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SIVP
2010
109views more  SIVP 2010»
15 years 1 months ago
Image-adaptive watermarking using 2D chirps
Yimin Zhang, Bijan G. Mobasseri, Behzad M. Dogahe,...
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 6 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
16 years 3 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
16 years 28 days ago
Stacked Gaussian Process Learning
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel...
162
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PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
16 years 24 days ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont