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» Feature Selection and Effective Classifiers
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KDD
2003
ACM
135views Data Mining» more  KDD 2003»
14 years 9 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
BMCBI
2010
111views more  BMCBI 2010»
13 years 9 months ago
Protein sequences classification by means of feature extraction with substitution matrices
Background: This paper deals with the preprocessing of protein sequences for supervised classification. Motif extraction is one way to address that task. It has been largely used ...
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Ngu...
CVPR
2004
IEEE
14 years 10 months ago
Detecting and Reading Text in Natural Scenes
This paper gives an algorithm for detecting and reading text in natural images. The algorithm is intended for use by blind and visually impaired subjects walking through city scen...
Xiangrong Chen, Alan L. Yuille
ISCA
1997
IEEE
104views Hardware» more  ISCA 1997»
14 years 1 months ago
Complexity-Effective Superscalar Processors
The performance tradeoff between hardware complexity and clock speed is studied. First, a generic superscalar pipeline is defined. Then the specific areas of register renaming, ...
Subbarao Palacharla, Norman P. Jouppi, James E. Sm...
IJCAI
2003
13 years 10 months ago
Learning to Classify Texts Using Positive and Unlabeled Data
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
Xiaoli Li, Bing Liu