Zobrazeno 1 - 10
of 1 207
pro vyhledávání: '"group sparsity"'
Autor:
Hyeryn Park, Changhee Lee
Publikováno v:
IEEE Access, Vol 12, Pp 102299-102312 (2024)
Identifying features significantly influencing the target outcome is crucial for understanding complex relationships, reducing computational costs, and improving model generalization in high-dimensional data. While powerful for discovering intricate
Externí odkaz:
https://doaj.org/article/a51e8a2dec35439798617016e366ae64
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7592-7607 (2024)
Three-dimensional (3-D) through-the-wall imaging is a challenging topic. It has attracted some research attention in recent years. The 3-D structure is hard to reconstruct because of the limited measurement in the computerized tomography (CT)-mode im
Externí odkaz:
https://doaj.org/article/a8b2e8c7ba8e4970a83682a1d36395d7
Autor:
Cheng Zhang, Kin Sam Yen
Publikováno v:
IEEE Access, Vol 12, Pp 19145-19157 (2024)
The Total Generalized Variation (TGV) model proves effective in removing texture and background patterns in natural images while suppressing the staircase effect introduced by traditional Total Variation (TV) regularization. Nevertheless, TGV falls s
Externí odkaz:
https://doaj.org/article/7d008156f07e41bfb8f7288a9aeb4beb
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-20 (2023)
Abstract In this paper, two approaches are proposed for estimating the direction of arrival (DOA) and power spectral density (PSD) of stationary point sources by using a single, rotating, directional microphone. These approaches are based on a method
Externí odkaz:
https://doaj.org/article/dc8dac81ff5a4094a40a6280f030cd84
Publikováno v:
Image Analysis and Stereology, Vol 43, Iss 1 (2024)
The acquisition and transmission of magnetic resonance images are susceptible to noise, particularly impulse noise. Although the method based on the ℓ0-norm and overlapping group sparse total variation (ℓ0-OGSTV) is effective for impulse noise im
Externí odkaz:
https://doaj.org/article/45e8c5eddd3a4e29a572bee9cf2b94b9
Publikováno v:
Applied Mathematics in Science and Engineering, Vol 31, Iss 1 (2023)
Full waveform inversion (FWI) can provide an accurate velocity model by matching observed and simulated seismograms. Mathematically, FWI is a highly ill-posed inverse problem that the observed data are independent of the model and cannot be inverted
Externí odkaz:
https://doaj.org/article/bdafb18d4968403395da34dd5a122334
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
The Group Sparse Representation (GSR) model shows excellent potential in various image restoration tasks. In this study, we propose a novel Multi-Scale Group Sparse Residual Constraint Model (MS-GSRC) which can be applied to various inverse problems,
Externí odkaz:
https://doaj.org/article/935f08bd635541699270a8d060c823ff
Autor:
Charles Saunders, Vivek K Goyal
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 4, Pp 275-283 (2023)
Penalty functions or regularization terms that promote structured solutions to optimization problems are of great interest in many fields. We introduce MEGS, a nonconvex structured sparsity penalty that promotes mutual exclusivity between components
Externí odkaz:
https://doaj.org/article/24780e47f24f408dab8d39c6b2d5dead
Publikováno v:
IEEE Access, Vol 11, Pp 24281-24298 (2023)
Morph detection is of paramount significance when the integrity of Automatic Face Recognition (AFR) systems is concerned. Considering the risks incurred by morphing attacks, a robust automated morph detector is required which can distinguish authenti
Externí odkaz:
https://doaj.org/article/9d9c528f7d144a199aee3ef3c3110177
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