NDLI: Competitive learning and winning-weighted competition for optimal vector quantizer design

Content Provider	IEEE Xplore Digital Library
Author	Wang, Z. Hanson, J.V.
Copyright Year	1993
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada (Wang, Z.)
Abstract	It is essential to build a nonparametric model to estimate a probability density function p(x) in the areas of vector quantization, pattern recognition, control, and many others. A generalization of Kohonen learning, the winning-weighted competitive learning (WWCL), is presented for a better approximation of p(x) and fast learning convergence by introducing the principle of maximum information preservation into the learning. The WWCL is a promising alternative and improvement to the generalized Lloyd algorithm (GLA) which is an iterative descent algorithm with a monotonically decreasing distortion function towards a local minimum. The WWCL is an online algorithm where the codebook is designed while training data is arriving and the reduction of the distortion function is not necessarily monotonic. Experimental results show that the WWCL consistently provides better codebooks than the Kohonen learning and the GLA in distortion or convergence rate.
Starting Page	50
Ending Page	59
File Size	485010
Page Count	10
File Format	PDF
ISBN	0780309286
DOI	10.1109/NNSP.1993.471884
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-09-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Signal processing algorithms Algorithm design and analysis Clustering algorithms Convergence Neural networks Probability density function Training data Rate distortion theory Vector quantization
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

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