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Infrared Dim Small Target Detection Based on Nonconvex Constraint with L1–L2 Norm and Total Variation.
Publication Type: Academic Journal
Source(s): Remote Sensing. Jul2023, Vol. 15 Issue 14, p3513. 23p.
Abstract: Infrared dim small target detection has received a lot of attention, because it is a crucial component of the IR search and track systems (IRST). The robust principal component analysis (RPCA) is a common detection framework, which works with poor perf...
Effectiveness of specularity removal from hyperspectral images in the colour spectral measurement of wool fibres.
Publication Type: Academic Journal
Source(s): IET Image Processing (Wiley-Blackwell). 9/18/2023, Vol. 17 Issue 11, p3143-3152. 10p.
Abstract: Microscopic hyperspectral imaging technology is a potential non‐destructive and non‐contact method for colour measurement of micrometre‐sized textile fibres. However, specularity on the fibre surface can distort the accurate colour information and affe...
Research on Mixed Matrix Estimation Algorithm Based on Improved Sparse Representation Model in Underdetermined Blind Source Separation System.
Publication Type: Academic Journal
Source(s): Electronics (2079-9292). Jan2023, Vol. 12 Issue 2, p456. 21p.
Abstract: The estimation accuracy of the mixed matrix is very important to the performance of the underdetermined blind source separation (UBSS) system. To improve the estimation accuracy of the mixed matrix, the sparsity of the mixed signal is required. The nov...
Sparsity assisted intelligent recognition method for vibration-based machinery health diagnostics.
Publication Type: Academic Journal
Source(s): Journal of Vibration & Control. Sep2023, Vol. 29 Issue 17/18, p4230-4241. 12p.
Abstract: Vibration-based health diagnostics technique has shown great potentials to enhance the safety and reliability for many industrial rotary machinery. The emerging sparse representation classification (SRC) paradigm provides a promising tool for intellige...
An evolutionary algorithm based on rank-1 approximation for sparse large-scale multi-objective problems.
Publication Type: Academic Journal
Source(s): Soft Computing - A Fusion of Foundations, Methodologies & Applications. Nov2023, Vol. 27 Issue 21, p15853-15871. 19p.
Abstract: Most existing evolutionary algorithms encounter difficulties in dealing with multi-objective problems (MOPs) whose Pareto optimal solutions are sparse, especially when the decision space of the MOP is large. Most existing sparse evolutionary algorithms...
Sparse Approximation of the Precision Matrices for the Wide-Swath Altimeters.
Publication Type: Academic Journal
Source(s): Remote Sensing. Jun2022, Vol. 14 Issue 12, pN.PAG-N.PAG. 11p.
Abstract: The upcoming technology of wide-swath altimetry from space will deliver a large volume of data on the ocean surface at unprecedentedly high spatial resolution. These data are contaminated by errors caused by the uncertainties in the geometry and orient...
Multiview Clustering of Adaptive Sparse Representation Based on Coupled P Systems.
Publication Type: Academic Journal
Source(s): Entropy. Apr2022, Vol. 24 Issue 4, p568-568. 23p.
Abstract: A multiview clustering (MVC) has been a significant technique to dispose data mining issues. Most of the existing studies on this topic adopt a fixed number of neighbors when constructing the similarity matrix of each view, like single-view clustering....
Rate-optimal sparse approximation of compact break-of-scale embeddings.
Publication Type: Academic Journal
Source(s): Applied & Computational Harmonic Analysis. Jul2023, Vol. 65, p40-66. 27p.
Abstract: The paper is concerned with the sparse approximation of functions having hybrid regularity borrowed from the theory of solutions to electronic Schrödinger equations due to Yserentant (2004) [42]. We use hyperbolic wavelets to introduce corresponding ne...
Sparse inversion-based seismic random noise attenuation via self-paced learning.
Publication Type: Academic Journal
Source(s): Artificial Intelligence in Geosciences. 2021, p223-233. 11p.
Abstract: Seismic random noise reduction is an important task in seismic data processing at the Chinese loess plateau area, which benefits the geologic structure interpretation and further reservoir prediction. The sparse inversion is one of the widely used tool...
Sparse Approximations with Interior Point Methods.
Publication Type: Academic Journal
Source(s): SIAM Review. 2022, Vol. 64 Issue 4, p954-988. 35p.
Abstract: Large-scale optimization problems that seek sparse solutions have become ubiquitous. They are routinely solved with various specialized first-order methods. Although such methods are often fast, they usually struggle with not-so-well-conditioned proble...