Graph-based semisupervised and manifold learning for image retrieval with SVM-based relevant feedback-Reference-Cited by-同舟云学术

Graph-based semisupervised and manifold learning for image retrieval with SVM-based relevant feedback

Published:2019-07-09 Issue:1 Volume:37 Page:711-722
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Huu Quynh Nguyen¹,Viet Dung Cu¹,Thuy Quynh Dao Thi²,Quoc Tao Ngo³,Van Canh Phuong¹

Affiliation:

1. Information Technology Faculty, Electric Power University, HaNoi, Viet Nam

2. Information Technology Faculty, Posts and Telecommunications Institute of Technology, HaNoi, Viet Nam

3. Institute of Information Technology, Vietnam Academy of Science and Technology, Ha Noi, Viet Nam

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference51 articles.

1. Image Retrieval Using Color and Shape;Jain;Pattern Recognition,1996

2. Content-based image retrieval at the end of the early years;Smeulders;IEEE Transactions on Pattern Analysis and Machine Intelligence,2000

3. Image retrieval using nonlinear manifold embedding;Wang;Neurocomputing,2009

4. Bahler D. and Navarro L. , Methods for Combining Heteroge-neous Sets of Classifiers. Proc. 17th Nat’l Conf. Am. Assoc. for Artificial Intelligence, (2000).

5. Using Discriminant Eigenfeatures for Image Retrieval;Swets;IEEE Trans. Pattern Analysis and Machine Intelligence,1996

Cited by 4 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. Efficient descriptors selection in automatic image retrieval using DENOL;Journal of Intelligent & Fuzzy Systems;2022-06-09

2. An overview of cluster-based image search result organization: background, techniques, and ongoing challenges;Knowledge and Information Systems;2022-02-11

3. A modified Efficient Manifold Ranking Algorithm for Large Database Image Retrieval;Nonlinear Phenomena in Complex Systems;2020-04-14

4. Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme;Entropy;2019-10-10