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Hierarchical sparse method with applications in vision and speech recognition
RAMADHAN ABDO MUSLEH ALSAIDI1; HONG LI.1; YANTAO WEI2; ROKAN KHAJI3; Tang Y.Y.4
2013-03-01
Source PublicationInternational Journal of Wavelets, Multiresolution and Information Processing
ISSN0219-6913
Volume11Issue:2
Abstract

A new approach for feature extraction using neural response has been developed in this paper through combining the hierarchical architectures with the sparse coding technique. As far as proposed layered model, at each layer of hierarchy, it concerned two components that were used are sparse coding and pooling operation. While the sparse coding was used to solve increasingly complex sparse feature representations, the pooling operation by comparing sparse outputs was used to measure the match between a stored prototype and the input sub-image. It is recommended that value of the best matching should be kept and discarding the others. The proposed model is implemented and tested taking into account two ranges of recognition tasks i.e. image recognition and speech recognition (on isolated word vocabulary). Experimental results with various parameters demonstrate that proposed scheme leads to extract more efficient features than other methods. © 2013 World Scientific Publishing Company.

KeywordFeature Extraction Hierarchical Learning Isolated Word Pooling Operation Sparse Coding
DOIhttps://doi.org/10.1142/S0219691313500161
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Mathematics
WOS SubjectComputer Science, Software Engineering ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000317851500006
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD, 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
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Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorRAMADHAN ABDO MUSLEH ALSAIDI; HONG LI.; YANTAO WEI; ROKAN KHAJI; Tang Y.Y.
Affiliation1.School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan, 430074, China
2.Department of Information Technology Central China Normal University Wuhan, 430079, China
3.School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan, 430074, China
4.Faculty of Science and Technology University of Macau, Macao, China
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
RAMADHAN ABDO MUSLEH ALSAIDI,HONG LI.,YANTAO WEI,et al. Hierarchical sparse method with applications in vision and speech recognition[J]. International Journal of Wavelets, Multiresolution and Information Processing,2013,11(2).
APA RAMADHAN ABDO MUSLEH ALSAIDI,HONG LI.,YANTAO WEI,ROKAN KHAJI,&Tang Y.Y..(2013).Hierarchical sparse method with applications in vision and speech recognition.International Journal of Wavelets, Multiresolution and Information Processing,11(2).
MLA RAMADHAN ABDO MUSLEH ALSAIDI,et al."Hierarchical sparse method with applications in vision and speech recognition".International Journal of Wavelets, Multiresolution and Information Processing 11.2(2013).
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