share their information. Languages such as the Extensible Marku...
M. Brian Blake, David H. Fado, Gregory A. Mack
154
Voted
SDM
2012
SIAM
282views Data Mining» more  SDM 2012»
13 years 6 months ago
Citation Prediction in Heterogeneous Bibliographic Networks
To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...
Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han
93
Voted
IJON
2010
120views more  IJON 2010»
15 years 2 months ago
Semi-supervised learning with varifold Laplacians
This paper presents varifold learning, a learning framework based on the mathematical concept of varifolds. Different from manifold based methods, our varifold learning framework ...
Lei Ding, Peibiao Zhao