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» Learning from Multiple Sources of Inaccurate Data
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233
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ICDE
2007
IEEE
99views Database» more  ICDE 2007»
16 years 5 months ago
Source-aware Entity Matching: A Compositional Approach
Entity matching (a.k.a. record linkage) plays a crucial role in integrating multiple data sources, and numerous matching solutions have been developed. However, the solutions have...
Warren Shen, Pedro DeRose, Long Vu, AnHai Doan, Ra...
137
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HICSS
2006
IEEE
115views Biometrics» more  HICSS 2006»
15 years 9 months ago
Learning about Interoperability for Emergency Response: Geographic Information Technologies and the World Trade Center Crisis
Geographic information technologies (GIT) have the potential to integrate information among multiple organizations. In fact, some of the most impressive advantages of using geo-sp...
Teresa M. Harrison, José Ramón Gil-G...
135
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ICANN
2009
Springer
15 years 10 months ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen
149
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SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
15 years 5 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
123
Voted
ICML
2010
IEEE
15 years 4 months ago
Robust Subspace Segmentation by Low-Rank Representation
We propose low-rank representation (LRR) to segment data drawn from a union of multiple linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank represe...
Guangcan Liu, Zhouchen Lin, Yong Yu