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Richard Baraniuk

Showing results (1-10 of 10) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|November 24, 2020
The science of deep learningRichard Baraniuk, David Donoho, Matan Gavish
Optics Express|November 23, 2021
EDoF-ToF: extended depth of field time-of-flight imagingJasper Tan, Vivek Boominathan, Richard Baraniuk, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 4, 2015
The STOne Transform: Multi-Resolution Image Enhancement and Compressive VideoTom Goldstein, Lina Xu, Kevin F Kelly, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|August 15, 2014
Realization of hybrid compressive imaging strategiesYun Li, Aswin C Sankaranarayanan, Lina Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 24, 2017
RankMap: A Framework for Distributed Learning From Dense Data SetsAzalia Mirhoseini, Eva L Dyer, Ebrahim M Songhori, et al.
Nature Communications|August 10, 2020
Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learningLéonard Seydoux, Randall Balestriero, Piero Poli, et al.
IEEE Transactions on Haptics|August 4, 2020
A Multisensory Approach to Present Phonemes as Language Through a Wearable Haptic DeviceNathan Dunkelberger, Jennifer L Sullivan, Joshua Bradley, et al.
Journal of Chemical Theory and Computation|April 17, 2018
Rapid Calculation of Molecular Kinetics Using Compressed SensingFlorian Litzinger, Lorenzo Boninsegna, Hao Wu, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 17, 2022
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancerDavid Brenes, C J Barberan, Brady Hunt, et al.
Nature Communications|April 2, 2022
Current progress and open challenges for applying deep learning across the biosciencesNicolae Sapoval, Amirali Aghazadeh, Michael G Nute, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|November 24, 2020
The science of deep learningRichard Baraniuk, David Donoho, Matan Gavish
Optics Express|November 23, 2021
EDoF-ToF: extended depth of field time-of-flight imagingJasper Tan, Vivek Boominathan, Richard Baraniuk, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 4, 2015
The STOne Transform: Multi-Resolution Image Enhancement and Compressive VideoTom Goldstein, Lina Xu, Kevin F Kelly, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|August 15, 2014
Realization of hybrid compressive imaging strategiesYun Li, Aswin C Sankaranarayanan, Lina Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 24, 2017
RankMap: A Framework for Distributed Learning From Dense Data SetsAzalia Mirhoseini, Eva L Dyer, Ebrahim M Songhori, et al.
Nature Communications|August 10, 2020
Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learningLéonard Seydoux, Randall Balestriero, Piero Poli, et al.
IEEE Transactions on Haptics|August 4, 2020
A Multisensory Approach to Present Phonemes as Language Through a Wearable Haptic DeviceNathan Dunkelberger, Jennifer L Sullivan, Joshua Bradley, et al.
Journal of Chemical Theory and Computation|April 17, 2018
Rapid Calculation of Molecular Kinetics Using Compressed SensingFlorian Litzinger, Lorenzo Boninsegna, Hao Wu, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 17, 2022
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancerDavid Brenes, C J Barberan, Brady Hunt, et al.
Nature Communications|April 2, 2022
Current progress and open challenges for applying deep learning across the biosciencesNicolae Sapoval, Amirali Aghazadeh, Michael G Nute, et al.
Pageof 1