Cross-covariance regularized autoencoders for nonredundant sparse feature representation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Cross-covariance regularized autoencoders for nonredundant sparse feature representation

Published:2018-11 Issue: Volume:316 Page:49-58
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Chen Jie^ORCID,Wu ZhongCheng,Zhang Jun,Li Fang,Li WenJing,Wu ZiHeng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference56 articles.

1. Deep learning;LeCun;Nature,2015

2. Representation learning: a review and new perspectives;Bengio;IEEE Trans. Pattern Anal. Mach. Intell.,2013

3. Efficient learning of sparse representations with an energy-based model;Poultney,2007

4. X. Chang, T. Xiang, T.M. Hospedales, Deep Multi-View Learning with Stochastic Decorrelation Loss, arXiv:1707.09669, (2017).

5. Learning deep architectures for AI;Bengio;Found. Trends® Mach. Learn.,2009

Cited by 12 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. Feature Extraction and Selection in Hidden Layer of Deep Learning Based on Graph Compressive Sensing;Lecture Notes in Electrical Engineering;2021

2. Extreme learning machine with coefficient weighting and trained local receptive fields for image classification;Multimedia Tools and Applications;2020-07-15

3. Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions;Knowledge-Based Systems;2020-04

4. Adaptive parameter tuning stacked autoencoders for process monitoring;Soft Computing;2020-01-29

5. Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data;IEEE Transactions on Intelligent Transportation Systems;2019-12

同舟云学术

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