NDLI: Information maximization for feature detection and pattern classification by autoencoders

Content Provider	IEEE Xplore Digital Library
Author	Kamimura, R. Nakanishi, S.
Copyright Year	1995
Description	Author affiliation: Inf. Sci. Lab., Tokai Univ., Kanagawa, Japan (Kamimura, R.)
Abstract	Proposes an information maximization method, which can be used for feature detection and pattern classification. The information is defined by the decrease of the uncertainty, measured by the entropy of hidden units. By maximizing the information, hidden units tend to respond specifically to input patterns. Features, common to all the input patterns and specific to input patterns, are gradually separated. Some important or kernel components in network architectures are generated, which enable one to interpret easily the basic mechanism of the network behaviors. The authors applied the information maximization method to the feature detection and the classification of phonemes by using autoencoders which reproduce exactly input patterns at output units. The authors could observe that networks could detect features of phonemes explicitly and classify appropriately input patterns by maximizing the information. The main principle of the feature detection by the information maximization consists in the detection of features, common to many phonemes. Based upon detected common features, appropriate distinctive features can be selected.
Starting Page	985
Ending Page	989
File Size	410794
Page Count	5
File Format	PDF
ISBN	0780327683
DOI	10.1109/ICNN.1995.487554
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-11-27
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Pattern classification Entropy Information science Laboratories Measurement uncertainty Kernel Minimization methods
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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