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https://openreview.net/forum?id=0NrWI0Of7S Robust Tangent Space Estimation via Laplacian Eigenvector Gradient Orthogonalization | OpenReview Estimating the tangent spaces of a data manifold is a fundamental problem in data analysis. The standard approach, Local Principal Component Analysis (LPCA),... tangent space robust estimation via laplacian https://openreview.net/forum?id=O148Bm9lKK&referrer=%5Bthe%20profile%20of%20Zhixun%20Su%5D(%2Fprofile%3Fid%3D~Zhixun_Su1) Latent Tangent Space Representation for Normal Estimation | OpenReview Point cloud processing is rapidly expanding the applicable scenarios in the industry. The surface normal is a fundamental feature for various point cloud... tangent space latent representation normal estimation https://tangentspace.substack.com/ Tangent Space | Nikhil Hubballi | Substack Opinion | Space | Travel | Lifestyle | Curated Content | Spotlight. Click to read Tangent Space, by Nikhil Hubballi, a Substack publication. Launched 2 years... tangent space nikhil hubballi substack https://deepai.org/publication/tangent-space-spatial-filters-for-interpretable-and-efficient-riemannian-classification Tangent space spatial filters for interpretable and efficient Riemannian classification | DeepAI Sep 23, 2019 - 09/23/19 - Methods based on Riemannian geometry have proven themselves to be good models for decoding in brain-computer interfacing (BCI). Ho... tangent space spatial filters https://arxiv.org/abs/2602.22084 [2602.22084] Matrix Perturbation Theory in the Tangent Space of Isospectral Matrices Abstract page for arXiv paper 2602.22084: Matrix Perturbation Theory in the Tangent Space of Isospectral Matrices perturbation theory