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• W2945356054 abstract "We introduce multi-frequency vector diffusion maps (MFVDM), a new framework for organizing and analyzing high dimensional datasets. The new method is a mathematical and algorithmic generalization of vector diffusion maps (VDM) and other non-linear dimensionality reduction methods. MFVDM combines different nonlinear embeddings of the data points defined with multiple unitary irreducible representations of the alignment group that connect two nodes in the graph. We illustrate the efficacy of MFVDM on synthetic data generated according to a random graph model and cryo-electron microscopy image dataset. The new method achieves better nearest neighbor search and alignment estimation than the state-of-the-arts VDM and diffusion maps (DM) on extremely noisy data." @default.
• W2945356054 created "2019-05-29" @default.
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• W2945356054 date "2019-06-06" @default.
• W2945356054 modified "2023-09-27" @default.
• W2945356054 title "Multi-Frequency Vector Diffusion Maps" @default.
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• W2945356054 hasPublicationYear "2019" @default.
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