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» Learning from Highly Structured Data by Decomposition
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ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 10 months ago
Automatic Construction of N-ary Tree Based Taxonomies
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Kunal Punera, Suju Rajan, Joydeep Ghosh
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
16 years 4 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
WWW
2007
ACM
16 years 4 months ago
Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography
In a social network, nodes correspond to people or other social entities, and edges correspond to social links between them. In an effort to preserve privacy, the practice of anon...
Lars Backstrom, Cynthia Dwork, Jon M. Kleinberg
ECCV
2008
Springer
16 years 6 months ago
Output Regularized Metric Learning with Side Information
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
Wei Liu, Steven C. H. Hoi, Jianzhuang Liu
ACL
2011
14 years 7 months ago
Rare Word Translation Extraction from Aligned Comparable Documents
We present a first known result of high precision rare word bilingual extraction from comparable corpora, using aligned comparable documents and supervised classification. We in...
Emmanuel Prochasson, Pascale Fung