Effective node selection technique towards sparse learning
Author:
Funder
Inha University
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-01720-5.pdf
Reference41 articles.
1. R. Girshick, J. Donahue, T. Darrell, and J. Malik, \Rich feature hierarchies for accurate object detection and semantic segmentation," in Proceedings of the IEEE conference on computer vision and pattern recognition, 2014, pp. 580–587
2. R. Girshick, “Fast r-cnn," in Proceedings of the IEEE international conference on computer vision, 2015, pp. 1440–1448
3. J.-J. Hwang and T.-L. Liu, “Pixel-wise deep learning for contour detection," arXiv preprint arXiv:1504.01989, 2015
4. Johnson, J., Karpathy, A., & Fei-Fei, L. (2016). Densecap: fully convolutional localization networks for dense captioning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 4565-4574)
5. Chen, W., Wilson, J., Tyree, S., Weinberger, K. Q., & Chen, Y. (2016). Compressing convolutional neural networks in the frequency domain. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1475-1484)
Cited by 9 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. Self-attention deep ConvLSTM with sparse-learned channel dependencies for wearable sensor-based human activity recognition;Neurocomputing;2024-02
2. Survey: Exploiting Data Redundancy for Optimization of Deep Learning;ACM Computing Surveys;2023-02-02
3. Refined Information Service Using Knowledge-Base and Deep Learning to Extract Advertisement Articles from Korean Online Articles;Sustainability;2022-10-21
4. Intelligent spacing selection model under energy-saving constraints for the selection of communication nodes in the Internet of Things;Mobile Networks and Applications;2021-09-11
5. Vehicle Type Recognition Algorithm Based on Improved Network in Network;Complexity;2021-01-05
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