@inproceedings{d7a52ab6833548388d91955bdf7839ba,
title = "Discriminative neighborhood preserving dictionary learning for image classification",
abstract = "In this paper, a discriminative neighborhood preserving dictionary learning method is proposed. The geometrical structure of the feature space is used to preserve the similarity information of the features, and the features{\textquoteright} class information is employed to enhance the discriminative power of the learned dictionary. The Laplacian matrix which expresses the similarity information and the class information of the features is constructed and used in the objective function. Experimental results on four public datasets demonstrate the effectiveness of the proposed method.",
keywords = "Dictionary learning, Discriminative, Image classification, Similarity",
author = "Shiye Zhang and Zhen Dong and Yuwei Wu and Mingtao Pei",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Image and Graphics, ICIG 2015 ; Conference date: 13-08-2015 Through 16-08-2015",
year = "2015",
doi = "10.1007/978-3-319-21963-9\_17",
language = "English",
isbn = "9783319219622",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "185--196",
editor = "Yu-Jin Zhang",
booktitle = "Image and Graphics - 8th International Conference, ICIG 2015, Proceedings, Part II",
address = "Germany",
}