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» Efficient Discovery of Confounders in Large Data Sets
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CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 9 months ago
Support Vector Machine Classification with Indefinite Kernels
In this paper, we propose a method for support vector machine classification using indefinite kernels. Instead of directly minimizing or stabilizing a nonconvex loss function, our...
Ronny Luss, Alexandre d'Aspremont
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
13 years 6 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
EDBT
2006
ACM
191views Database» more  EDBT 2006»
14 years 9 months ago
Distributed Spatial Clustering in Sensor Networks
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...
Anand Meka, Ambuj K. Singh
CVPR
2003
IEEE
14 years 11 months ago
A 2D Moving Grid Geometric Deformable Model
Geometric deformable models based on the level set method have become very popular in the last several years. To overcome an inherent limitation in accuracy while maintaining comp...
Xiao Han, Chenyang Xu, Jerry L. Prince
PODS
2005
ACM
124views Database» more  PODS 2005»
14 years 9 months ago
Diagnosis of asynchronous discrete event systems: datalog to the rescue!
We consider query optimization techniques for data intensive P2P applications. We show how to adapt an old technique from deductive databases, namely Query-Sub-Query (QSQ), to a s...
Serge Abiteboul, Stefan Haar, Tova Milo, Zoë ...