A neural network based CBIR system using STI features and relevance feedback-Reference-Cited by-同舟云学术

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A neural network based CBIR system using STI features and relevance feedback

Published:2006-04-29 Issue:2 Volume:10 Page:121-137
ISSN:1571-4128
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Srinivasa K.G.¹,Sridharan Karthik²,Shenoy P. Deepa¹,Venugopal K.R.¹,Patnaik Lalit M.³

Affiliation:

1. Department of Computer Science and Engineering, University, Visvesvaraya College of Engineering, Bangalore University Bangalore, K R Circle, 560001, India. Tel.: ; Fax: ; E-mails: kgsrinivas@msrit.edu, shenoypd@yahoo.com, vkrajuk@vsnl.com

2. Department of Computer Science and Engineering, Sunny Baffalo, NY, USA. E-mail: karthiksridharan83@yahoo.com

3. Microprocessor Applications Laboratory, Department of CSA, Indian Institute of Science, Bangalore – 560012, India. E-mail: lalit@micro.iisc.ernet.in

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Numeral Script Identification from Handwritten Document Images;Procedia Computer Science;2015

2. Intelligent Image Retrieval Techniques: A Survey;Journal of Applied Research and Technology;2014-02

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