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K-SVD

Known as: KSVD 
In applied mathematics, K-SVD is a dictionary learning algorithm for creating a dictionary for sparse representations, via a singular value… 
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Related topics

Related topics

8 relations
K-means clusteringMachine learningMatching pursuitNearest neighbor search

Broader (1)

Linear algebra

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
An Integrated Dictionary-Learning Entropy-Based Medical Image Fusion Framework
Image fusion is widely used in different areas and can integrate complementary and relevant information of source images captured… 
2016
2016
An Improved Denoising Algorithm of Feather and Down Image Based on KSVD
In recent years, as a new signal representation, more and more sparse representation to the general concern, and signal… 
2014
2014
$L_{1/2}$-Regularized Deconvolution Network for the Representation and Restoration of Optical Remote Sensing Images
Optical remote sensing images of land cover are composed of many natural and man-made objects and thus exhibit rich image… 
2013
2013
Compressive K-SVD
Dictionary learning algorithms design a dictionary that is specifically tailored to enable sparse representation of a given set… 
2013
2013
Image denoising via 2D dictionary learning and adaptive hard thresholding
2012
2012
A novel predual dictionary learning algorithm
2012
2012
Speaker verification using sparse representation over KSVD learned dictionary
In this work, we explore the use of sparse representation of GMM mean shifted supervectors over a learned dictionary for the… 
2011
2011
MIMO Transceiver Designs for Spatial Sensing in Cognitive Radio Networks
We propose transceiver algorithms in cognitive radio networks where the cognitive users are equipped with multiple antennas… 
2010
2010
Sparse Approximation and the Pursuit of Meaningful Signal Models With Interference Adaptation
In the pursuit of a sparse signal model, mismatches between the signal and the dictionary, as well as atoms poorly selected by… 
Highly Cited
2006
Highly Cited
2006
Robust Real-Time Face Pose and Facial Expression Recovery
Face motion is the sum of rigid motion related with face pose and non-rigid motion related with facial expression. Both motions… 
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