ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.10520
  4. Cited By
Multi-view Low-rank Preserving Embedding: A Novel Method for Multi-view
  Representation

Multi-view Low-rank Preserving Embedding: A Novel Method for Multi-view Representation

14 June 2020
Xiangzhu Meng
Lin Feng
Huibing Wang
ArXiv (abs)PDFHTML

Papers citing "Multi-view Low-rank Preserving Embedding: A Novel Method for Multi-view Representation"

4 / 4 papers shown
Title
TCGF: A unified tensorized consensus graph framework for multi-view
  representation learning
TCGF: A unified tensorized consensus graph framework for multi-view representation learning
Xiangzhu Meng
Wei Wei
Qiang Liu
Shu Wu
Liang Wang
44
0
0
14 Sep 2023
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging
  Analysis
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis
Xiangzhu Meng
Wei Wei
Qiang Liu
Shu Wu
Liang Wang
29
0
0
14 Sep 2023
A unified framework based on graph consensus term for multi-view
  learning
A unified framework based on graph consensus term for multi-view learning
Xiangzhu Meng
Lin Feng
Chonghui Guo
47
6
0
25 May 2021
Bayesian Sparse Factor Analysis with Kernelized Observations
Bayesian Sparse Factor Analysis with Kernelized Observations
C. Sevilla-Salcedo
Alejandro Guerrero-López
Pablo Martínez Olmos
Vanessa Gómez-Verdejo
45
7
0
01 Jun 2020
1