NDLI: Spiking neural network for visual pattern recognition

Content Provider	IEEE Xplore Digital Library
Author	Daqi Liu Shigang Yue
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. Sci., Univ. of Lincoln, Lincoln, UK (Daqi Liu; Shigang Yue)
Abstract	Most of visual pattern recognition algorithms try to emulate the mechanism of visual pathway within the human brain. Regarding of classic face recognition task, by using the spatiotemporal information extracted from Spiking neural network (SNN), batch learning rule and on-line learning rule stand out from their competitors. However, the former one simply considers the average pattern within the class, and the latter one just relies on the nearest relevant single pattern. In this paper, a novel learning rule and its SNN framework has been proposed. It considers all relevant patterns in the local domain around the undetermined sample rather than just nearest relevant single pattern. Experimental results show the proposed learning rule and its SNN framework obtains satisfactory testing results under the ORL face database.
Starting Page	1
Ending Page	5
File Size	540359
Page Count	5
File Format	PDF
e-ISBN	9781479967322
DOI	10.1109/MFI.2014.6997737
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Visualization Biological neural networks Pattern recognition Face Databases Encoding on-line learning rule visual pattern recognition SNN batch learning rule
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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