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SIGIR
1995
ACM
13 years 8 months ago
Noise Reduction in a Statistical Approach to Text Categorization
This paper studies noise reduction for computational efficiency improvements in a statistical learning method for text categorization, the Linear Least Squares Fit (LLSF) mapping...
Yiming Yang
GREC
2005
Springer
13 years 10 months ago
Adaptive Noise Reduction for Engineering Drawings Based on Primitives and Noise Assessment
In this paper, a novel, adaptive noise reduction method for engineering drawings is proposed based on assessment of both primitives and noise. Unlike the current approaches, our m...
Jing Zhang, Wan Zhang, Liu Wenyin
ISBI
2004
IEEE
14 years 5 months ago
A Bayesian Approach to Image Restoration
A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction methods. The proposed method, whi...
Andreas Wrangsjö, Hans Knutsson, Magnus Borga
ICML
1997
IEEE
13 years 9 months ago
A Comparative Study on Feature Selection in Text Categorization
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
Yiming Yang, Jan O. Pedersen
DMIN
2006
114views Data Mining» more  DMIN 2006»
13 years 6 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu