A correlation graph approach for unsupervised manifold learning in image retrieval tasks-Reference-Cited by-同舟云学术

A correlation graph approach for unsupervised manifold learning in image retrieval tasks

Published:2016-10 Issue: Volume:208 Page:66-79
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Pedronette Daniel Carlos Guimarães,Torres Ricardo da S.

Funder

São Paulo Research Foundation - FAPESP

CNPq

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference80 articles.

1. Interactive search in image retrieval;Thomee;Int. J. Multimedia Inf. Retrieval,2012

2. Content-based multimedia information retrieval;Lew;ACM Trans. Multimedia Comput. Commun. Appl.,2006

3. Multitask linear discriminant analysis for view invariant action recognition;Yan;IEEE Trans. Image Process.,2014

4. Y. Yan, E. Ricci, R. Subramanian, G. Liu, O. Lanz, N. Sebe, A multi-task learning framework for head pose estimation under target motion, IEEE Trans. Pattern Anal. Mach. Intell. On-line, To appear.

5. Image retrieval;Datta;ACM Comput. Surv.,2008

Cited by 29 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. Unsupervised affinity learning based on manifold analysis for image retrieval: A survey;Computer Science Review;2024-08

2. pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. Regression by Re-Ranking;Pattern Recognition;2023-08

4. Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning;IEEE Transactions on Image Processing;2023

5. A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16