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» Identifying graphs from noisy and incomplete data
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PVLDB
2010
81views more  PVLDB 2010»
13 years 6 months ago
SOLOMON: Seeking the Truth Via Copying Detection
We live in the Information Era, with access to a huge amount of information from a variety of data sources. However, data sources are of different qualities, often providing conï¬...
Xin Dong, Laure Berti-Equille, Yifan Hu, Divesh Sr...
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
14 years 8 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 6 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
ACL
2011
12 years 11 months ago
Automated Whole Sentence Grammar Correction Using a Noisy Channel Model
Automated grammar correction techniques have seen improvement over the years, but there is still much room for increased performance. Current correction techniques mainly focus on...
Y. Albert Park, Roger Levy
CVPR
2005
IEEE
14 years 9 months ago
Dense Photometric Stereo Using a Mirror Sphere and Graph Cut
We present a surprisingly simple system that allows for robust normal reconstruction by dense photometric stereo, in the presence of severe shadows, highlight, transparencies, com...
Tai-Pang Wu, Chi-Keung Tang