Sparse feature selection based on graph Laplacian for web image annotation-Reference-Cited by-同舟云学术

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Sparse feature selection based on graph Laplacian for web image annotation

Published:2014-03 Issue:3 Volume:32 Page:189-201
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Shi Caijuan,Ruan Qiuqi,An Gaoyun

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference42 articles.

1. Pattern Classification;Duda,2001

2. Estimating attributes: analysis and extensions of RELIEF;Kononenko,1994

3. Heterogeneous feature selection by group lasso with logistic regression;Wu,2010

4. Local image tagging via graph regularized joint group sparsity;Yang;Pattern Recogn.,2013

5. Exploiting the entire feature space with sparsity for automatic image annotation;Ma,2011

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