Locally Linear Embedding and its Variants: Tutorial and Survey

22 November 2020

Papers citing "Locally Linear Embedding and its Variants: Tutorial and Survey"

5 / 5 papers shown

Title
Relating tSNE and UMAP to Classical Dimensionality Reduction Andrew Draganov Simon Dohn FAtt 25 4 0 20 Jun 2023
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations Pan He Patrick Emami Sanjay Ranka Anand Rangarajan 3DPC 28 1 0 05 Sep 2022
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 25 3 0 25 Mar 2022
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 14 4 0 29 Jun 2021
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 9 35 0 15 Jun 2021