Representation Learning in Distributed Networks

被引：0
|
作者：
Rutgers The State University of New Jersey, School of Graduate Studies [1 ]
机构：
来源：
| 1600年
关键词：
Engineering Village;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Auto encoders - Covariance matrices - Dimension reduction - Distributed data - Distributed networks - Learning problem - Machine learning algorithms - Principal-component analysis - Streaming data - Uncorrelated features
引用
收藏
相关论文
共 50 条
  • [1] Distributed Dictionary Learning for Sparse Representation in Sensor Networks
    Liang, Junli
    Zhang, Miaohua
    Zeng, Xianyu
    Yu, Guoyang
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (06) : 2528 - 2541
  • [2] Distributed Variational Representation Learning
    Estella-Aguerri, Inaki
    Zaidi, Abdellatif
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (01) : 120 - 138
  • [3] The Emergence of Distributed Representation in Group Learning
    Chubala, Chrissy M.
    Jamieson, Randall K.
    [J]. CANADIAN JOURNAL OF EXPERIMENTAL PSYCHOLOGY-REVUE CANADIENNE DE PSYCHOLOGIE EXPERIMENTALE, 2014, 68 (04): : 307 - 307
  • [4] Representation Learning on Spatial Networks
    Zhang, Zheng
    Zhao, Liang
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [5] Recipe Representation Learning with Networks
    Tian, Yijun
    Zhang, Chuxu
    Metoyer, Ronald
    Chawla, Nitesh V.
    [J]. PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021, 2021, : 1824 - 1833
  • [6] On Representation Learning for Road Networks
    Wang, Meng-Xiang
    Lee, Wang-Chien
    Fu, Tao-Yang
    Yu, Ge
    [J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2021, 12 (01)
  • [7] A multiscale data representation for distributed sensor networks
    Wagner, R
    Sarvotham, S
    Baraniuk, R
    [J]. 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 549 - 552
  • [8] Distributed knowledge representation in fully connected networks
    Gattiker, JR
    [J]. IEEE INTERNATIONAL JOINT SYMPOSIA ON INTELLIGENCE AND SYSTEMS, PROCEEDINGS, 1996, : 84 - 88
  • [9] Integrating Convolutional Neural Networks into a Sparse Distributed Representation Model based on Mammalian Cortical Learning
    Padilla, Daniel E.
    McDonnell, Mark D.
    [J]. 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016, : 1187 - 1194
  • [10] Decoupled Representation Learning for Attributed Networks
    Wang, Hao
    Lian, Defu
    Tong, Hanghang
    Liu, Qi
    Huang, Zhenya
    Chen, Enhong
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (03) : 2430 - 2444
12345