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Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition.

N. Dehmamy, N. Rohani, and A. Katsaggelos. CoRR, (2017)

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Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition.N. Dehmamy, N. Rohani, and A. Katsaggelos. CoRR, (2017)Distinguishing Attack on Bivium.Z. Noferesti, N. Rohani, J. Mohajeri, and M. Aref. CIT, page 1075-1078. IEEE Computer Society, (2010)Guess and Determine Attack on Trivium Family.N. Rohani, Z. Noferesti, J. Mohajeri, and M. Aref. EUC, page 785-790. IEEE Computer Society, (2010)Endmember detection using graph theory.N. Rohani, M. Parente, and A. Saranathan. IGARSS, page 1462-1465. IEEE, (2013)Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images.N. Rohani, J. Salvant, S. Bahaadini, O. Cossairt, M. Walton, and A. Katsaggelos. EUSIPCO, page 2111-2115. IEEE, (2016)Distinguishing Nigerian Food Items and Calorie Content with Hyperspectral Imaging.X. Wang, N. Rohani, A. Manerikar, A. Katsagellos, O. Cossairt, and N. Alshurafa. ICIAP Workshops, volume 10590 of Lecture Notes in Computer Science, page 462-470. Springer, (2017)Variational Gaussian process for multisensor classification problems.N. Rohani, P. Ruiz, R. Molina, and A. Katsaggelos. Pattern Recognition Letters, (2018)Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks.N. Rohani, E. Pouyet, M. Walton, O. Cossairt, and A. Katsaggelos. ICASSP, page 3217-3221. IEEE, (2019)Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD.N. Dehmamy, N. Rohani, and A. Katsaggelos. ICASSP, page 3232-3236. IEEE, (2019)Variational Gaussian process for sensor fusion.N. Rohani, P. Ruiz, E. Besler, R. Molina, and A. Katsaggelos. EUSIPCO, page 170-174. IEEE, (2015)

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Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition.

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Disambiguation of "Rohani, Neda"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition.

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Chicago
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Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition.