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» A Framework for Multiple-Instance Learning
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 7 months ago
Consensus group stable feature selection
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
Steven Loscalzo, Lei Yu, Chris H. Q. Ding
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 6 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
SIGMOD
2004
ACM
170views Database» more  SIGMOD 2004»
16 years 6 months ago
A Formal Analysis of Information Disclosure in Data Exchange
We perform a theoretical study of the following queryview security problem: given a view V to be published, does V logically disclose information about a confidential query S? The...
Gerome Miklau, Dan Suciu
CVPR
2010
IEEE
16 years 2 months ago
Efficient Additive Kernels via Explicit Feature Maps
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
Andrea Vedaldi, Andrew Zisserman
ISBI
2009
IEEE
16 years 1 months ago
Automated Analysis of Human Protein Atlas Immunofluorescence Images
The Human Protein Atlas is a rich source of location proteomics data. In this work, we present an automated approach for processing and classifying major subcellular patterns in t...
Justin Newberg, Jieyue Li, Arvind Rao, Fredrik Pon...