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. 1507.05880
  4. Cited By
A study of the classification of low-dimensional data with supervised
  manifold learning
v1v2v3 (latest)

A study of the classification of low-dimensional data with supervised manifold learning

21 July 2015
Elif Vural
C. Guillemot
ArXiv (abs)PDFHTML

Papers citing "A study of the classification of low-dimensional data with supervised manifold learning"

6 / 6 papers shown
Title
Tailoring Mixup to Data for Calibration
Tailoring Mixup to Data for Calibration
Quentin Bouniot
Pavlo Mozharovskyi
Florence dÁlché-Buc
157
1
0
02 Nov 2023
Graph Embedding via High Dimensional Model Representation for
  Hyperspectral Images
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images
G. Taşkın
Gustau Camps-Valls
24
9
0
29 Nov 2021
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture
  for Image Feature Representation
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation
Lei Gao
Zheng Guo
L. Guan
71
3
0
28 Oct 2021
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an
  Algorithm
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm
Semih Kaya
Elif Vural
27
3
0
03 Jun 2020
Unsupervised Co-Learning on $\mathcal{G}$-Manifolds Across Irreducible
  Representations
Unsupervised Co-Learning on G\mathcal{G}G-Manifolds Across Irreducible Representations
Yifeng Fan
Tingran Gao
Zhizhen Zhao
39
5
0
06 Jun 2019
Out-of-sample generalizations for supervised manifold learning for
  classification
Out-of-sample generalizations for supervised manifold learning for classification
Elif Vural
C. Guillemot
48
33
0
09 Feb 2015
1