Group Sparse Representation Approach for Recognition of Cattle on Muzzle Point Images
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Parallel Programming"
DOI: 10.1007/s10766-017-0550-x
Abstract: The usage of computer vision adds a new paradigm in the field of animal biometric, and has recently received more attention due to the growing importance of identification and tracking of animal species or individual… read more here.
Keywords: muzzle point; recognition; group sparse; approach ... See more keywords
A new complex valued dictionary learning method for group-sparse representation
Sign Up to like & getrecommendations! Published in 2019 at "Optik"
DOI: 10.1016/j.ijleo.2019.163150
Abstract: Abstract Sparse representation is widely used in signal restoration, compression, and so on. And the admiring results got from sparse representation are based on the intelligent dictionary learned from the signals to be represented. The… read more here.
Keywords: group sparse; method; complex valued; sparse representation ... See more keywords
A group sparse representation method in frequency domain with adaptive parameters optimization of detecting incipient rolling bearing fault
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2019.114931
Abstract: Abstract The periodic impulses are the most important signatures of rolling bearing failure, which are often buried by excessive background noise. It is challenging to extract the incipient periodic impulses in the vibration fault signal.… read more here.
Keywords: fault; method; group sparse; rolling bearing ... See more keywords
Optimal periodicity-enhanced group sparse for bearing incipient fault feature extraction
Sign Up to like & getrecommendations! Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/accc4c
Abstract: Efficient and automatic fault feature extraction of rotating machinery, especially for incipient faults is a challenging task of great significance. In this article, an optimal periodicity-enhanced group sparse method is proposed. Firstly, a period sequence… read more here.
Keywords: group; fault feature; group sparse; periodicity ... See more keywords
Image Compressive Sensing Reconstruction Based on z-Score Standardized Group Sparse Representation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2927009
Abstract: Non-local similarity-based group sparse representation (GSR) has shown great potential in image restoration. Considering the universal existing non-stationarity of natural images and the statistic characteristic differences of different components in the sparse domain of image… read more here.
Keywords: sparse representation; group sparse; image;
Clustering Group-Sparse Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3205667
Abstract: Group-sparse mode decomposition (GSMD) is a novel signal decomposition algorithm based on the concept of group sparse. It is fast, robust against noise, and has good anti-mode aliasing performance, and these characteristics show that it… read more here.
Keywords: group sparse; mode decomposition; decomposition; fault ... See more keywords
A Linearly Involved Generalized Moreau Enhancement of ℓ2, 1-Norm with Application to Weighted Group Sparse Classification
Sign Up to like & getrecommendations! Published in 2021 at "Algorithms"
DOI: 10.3390/a14110312
Abstract: This paper proposes a new group-sparsity-inducing regularizer to approximate ℓ2,0 pseudo-norm. The regularizer is nonconvex, which can be seen as a linearly involved generalized Moreau enhancement of ℓ2,1-norm. Moreover, the overall convexity of the corresponding… read more here.
Keywords: group; classification; weighted group; linearly involved ... See more keywords
Multi-Color Channels Based Group Sparse Model for Image Restoration
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15060176
Abstract: The group sparse representation (GSR) model combines local sparsity and nonlocal similarity in image processing, and achieves excellent results. However, the traditional GSR model and all subsequent improved GSR models convert the RGB space of… read more here.
Keywords: group sparse; color; color channels; multi color ... See more keywords
Efficiency of Orthogonal Matching Pursuit for Group Sparse Recovery
Sign Up to like & getrecommendations! Published in 2023 at "Axioms"
DOI: 10.3390/axioms12040389
Abstract: We propose the Group Orthogonal Matching Pursuit (GOMP) algorithm to recover group sparse signals from noisy measurements. Under the group restricted isometry property (GRIP), we prove the instance optimality of the GOMP algorithm for any… read more here.
Keywords: orthogonal matching; group; group sparse; matching pursuit ... See more keywords