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ISDA
2009
IEEE
14 years 3 months ago
Clustering-Based Feature Selection in Semi-supervised Problems
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
Ianisse Quinzán, José Manuel Sotoca,...
ICCV
2005
IEEE
14 years 2 months ago
Image Based Regression Using Boosting Method
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...
ECIR
2003
Springer
13 years 10 months ago
Hierarchical Classification of HTML Documents with WebClassII
This paper describes a new method for the classification of a HTML document into a hierarchy of categories. The hierarchy of categories is involved in all phases of automated docum...
Michelangelo Ceci, Donato Malerba
ICPR
2004
IEEE
14 years 9 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
ICASSP
2008
IEEE
14 years 3 months ago
A new image denoising method based on the bilateral filter
In this paper we propose a new method to reduce noise in digital images. The method is based on the bilateral filter. The bilateral filter is a nonlinear filter that does spati...
Ming Zhang, Bahadir K. Gunturk