Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey

3 June 2021

Papers citing "Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey"

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Title
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection Hanzhe Liang Guoyang Xie Chengbin Hou Bingshu Wang Can Gao Jinbao Wang 3DPC 106 4 0 18 Dec 2024
Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching Matteo Bastico Etienne Decencière Laurent Corté Yannick Tillier David Ryckelynck 3DPC 43 0 0 27 Feb 2024
A Tutorial on the Spectral Theory of Markov Chains E. Seabrook Laurenz Wiskott 30 16 0 05 Jul 2022
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 29 22 0 25 Aug 2021
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 30 4 0 29 Jun 2021