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» Learning the Common Structure of Data
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134
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ECML
2001
Springer
15 years 9 months ago
Iterative Double Clustering for Unsupervised and Semi-supervised Learning
We present a powerful meta-clustering technique called Iterative Double Clustering (IDC). The IDC method is a natural extension of the recent Double Clustering (DC) method of Slon...
Ran El-Yaniv, Oren Souroujon
175
Voted
IPMI
2005
Springer
16 years 5 months ago
Analysis of Event-Related fMRI Data Using Diffusion Maps
The blood oxygen level-dependent (BOLD) signal in response to brief periods of stimulus can be detected using event-related functional magnetic resonance imaging (ER-fMRI). In this...
François G. Meyer, Xilin Shen
ER
2007
Springer
127views Database» more  ER 2007»
15 years 11 months ago
Update XML Data by Using Graphical Languages
To be a full-featured data exchange format, XML should support not only queries but also updates on its contents. The new W3C XML update facility has proposed a set of operators (...
Wei Ni, Tok Wang Ling
168
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IWPSE
2003
IEEE
15 years 10 months ago
CVS Release History Data for Detecting Logical Couplings
The dependencies and interrelations between classes and modules affect the maintainability of object-oriented systems. It is therefore important to capture weaknesses of the softw...
Harald Gall, Mehdi Jazayeri, Jacek Krajewski
PVLDB
2008
167views more  PVLDB 2008»
15 years 3 months ago
Keyword search on external memory data graphs
Keyword search on graph structured data has attracted a lot of attention in recent years. Graphs are a natural "lowest common denominator" representation which can combi...
Bhavana Bharat Dalvi, Meghana Kshirsagar, S. Sudar...