GAUSSIAN DISTRIBUTED GRAPH CONSTRAINED MULTI-MODAL GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR ORDINAL LABELED DATA

被引:0
|
作者
Maeda, Keisuke [1 ]
Ogawa, Takahiro [1 ]
Haseyama, Miki [1 ]
机构
[1] Faculty of Information Science and Technology, Hokkaido University, Sapporo,060-0814, Japan
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Gaussian distribution
引用
收藏
页码:3798 / 3802
相关论文
共 50 条
  • [31] Nonlinear Probabilistic Monitoring Based on the Gaussian Process Latent Variable Model
    Ge, Zhiqiang
    Song, Zhihuan
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2010, 49 (10) : 4792 - 4799
  • [32] Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering
    Li, Ping
    Chen, Songcan
    IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (01) : 61 - 73
  • [33] Gaussian Process Latent Variable Model for Dimensionality Reduction in Intrusion Detection
    Abolhasanzadeh, Bahareh
    2015 23RD IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2015, : 674 - 678
  • [34] A new classification algorithm based on Gaussian process latent variable model
    Wang, Xiu-Mei
    Gao, Xin-Bo
    Li, Jie
    Jisuanji Xuebao/Chinese Journal of Computers, 2012, 35 (12): : 2661 - 2667
  • [35] Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification
    Jiang, Xinwei
    Fang, Xiaoping
    Chen, Zhikun
    Gao, Junbin
    Jiang, Junjun
    Cai, Zhihua
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 14 (10) : 1760 - 1764
  • [36] Supervised Latent Variable Model with Gaussian Inner Structure for Dynamic PROCESS
    Sun, Xiaoyu
    Liu, Jianchang
    Yu, Xia
    Wang, Honghai
    Tan, Shubin
    2022 7TH INTERNATIONAL CONFERENCE ON CONTROL, ROBOTICS AND CYBERNETICS, CRC, 2022, : 59 - 63
  • [37] Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair
    Xiong, Hao
    Liu, Tongliang
    Tao, Dacheng
    THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, : 3641 - 3647
  • [38] Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification
    Li, Jinxing
    Zhang, Bob
    Zhang, David
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (09) : 4272 - 4286
  • [39] A Latent Gaussian process model for analysing intensive longitudinal data
    Chen, Yunxiao
    Zhang, Siliang
    BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 2020, 73 (02): : 237 - 260
  • [40] Non-linear dynamic texture analysis and synthesis using constrained Gaussian process latent variable model
    Zhou, Guanling
    Dong, Nanping
    Wang, Yuping
    PROCEEDINGS OF THE 2009 PACIFIC-ASIA CONFERENCE ON CIRCUITS, COMMUNICATIONS AND SYSTEM, 2009, : 27 - 30