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

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

21 July 2015

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

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Title
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 G. Taşkın Gustau Camps-Valls 22 9 0 29 Nov 2021
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 Semih Kaya Elif Vural 27 3 0 03 Jun 2020
$Unsupervised Co-Learning on $\mathcal{G}$-Manifolds Across Irreducible Representations$ Unsupervised Co-Learning on $\mathcal{G}$ -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 Elif Vural C. Guillemot 46 33 0 09 Feb 2015

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