Deep supervised dictionary learning by algorithmic unrolling - application to fast 2D dynamic MR image reconstruction.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16182
Abstract: BACKGROUND Unrolled Neural Networks (NNs) have been extensively applied to different image reconstruction problems across all imaging modalities. A key component of the latter is that they allow for physics-informed learning of the regularization method… read more here.
Keywords: physics; reconstruction; image reconstruction; method ... See more keywords
Block Matching Video Compression Based on Sparse Representation and Dictionary Learning
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0720-5
Abstract: This work presents a video compression method based on sparse representation and dictionary learning algorithms. The proposed scheme achieves superb rate-distortion performance and decent subjective quality, compared to modern standards, especially at low bit-rates. Different… read more here.
Keywords: sparse representation; compression; dictionary learning; motion ... See more keywords
Recurrent Neural Network-Based Dictionary Learning for Compressive Speech Sensing
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01058-5
Abstract: We propose a novel dictionary learning technique for compressive sensing of speech signals based on the recurrent neural network. First, we exploit the recurrent neural network to solve an $$\ell _{0}$$ℓ0-norm optimization problem based on… read more here.
Keywords: neural network; dictionary learning; speech; recurrent neural ... See more keywords
Face recognition based on manifold constrained joint sparse sensing with K-SVD
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6071-9
Abstract: Face recognition based on Sparse representation idea has recently become an important research topic in computer vision community. However, the dictionary learning process in most of the existing approaches suffers from the perturbations brought by… read more here.
Keywords: dictionary learning; input samples; recognition based; face recognition ... See more keywords
Single image super-resolution via low-rank tensor representation and hierarchical dictionary learning
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08259-9
Abstract: Super-resolution (SR) has been widely studied due to its importance in real applications and scenarios. In this paper, we focus on generating an SR image from a single low-resolution (LR) input image by employing the… read more here.
Keywords: resolution; image; hierarchical dictionary; super resolution ... See more keywords
Compound dictionary learning based classification method with a novel virtual sample generation Technology for Face Recognition
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08965-9
Abstract: Face recognition has earned its high reputation for many years since its considerable advances. However, it is still faced with the challenge of the small sample size problem. With the inspiration of the axis-symmetrical property… read more here.
Keywords: dictionary learning; based classification; learning based; face ... See more keywords
Performance evaluation of pan-sharpening and dictionary learning methods for sparse representation of hyperspectral super-resolution
Sign Up to like & getrecommendations! Published in 2021 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-020-01836-8
Abstract: Because it contains high spectral information, hyperspectral imagery has been used in many areas. However, hyperspectral imagery has low spatial resolution because of imaging hardware limitation. Recently, many methods have been available for improving spatial… read more here.
Keywords: resolution; pan sharpening; sparse representation; dictionary learning ... See more keywords
Joint distances by sparse representation and locality-constrained dictionary learning for robust leaf recognition
Sign Up to like & getrecommendations! Published in 2017 at "Computers and Electronics in Agriculture"
DOI: 10.1016/j.compag.2017.11.013
Abstract: Abstract Plant species recognition has been a difficult and important task in agriculture, where computer techniques like image processing and pattern recognition can commendably facilitate plant recognition based on leaf images. The locality-constrained models produced… read more here.
Keywords: recognition; sparse representation; dictionary learning; leaf recognition ... See more keywords
Graph Anomaly Detection Using Dictionary Learning
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DOI: 10.1016/j.ifacol.2020.12.1731
Abstract: Abstract Anomaly detection in networked signals often boils down to identifying an underlying graph structure on which the abnormal occurrence rests on. We investigate the problem of learning graph structure representations using adaptations of dictionary… read more here.
Keywords: dictionary learning; anomaly detection; learning; structure ... See more keywords
Learning dictionary in the approximately flattened structure domain
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DOI: 10.1016/j.jappgeo.2018.09.010
Abstract: Abstract Dictionary learning provides an adaptive way to optimally represent a given dataset. In dictionary learning, the basis function is adapted according to the given data instead of being fixed in many analytical sparse transforms.… read more here.
Keywords: flattened structure; dictionary learning; seismic data; approximately flattened ... See more keywords
Class-wise dictionary learning for hyperspectral image classification
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DOI: 10.1016/j.neucom.2016.05.101
Abstract: Abstract In order to effectively exploit the intra-class and inter-class structure information, we propose a new class-wise dictionary learning method for hyperspectral image classification. First, we construct two special manifold regularizers to encourage intra-class basis… read more here.
Keywords: classification; wise dictionary; class; class wise ... See more keywords