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» Using Text Classifiers for Numerical Classification
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IJCAI
2003
13 years 8 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
CVPR
2004
IEEE
14 years 9 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
IJCNLP
2004
Springer
14 years 25 days ago
Systematic Construction of Hierarchical Classifier in SVM-Based Text Categorization
In a text categorization task, classification on some hierarchy of classes shows better results than the case without the hierarchy. In current environments where large amount of ...
Yongwook Yoon, Changki Lee, Gary Geunbae Lee
ICPR
2010
IEEE
14 years 2 months ago
A New Symmetry Based on Proximity of Wavelet-Moments for Text Frame Classification in Video
This paper proposes the use of a new symmetry property based on proximity of the median moments in the wavelet domain. The method divides a given frame into 16 equally sized blocks...
Shivakumara Palaiahnakote, Anjan Dutta, Chew-Lim T...
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
13 years 5 months ago
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
Pu Wang, Carlotta Domeniconi