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» When does Co-training Work in Real Data
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DKE
2008
106views more  DKE 2008»
15 years 4 months ago
Towards optimal k-anonymization
When releasing microdata for research purposes, one needs to preserve the privacy of respondents while maximizing data utility. An approach that has been studied extensively in re...
Tiancheng Li, Ninghui Li
PRICAI
2010
Springer
15 years 2 months ago
Multi-manifold Clustering
Manifold clustering, which regards clusters as groups of points around compact manifolds, has been realized as a promising generalization of traditional clustering. A number of lin...
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
IJCV
1998
238views more  IJCV 1998»
15 years 3 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
SIGMOD
2012
ACM
226views Database» more  SIGMOD 2012»
13 years 6 months ago
SkewTune: mitigating skew in mapreduce applications
We present an automatic skew mitigation approach for userdefined MapReduce programs and present SkewTune, a system that implements this approach as a drop-in replacement for an e...
YongChul Kwon, Magdalena Balazinska, Bill Howe, Je...
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
15 years 10 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein