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» Learning Classifiers from Semantically Heterogeneous Data
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ANNPR
2006
Springer
14 years 1 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
COMSUR
2008
108views more  COMSUR 2008»
13 years 9 months ago
A survey of techniques for internet traffic classification using machine learning
The research community has begun looking for IP traffic classification techniques that do not rely on `well known' TCP or UDP port numbers, or interpreting the contents of pac...
Thuy T. T. Nguyen, Grenville J. Armitage
CSL
2010
Springer
13 years 9 months ago
Improving supervised learning for meeting summarization using sampling and regression
Meeting summarization provides a concise and informative summary for the lengthy meetings and is an effective tool for efficient information access. In this paper, we focus on ext...
Shasha Xie, Yang Liu
PKDD
2001
Springer
168views Data Mining» more  PKDD 2001»
14 years 2 months ago
Identification of ECG Arrhythmias Using Phase Space Reconstruction
Changes in the normal rhythmicity of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart when sustain...
Felice M. Roberts, Richard J. Povinelli, Kristina ...
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 10 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...