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» Feature selection methods for text classification
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IJCAI
2003
15 years 6 days 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
IEEEICCI
2008
IEEE
15 years 5 months ago
Improved offline signature verification scheme using feature point extraction method
In this paper a novel offline signature verification scheme has been proposed. The scheme is based on selecting 60 feature points from the geometric centre of the signature and co...
Debasish Jena, Banshidhar Majhi, Saroj Kumar Panig...
CVPR
2005
IEEE
16 years 25 days ago
Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
Evgeniy Bart, Shimon Ullman
ICDAR
2011
IEEE
13 years 10 months ago
A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition
— This paper presents a new method based on Fourier and moments features to extract words and characters from a video text line in any direction for recognition. Unlike existing ...
Deepak Rajendran, Palaiahnakote Shivakumara, Bolan...
ICMCS
2010
IEEE
231views Multimedia» more  ICMCS 2010»
14 years 8 months ago
Event based news video people classification and ranking using multimodality features
Existing research on news video analysis mainly concentrates on structure analysis, semantic concept detection, annotation and search. However, little work has been contributed to...
Chunxi Liu, Qingming Huang, Shuqiang Jiang, Changs...