NDLI: An assistant for an incremental learning based image processing system

Content Provider	IEEE Xplore Digital Library
Author	Yongheng Wang Weyrich, M.
Copyright Year	2015
Description	Author affiliation: Inst. of Ind. Autom. & Software Eng., Univ. of Stuttgart, Stuttgart, Germany (Yongheng Wang; Weyrich, M.)
Abstract	Supervised learning has been applied in image processing system for object recognition, inspection and measurement. However the teaching-learning mode of supervised learning is not practical in real application, because it is impossible to teach a system all possible samples in one time. Therefore, incremental learning is considered to be a promising solution which supports the iteration of teaching-learning in cycles. An incremental learning based system can always be taught and can learn new samples of objects. However, from engineering perspective, incremental learning is not so practical for user in a teaching-learning cycle. For this reason, an assistant is proposed to support teaching-learning cycles. The assistant includes the following four functions: “result monitoring”, “auxiliary teaching”, “incremental learning” and “classifier evaluation”. With the help of an assistant, system user is able to control the whole teaching-learning cycle, and interact with the image processing system easily. The concept of an assistant is tested by experiments of classifying agricultural products. It is proved that the assistant is a practical manner in image processing system.
Starting Page	1624
Ending Page	1629
File Size	370132
Page Count	6
File Format	PDF
ISBN	9781479978007
DOI	10.1109/ICIT.2015.7125329
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-17
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image processing Supervised learning Monitoring Databases Education IP networks Learning (artificial intelligence) image processing assistant supervised learning machine learning incremental learning
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