NDLI: Sparse adaptive memory and handwritten digit recognition

Content Provider	IEEE Xplore Digital Library
Author	Flachs, B. Flynn, M.
Copyright Year	1994
Description	Author affiliation: Stanford Univ., CA, USA (Flachs, B.; Flynn, M.)
Abstract	Pattern recognition is a budding field with many possible approaches. This article describes sparse adaptive memory (SARI), an associative memory built upon the strengths of Parzen classifiers, nearest neighbor classifiers, feedforward neural networks, and is related to learning vector quantization. A key feature of this learning architecture is the ability to adaptively change its prototype patterns in addition to its output mapping. As SAM changes the prototype patterns in the list, it isolates modes in the density functions to produce a classifier that is in some senses optimal. Some very important interactions of gradient descent learning are exposed, providing conditions under which gradient descent will converge to an admissible solution in an associative memory structure. A layer of learning heuristics can be built upon the basic gradient descent learning algorithm to improve memory efficiency in terms of error rate, and therefore hardware requirements. A simulation study examines the effects of one such heuristic in the context of handwritten digit recognition.
Starting Page	1098
Ending Page	1102
File Size	439300
Page Count	5
File Format	PDF
ISBN	078031901X
DOI	10.1109/ICNN.1994.374336
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Associative memory Prototypes Pattern recognition Nearest neighbor searches Neural networks Feedforward neural networks Vector quantization Density functional theory Error analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in