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Random projections have proven extremely useful in many signal processing and machine learning applications.
Extensions of lipschitz mappings into a hilbert space
William B Johnson and Joram Lindenstrauss · 1984
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Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Computation with infinite neural networks
Christopher KI Williams · 1998
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Random projection in dimensionality reduction: applications to image and text data
Ella Bingham and Heikki Mannila · 2001
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Database-friendly random projections: Johnson-lindenstrauss with binary coins
Dimitris Achlioptas · 2003
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Experiments with random projections for machine learning
Dmitriy Fradkin and David Madigan · 2003
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Extreme learning machine: a new learning scheme of feedforward neural networks
Guang-Bin Huang, Qin-Yu Zhu, and Chee-Kheong Siew · 2004
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Kernel methods for pattern analysis
John Shawe-Taylor and Nello Cristianini · 2004
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Stable signal recovery from incomplete and inaccurate measurements
Emmanuel J Candes, Justin K Romberg, and Terence Tao · 2006
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Compressed sensing
David L Donoho · 2006
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Extreme learning machine: theory and applications
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Training linear svms in linear time
Thorsten Joachims · 2006
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Random features for large-scale kernel machines
Ali Rahimi and Benjamin Recht · 2007
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Random projections for manifold learning
Fast dimension reduction using rademacher series on dual bch codes
Nir Ailon and Edo Liberty · 2009
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Measuring the transmission matrix in optics: an approach to the study and control of light propagation in disordered media
SM Popoff, G Lerosey, R Carminati, M Fink, AC Boccara, and S Gigan · 2010
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Fastfood-approximating kernel expansions in loglinear time
Quoc Le, Tamás Sarlós, and Alex Smola · 2013
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Low-distortion subspace embeddings in input-sparsity time and applications to robust linear regression
Xiangrui Meng and Michael W Mahoney · 2013
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Imaging with nature: Compressive imaging using a multiply scattering medium
Antoine Liutkus, David Martina, Sébastien Popoff, Gilles Chardon, Ori Katz, Geoffroy Lerosey, Sylvain Gigan, Laurent Daudet, and Igor Carron · 2014
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Chinmay Hegde, Michael Wakin, and Richard Baraniuk · 2008
Cited alongside, same era.
Reference-less measurement of the transmission matrix of a highly scattering material using a dmd and phase retrieval techniques
Angélique Drémeau, Antoine Liutkus, David Martina, Ori Katz, Christophe Schülke, Florent Krzakala, Sylvain Gigan, and Laurent Daudet · 2015
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