Results 281 to 290 of about 20,444,531 (305)
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Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing
, 2010Michael Elad
semanticscholar +1 more source
Sparse Spectrum Gaussian Process Regression
2010We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algorithm for regression tasks. We compare the achievable trade-offs between predictive accuracy and computational requirements, and show that these are typically superior to ...
Lázaro-Gredilla, M. +3 more
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A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing
Circuits, systems, and signal processing, 2018L. Stanković +4 more
semanticscholar +1 more source
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
IEEE Transactions on Image Processing, 2007Kostadin Dabov +3 more
semanticscholar +1 more source
$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
IEEE Transactions on Signal Processing, 2006M. Aharon, Michael Elad, A. Bruckstein
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Distributed and sparse signal processing
2019The 21st century will be remembered for the ubiquity of data. Data analysis has become an indispensable tool for finding patterns in high-dimensional datasets, and the steep increase in computational power allows us to execute ever more sophisticated algorithms.
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Image Super-Resolution Via Sparse Representation
IEEE Transactions on Image Processing, 2010Jianchao Yang +3 more
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