Automatic image annotation using semi-supervised generative modeling-Reference-Cited by-同舟云学术

Automatic image annotation using semi-supervised generative modeling

Published:2015-01 Issue:1 Volume:48 Page:174-188
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Hamid Amiri S.,Jamzad Mansour^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

1. Image retrieval: ideas, influences, and trends of the new age;Datta;ACM Computing Surv.,2008

2. M. Crucianu, M. Ferecatu, N. Boujemaa, Relevance feedback for image retrieval: a short survey, State of the Art in Audiovisual Content-Based Retrieval, Information Universal Access and Interaction including Datamodels and Languages, 2004.

3. A survey of content-based image retrieval with high-level semantics;Liu;Pattern Recognit.,2007

4. What׳s it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations;Vijayanarasimhan;Comput. Vis. Pattern Recognit.,2009

5. Supervised learning of semantic classes for image annotation and retrieval;Carneiro;IEEE Trans. PAMI,2007

Cited by 13 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. Multilabel Image Classification using the CNN and DC-CNN Model on Pascal VOC 2012 Dataset;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14

2. Specific Topics Oriented Image Annotation and Retrieval;2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS);2021-01

3. Parallel implementation for 3D medical volume fuzzy segmentation;Pattern Recognition Letters;2020-02

4. Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection;Knowledge Science, Engineering and Management;2020

5. Forward Iterative Feature Selection Based on Laplacian Score;Neural Information Processing;2020