Two-Dimensional Extreme Learning Machine
Joint Authors
Jia, Bo
Li, Dong
Pan, Zhisong
Hu, Guyu
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Extreme learning machine (ELM) has achieved wide attention due to faster learning speed compared with conventional neural network models like support vector machine (SVM) and back-propagation(BP) networks.
However, like many other methods, ELM is originally proposed to handle vector pattern while nonvector patterns in real applications need to be explored, such as image data.
We propose the two-dimensional extreme learning machine (2DELM) based on the very natural idea to deal with matrix data directly.
Unlike original ELM which handles vectors, 2DELM take the matrices as input features without vectorization.
Empirical studies on several real image datasets show the efficiency and effectiveness of the algorithm.
American Psychological Association (APA)
Jia, Bo& Li, Dong& Pan, Zhisong& Hu, Guyu. 2015. Two-Dimensional Extreme Learning Machine. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073960
Modern Language Association (MLA)
Jia, Bo…[et al.]. Two-Dimensional Extreme Learning Machine. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1073960
American Medical Association (AMA)
Jia, Bo& Li, Dong& Pan, Zhisong& Hu, Guyu. Two-Dimensional Extreme Learning Machine. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073960
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073960