Optimizing feature selection in video-based recognition using Max–Min Ant System for the online video contextual advertisement user-oriented system-Reference-Cited by-同舟云学术

Optimizing feature selection in video-based recognition using Max–Min Ant System for the online video contextual advertisement user-oriented system

Published:2017-07 Issue: Volume:21 Page:361-370
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Bao Le Nguyen,Le Dac-Nhuong,Nguyen Gia Nhu,Bhateja Vikrant,Satapathy Suresh Chandra

Publisher

Elsevier BV

Subject

Modelling and Simulation,General Computer Science,Theoretical Computer Science

Reference58 articles.

1. Performance evaluation of video-based face recognition approaches for online video contextual advertisement user-oriented system;Bao;Inf. Syst. Des. Intell. Appl.,2016

2. Video-based face recognition: state of the art;Zhaoxiang;Lect. Notes Comput. Sci.,2011

3. Face recognition;Zhao;ACM Comput. Surv.,2003

4. State-of-the-art on video-based face recognition;Yan;Chin. J. Comput.,2009

5. Graph embedding and extensions: a general framework for dimensionality reduction;Shuicheng;IEEE Trans. Pattern Anal. Mach. Intell.,2007

Cited by 25 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. Analyzing Transformer Insulation Paper Prognostics and Health Management: A Modeling Framework Perspective;IEEE Access;2024

2. Emotion Recognition System via Facial Expressions and Speech Using Machine Learning and Deep Learning Techniques;SN Computer Science;2023-04-28

3. A survey of online video advertising;WIREs Data Mining and Knowledge Discovery;2023-01-18

4. A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer model;Energy;2023-01

5. Machine Learning in Online Advertising Research: A Systematic Mapping Study;Lecture Notes in Management and Industrial Engineering;2023