This paper introduces a framework for classifying high dimensional data via a joint graph-based embedding and weighting method which could be used in semi- ...
Joint graph based embedding and feature weighting for image ...
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In this paper, we propose a joint graph-based embedding and feature weighting for getting a flexible and inductive nonlinear data representation on manifolds.
This paper introduces a framework for classifying high dimensional data via a joint graph-based embedding and weighting method which could be used in semi- ...
The proposed embedding methods are evaluated on six public scene and face datasets. Experiments on image classification, in a semi-supervised setting, show that ...
Highlights •A flexible and discriminant non-linear data embedding is proposed.•The non-linear model and its regression are simultaneously estimated.
The proposed embedding methods are evaluated on six public scene and face datasets. Experiments on image classification, in a semi-supervised setting, show that ...
Bibliographic details on Joint Graph Based Embedding and Feature Weighting for Image Classification.
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Joint graph based embedding and feature weighting for image classification. Overview of attention for article published in Pattern Recognition, September ...
Joint graph based embedding and feature weighting for image classification. Highlights•A flexible and discriminant non-linear data embedding is proposed.