![](/images/graphics-bg.png)
Customized Dictionary Learning for Subdatasets with Fine Granularity
Joint Authors
Xu, Xin
Ye, Lei
Wang, Can
Qian, Hui
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-27
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Sparse models have a wide range of applications in machine learning and computer vision.
Using a learned dictionary instead of an “off-the-shelf” one can dramatically improve performance on a particular dataset.
However, learning a new one for each subdataset (subject) with fine granularity may be unwarranted or impractical, due to restricted availability subdataset samples and tremendous numbers of subjects.
To remedy this, we consider the dictionary customization problem, that is, specializing an existing global dictionary corresponding to the total dataset, with the aid of auxiliary samples obtained from the target subdataset.
Inspired by observation and then deduced from theoretical analysis, a regularizer is employed penalizing the difference between the global and the customized dictionary.
By minimizing the sum of reconstruction errors of the above regularizer under sparsity constraints, we exploit the characteristics of the target subdataset contained in the auxiliary samples while maintaining the basic sketches stored in the global dictionary.
An efficient algorithm is presented and validated with experiments on real-world data.
American Psychological Association (APA)
Ye, Lei& Wang, Can& Xu, Xin& Qian, Hui. 2016. Customized Dictionary Learning for Subdatasets with Fine Granularity. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1112313
Modern Language Association (MLA)
Ye, Lei…[et al.]. Customized Dictionary Learning for Subdatasets with Fine Granularity. Mathematical Problems in Engineering No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1112313
American Medical Association (AMA)
Ye, Lei& Wang, Can& Xu, Xin& Qian, Hui. Customized Dictionary Learning for Subdatasets with Fine Granularity. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1112313
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112313