Results 281 to 290 of about 20,444,531 (305)
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Federated Sparse Gaussian Processes

2022
Xiangyang Guo, Daqing Wu, Jinwen Ma
openaire   +1 more source

Sparse Spectrum Gaussian Process Regression

2010
We 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
openaire   +1 more source

A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing

Circuits, systems, and signal processing, 2018
L. Stanković   +4 more
semanticscholar   +1 more source

Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

IEEE Transactions on Image Processing, 2007
Kostadin Dabov   +3 more
semanticscholar   +1 more source

$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

IEEE Transactions on Signal Processing, 2006
M. Aharon, Michael Elad, A. Bruckstein
semanticscholar   +1 more source

Distributed and sparse signal processing

2019
The 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.
openaire   +1 more source

Image Super-Resolution Via Sparse Representation

IEEE Transactions on Image Processing, 2010
Jianchao Yang   +3 more
semanticscholar   +1 more source

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