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Online dictionary learning from big data using accelerated stochastic approximation algorithms.

, and . ICASSP, page 16-20. IEEE, (2014)

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Sketch and Validate for Big Data Clustering., , and . CoRR, (2015)Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case., , , , and . EUSIPCO, page 1482-1486. IEEE, (2020)Spectral clustering of large-scale communities via random sketching and validation., , and . CISS, page 1-6. IEEE, (2015)Clustering high-dimensional data via random sampling and consensus., , and . GlobalSIP, page 307-311. IEEE, (2014)Online dictionary learning from big data using accelerated stochastic approximation algorithms., and . ICASSP, page 16-20. IEEE, (2014)Generalized thresholding sparsity-aware algorithm for low complexity online learning., , , and . ICASSP, page 3277-3280. IEEE, (2012)Trading off Complexity With Communication Costs in Distributed Adaptive Learning via Krylov Subspaces for Dimensionality Reduction., , and . J. Sel. Topics Signal Processing, 7 (2): 257-273 (2013)Trading off communications bandwidth with accuracy in adaptive diffusion networks., , and . ICASSP, page 2048-2051. IEEE, (2011)MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging., , and . ISBI, page 1213-1216. IEEE, (2018)Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning., , and . ICASSP, page 1-5. IEEE, (2023)