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Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps

, , , , , , and . Proceedings of the National Academy of Sciences of the United States of America, 102 (21): 7426-7431 (2005)
DOI: 10.1073/pnas.0500334102

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Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps, , , , , , and . Proceedings of the National Academy of Sciences of the United States of America, 102 (21): 7426-7431 (2005)Fast and Accurate Polar Fourier Transform, , , , and . Journal on Applied and Computational Harmonic Analysis, (September 2006)Heterogeneous Datasets Representation and Learning using Diffusion Maps and Laplacian Pyramids., and . SDM, page 189-199. SIAM / Omnipress, (2012)Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 21003-21025. PMLR, (2023)Wavelet-Like Bases for the Fast Solution of Second-Kind Integral Equations., , , and . SIAM J. Sci. Comput., 14 (1): 159-184 (1993)Diffusion maps for changing data, and . CoRR, (2012)Co-manifold learning with missing data., , and . CoRR, (2018)On Zerotree Quantization for Embedded Wavelet Packet Image Coding., , , and . ICIP (2), page 283-287. IEEE, (1999)Validation of low-dimensional models using diffusion maps and harmonic averaging., , , , and . CDC, page 5353-5357. IEEE, (2007)Qeeg-Based Classification With Wavelet Packet and Microstate Features for Triage Applications in the ER., , , , , , , and . ICASSP (3), page 1136-1139. IEEE, (2006)