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Erratum: Deep neural networks with random Gaussian weights: A universal classification strategy? (IEEE Transactions on Signal Processing (2016) 64:13 (3444-3457) DOI: 10.1109/TSP.2016.2546221)

Publication ,  Journal Article
Giryes, R; Sapiro, G; Bronstein, AM
Published in: IEEE Transactions on Signal Processing
January 1, 2020

Following a comment correspondence paper, we agree that there is a mistake in one of the formulas in the paper "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? "We show that this error only impacts one claim in the original paper.

Duke Scholars

Published In

IEEE Transactions on Signal Processing

DOI

EISSN

1941-0476

ISSN

1053-587X

Publication Date

January 1, 2020

Volume

68

Start / End Page

529 / 531

Related Subject Headings

  • Networking & Telecommunications
 

Citation

APA
Chicago
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MLA
NLM
Giryes, R., Sapiro, G., & Bronstein, A. M. (2020). Erratum: Deep neural networks with random Gaussian weights: A universal classification strategy? (IEEE Transactions on Signal Processing (2016) 64:13 (3444-3457) DOI: 10.1109/TSP.2016.2546221). IEEE Transactions on Signal Processing, 68, 529–531. https://doi.org/10.1109/TSP.2019.2961228
Giryes, R., G. Sapiro, and A. M. Bronstein. “Erratum: Deep neural networks with random Gaussian weights: A universal classification strategy? (IEEE Transactions on Signal Processing (2016) 64:13 (3444-3457) DOI: 10.1109/TSP.2016.2546221).” IEEE Transactions on Signal Processing 68 (January 1, 2020): 529–31. https://doi.org/10.1109/TSP.2019.2961228.
Giryes, R., et al. “Erratum: Deep neural networks with random Gaussian weights: A universal classification strategy? (IEEE Transactions on Signal Processing (2016) 64:13 (3444-3457) DOI: 10.1109/TSP.2016.2546221).” IEEE Transactions on Signal Processing, vol. 68, Jan. 2020, pp. 529–31. Scopus, doi:10.1109/TSP.2019.2961228.

Published In

IEEE Transactions on Signal Processing

DOI

EISSN

1941-0476

ISSN

1053-587X

Publication Date

January 1, 2020

Volume

68

Start / End Page

529 / 531

Related Subject Headings

  • Networking & Telecommunications