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Patrick J Wolfe

Showing results (1-10 of 8) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|October 23, 2013
Making sense of big dataPatrick J Wolfe
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 12, 2008
Spatio-spectral color filter array design for optimal image recoveryKeigo Hirakawa, Patrick J Wolfe
Proceedings of the National Academy of Sciences of the United States of America|January 9, 2009
Spectral methods in machine learning and new strategies for very large datasetsMohamed-Ali Belabbas, Patrick J Wolfe
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 7, 2009
On landmark selection and sampling in high-dimensional data analysisMohamed-Ali Belabbas, Patrick J Wolfe
Proceedings of the National Academy of Sciences of the United States of America|October 3, 2014
Network histograms and universality of blockmodel approximationSofia C Olhede, Patrick J Wolfe
The Journal of the Acoustical Society of America|February 21, 2015
Statistical properties of linear prediction analysis underlying the challenge of formant bandwidth estimationDaryush D Mehta, Patrick J Wolfe
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 12, 2012
A CURE for noisy magnetic resonance images: chi-square unbiased risk estimationFlorian Luisier, Thierry Blu, Patrick J Wolfe
The Journal of the Acoustical Society of America|September 18, 2012
Kalman-based autoregressive moving average modeling and inference for formant and antiformant trackingDaryush D Mehta, Daniel Rudoy, Patrick J Wolfe
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|October 23, 2013
Making sense of big dataPatrick J Wolfe
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 12, 2008
Spatio-spectral color filter array design for optimal image recoveryKeigo Hirakawa, Patrick J Wolfe
Proceedings of the National Academy of Sciences of the United States of America|January 9, 2009
Spectral methods in machine learning and new strategies for very large datasetsMohamed-Ali Belabbas, Patrick J Wolfe
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 7, 2009
On landmark selection and sampling in high-dimensional data analysisMohamed-Ali Belabbas, Patrick J Wolfe
Proceedings of the National Academy of Sciences of the United States of America|October 3, 2014
Network histograms and universality of blockmodel approximationSofia C Olhede, Patrick J Wolfe
The Journal of the Acoustical Society of America|February 21, 2015
Statistical properties of linear prediction analysis underlying the challenge of formant bandwidth estimationDaryush D Mehta, Patrick J Wolfe
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 12, 2012
A CURE for noisy magnetic resonance images: chi-square unbiased risk estimationFlorian Luisier, Thierry Blu, Patrick J Wolfe
The Journal of the Acoustical Society of America|September 18, 2012
Kalman-based autoregressive moving average modeling and inference for formant and antiformant trackingDaryush D Mehta, Daniel Rudoy, Patrick J Wolfe
Pageof 1