Manifold Learning for Latent Variable Inference in Dynamical Systems

DOI10.1109/TSP.2015.2432731zbMath1394.94015OpenAlexW2403175639MaRDI QIDQ4580699

Hitten P. Zaveri, Ronen Talmon, Stephane Mallat, Ronald R. Coifman

Publication date: 22 August 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2015.2432731

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (5)

Local kernels and the geometric structure of data ⋮ Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems ⋮ Parsimonious representation of nonlinear dynamical systems through manifold learning: a chemotaxis case study ⋮ Algorithm for the detection of changes in the dynamics of a multivariate time series via sliced cross-bispectrum ⋮ Intrinsic modeling of stochastic dynamical systems using empirical geometry

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