Improved sparse representation algorithm for optical coherence tomography images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22711
Abstract: An improved sparse representation algorithm is proposed for reducing speckle noise in optical coherence tomography (OCT) images. To reduce the dictionary training time, the orthogonal matching pursuit algorithm (OMP) is replaced by a piecewise orthogonal… read more here.
Keywords: optical coherence; improved sparse; representation algorithm; sparse representation ... See more keywords
Class metric regularized deep belief network with sparse representation for fault diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22831
Abstract: This paper proposes a joint class metric and sparse representation regularized deep belief network (J‐DBN) method for intelligent fault diagnosis of the rotary equipment. In this novel method, the joint class metric and sparse representation… read more here.
Keywords: sparse representation; fault diagnosis; class metric; class ... 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
A Transform Domain Implementation of Sparse Representation Method for Robust Face Recognition
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01099-w
Abstract: Recently, a new discriminative sparse representation method for robust face recognition via $$\textit{l}_2$$l2 regularization (NDSRFR) was reported. In this contribution, a transform domain (TDNDSRFR) is presented. The discrete cosine transform implementation of the TDNDSRFR is… read more here.
Keywords: face; method robust; transform; representation method ... See more keywords
Sparse representation-based classification using generalized weighted extended dictionary
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2064-7
Abstract: Sparse representation-based classification (SRC) has been a breakthrough of face recognition and signal reconstruction recently. However, few face images from the same subject provide insufficient observations. Meanwhile, owing to uncertainty of training images with variations… read more here.
Keywords: classification; sparse representation; training; training samples ... See more keywords
SAR image edge detection via sparse representation
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2505-y
Abstract: In this paper, we propose a new synthetic aperture radar (SAR) image detection algorithm based on the de-noising algorithm via the sparse representation and a new morphology edge detector. Firstly, we apply the Shearlet transform… read more here.
Keywords: sparse representation; detection; sar image; edge ... See more keywords
Exploiting label consistency in structured sparse representation for classification
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3479-0
Abstract: Sparse representation with adaptive dictionaries has emerged as a promising tool in computer vision and pattern analysis. While standard sparsity promoted by $$\ell _0$$ℓ0 or $$\ell _1$$ℓ1 regularization has been widely used, recent approaches seek… read more here.
Keywords: consistency; sparse representation; sparsity; label consistency ... See more keywords
Perceiving spatiotemporal traffic anomalies from sparse representation-modeled city dynamics
Sign Up to like & getrecommendations! Published in 2020 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-020-01474-4
Abstract: Early perception of anomaly traffic patterns, both spatially and temporally, is of importance for emergency response in the smart cities. To capture the spatiotemporal correlations among traffic flows for city dynamics modeling in correspondence with… read more here.
Keywords: traffic; spatiotemporal traffic; city; city dynamics ... See more keywords
Abel’s integral operator: sparse representation based on multiwavelets
Sign Up to like & getrecommendations! Published in 2021 at "Bit Numerical Mathematics"
DOI: 10.1007/s10543-020-00832-1
Abstract: In this work, Abel’s integral operator is represented based on Alpert’s multiwavelets as a sparse matrix and then a non-linear Abel’s integral equation of the second kind is solved by multiwavelets Galerkin method. Nonlinearity and… read more here.
Keywords: representation based; integral operator; abel integral; operator sparse ... See more keywords
Machine prognostics based on sparse representation model
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-015-1107-8
Abstract: The prognostic technologies for machines refer to the estimation of machines’ remaining useful life using monitoring data from sensors. Different from traditional maintenance strategies, this maintenance strategy can reduce downtime, maintenance costs and critical risks.… read more here.
Keywords: sparse representation; machine prognostics; representation model;
Visual tracking based on hierarchical framework and sparse representation
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5198-4
Abstract: As the main challenge for object tracking is to account for drastic appearance change, a hierarchical framework that exploits the strength of both generative and discriminative models is devised in this paper. Our hierarchical framework… read more here.
Keywords: sparse representation; model; visual tracking; hierarchical framework ... See more keywords