Discriminative Autoencoder for Feature Extraction: Application to Character Recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
http://link.springer.com/content/pdf/10.1007/s11063-018-9894-5.pdf
Reference37 articles.
1. Qian Y, Ye M, Zhou J (2013) Hyperspectral image classification based on structured sparse logistic regression and three-dimensional wavelet texture features. IEEE Trans Geosci Remote Sens 51(4):2276–2291
2. Vigdor B, Lerner B (2006) Accurate and fast off and online fuzzy ARTMAP-based image classification with application to genetic abnormality diagnosis. IEEE Trans Neural Netw 17(5):1288–1300
3. Tao H, Hou C, Nie F, Jiao Y, Yi D (2016) Effective discriminative feature selection with nontrivial solution. IEEE Trans Neural Netw Learn Syst 27(4):796–808
4. Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR’05), vol 1. IEEE, pp 886–893
5. Cheung W, Hamarneh G (2007) N-sift: N-dimensional scale invariant feature transform for matching medical images. In: 2007 4th IEEE international symposium on biomedical imaging: from nano to macro. IEEE, pp 720–723
Cited by 41 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. 3D medical image analysis with autoencoder-based feature extraction and shallow models;Optics, Photonics, and Digital Technologies for Imaging Applications VIII;2024-06-18
2. A Deep Neural Network Based Holistic Approach for Optical Character Recognition of Handwritten Documents;SN Computer Science;2024-03-27
3. A Novel Self Learning Activation Function Using Gegenbauer Polynomials for An Effective Medical Image Denoising;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08
4. Few-Shot Learning with Discriminative Representation for Cyberattack Detection;2023 15th International Conference on Knowledge and Systems Engineering (KSE);2023-10-18
5. LSTM autoencoders based unsupervised machine learning for transmission line protection;Electric Power Systems Research;2023-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3