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» A novel feature selection algorithm for text categorization
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ICML
2007
IEEE
14 years 9 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 9 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
SGAI
2007
Springer
14 years 2 months ago
Selecting Bi-Tags for Sentiment Analysis of Text
Sentiment Analysis aims to determine the overall sentiment orientation of a given input text. One motivation for research in this area is the need for consumer related industries t...
Rahman Mukras, Nirmalie Wiratunga, Robert Lothian
ICDAR
2009
IEEE
14 years 3 months ago
Finding Images and Line-Drawings in Document-Scanning Systems
The system presented in this paper finds images and line-drawings in scanned pages; it is a crucial processing step in the creation of a large-scale system to detect and index ima...
Shumeet Baluja, Michele Covell
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 8 months ago
Algorithmic Detection of Computer Generated Text
ct Computer generated academic papers have been used to expose a lack of thorough human review at several computer science conferences. We assess the problem of classifying such do...
Allen Lavoie, Mukkai Krishnamoorthy