NSTL国家科技图书文献中心

1. Rethinking Unsupervised Outlier Detection via Multiple Thresholding NSTL国家科技图书文献中心

Zhonghang Liu | Panzhong Lu ... - 《Computer Vision - ECCV 2024,Part XVIII》 - European Conference on Computer Vision - 2025, - 258～275 - 共18页

摘要： significance than its subsequent task: thresholding* for* | a multiple thresholding* (Multi-T) module. It* | threshold on non-separable outlier score functions is an | generates two thresholds* that isolate inliers and outliers* | In the realm of unsupervised image outlier

关键词： Unsupervised outlier detection | Multiple thresholding | Outlier scoring

2. Bayesian Regularized Iterative Soft Thresholding Algorithm NSTL国家科技图书文献中心

Nicolas Cutrona | Dominique Guillot - 《Advances in Artificial Intelligence》 - Ibero-American Conference on Artificial Intelligence - 2025, - 310～322 - 共13页

摘要：-Thresholding* Algorithm (BARISTA), which includes both l_1 and* | efficiently optimized using Iterative Shrinkage-Thresholding | Thresholding Algorithm (FISTA) can be used to further | Weighted Naive Bayes methods have recently | been developed to alleviate the strong conditional

关键词： Naive bayes | Convex optimization | Soft thresholding

3. Hybrid Thresholding for Image Deconvolution in Expectation Maximization framework NSTL国家科技图书文献中心

Ravi Pratap Singh | Manoj Kumar Singh - 《The imaging science journal》 - 2025,73(1/2) - 227～244 - 共18页

摘要： thresholding scheme that integrates conventional hard and | with traditional hard and soft thresholding* schemes* | soft thresholds. This hybrid threshold* ameliorates* | variance of the proposed hybrid threshold* are derived and* | In this study, we proposed an image

关键词： Expectation-maxi mization | hard thresholding | image deconvolution | regularization | soft thresholding | wavelet | deblurring | risk analysis

4. Automated Design of Multilevel Thresholding Using Differential Evolution NSTL国家科技图书文献中心

Thambo Nyathi - 《Artificial Intelligence and Soft Computing,Part II》 - International Conference on Artificial Intelligence and Soft Computing - 2025, - 66～78 - 共13页

摘要： thresholding, which involves classifying pixels based on | approach for image thresholding. The proposed method is a | be efficiently utilised for multilevel thresholding | threshold values becomes complex as the number of | their intensity values. Determining a single threshold

关键词： Genetic algorithm | Multilevel thresholding | Differential evolution | Automated design

5. Convergence on Thresholding-Based Algorithms for Dictionary-Sparse Recovery NSTL国家科技图书文献中心

Yusu,Hong | Junhong,Lin - 《The journal of fourier analysis and applications》 - 2025,31(1) - 共47页

摘要：}-synthesis/analysis methods and the thresholding-based | propose heavy-ball iterative hard thresholding | }}$$end{document}-HTP (hard thresholding* pursuit adapted* | Abstract We study l0documentclass[12pt | ]{minimal} usepackage{amsmath} usepackage{wasysym

关键词： Dictionary sparse recovery | Acceleration | Iterative hard thresholding | Hard thresholding pursuit | Restricted isometry property

6. Dynamic thresholding algorithm with memory for linear inverse problems NSTL国家科技图书文献中心

Sun, Zhong-Feng | Zhao, Yun-Bin ... - 《Inverse Problems》 - 2025,41(1) - 共28页

摘要：The relaxed optimal k-thresholding* pursuit* | -thresholding* technique which performs vector thresholding and* | merging the optimal k-thresholding* technique and* | dynamic thresholding* algorithm with memory (DTAM), which* | to several mainstream thresholding* and greedy*

关键词： linear inverse problems | thresholding algorithm | restricted isometry property | signal reconstruction | image denoising

7. Sparse recovery using expanders via hard thresholding algorithm NSTL国家科技图书文献中心

Wen, Kun-Kai | He, Jia-Xin ... - 《Signal Processing》 - 2025,227 - 共10页

摘要： thresholding algorithm (ENHB-HT) based on expander iterative | hard thresholding* (E-IHT) algorithm. We provide* | Expanders play an important role in | combinatorial compressed sensing. Via expanders measurements | , we propose the expander normalized heavy ball hard

关键词： Combinatorial compressed sensing | Sparse signal recovery | Heavy ball method | Lossless expanders | Hard thresholding

8. Optical image analysis of WSe2-thresholding for layer detection NSTL国家科技图书文献中心

Sahriar, Miah Abdull... | Rumman, Abdul Hamid ... - 《Computational Materials Science》 - 2025,253 - 共8页

摘要： thresholding methodology designed to segment the mono, bi | thresholds for layer segmentation: monolayer (111.0-118.0 | ). Similarly, thresholds* were established for each color* | The fast and reliable layer identification of | two-dimensional transition metal dichalcogenide (TMD

关键词： 2D Materials | Transition Metal Dichalcogenide (TMD) | Image Segmentation | Thresholding | WSe2

9. Comparison of data-driven thresholding methods using directed functional brain networks NSTL国家科技图书文献中心

Manickam, Thilaga | Ramasamy, Vijayalaks...... - 《Reviews in the neurosciences》 - 2025,36(2) - 119～138 - 共20页

摘要： connected networks using a process called thresholding | thresholding methods to gather more insights about the | various thresholding* methods used in the literature for* | thresholding methods, namely minimum spanning tree (MST | both MCC and OMST thresholding* methods can detect*

关键词： cognition | electroencephalography | functional brain network | graph theory | thresholding

10. Segmentation of breast lesion using fuzzy thresholding and deep learning NSTL国家科技图书文献中心

Sahaya Pushpa Sarmil... | Inbamalar T.M.... - 《Computers in Biology and Medicine》 - 2025,184 - 109406～109406 - 共12页

摘要： segment the lesions are: i) Fuzzy C-mean Thresholding | image, and the fuzzy thresholded* image. In this study* | © 2024 Elsevier LtdBreast cancer is a major | cause of morbidity and mortality in women. In breast | cancer screening, Dynamic Contrast Enhanced Magnetic

摘要： significance than its subsequent task: thresholding* for* | a multiple thresholding* (Multi-T) module. It* | threshold on non-separable outlier score functions is an | generates two thresholds* that isolate inliers and outliers* | In the realm of unsupervised image outlier

关键词： Unsupervised outlier detection | Multiple thresholding | Outlier scoring

摘要：-Thresholding* Algorithm (BARISTA), which includes both l_1 and* | efficiently optimized using Iterative Shrinkage-Thresholding | Thresholding Algorithm (FISTA) can be used to further | Weighted Naive Bayes methods have recently | been developed to alleviate the strong conditional

关键词： Naive bayes | Convex optimization | Soft thresholding

摘要： thresholding scheme that integrates conventional hard and | with traditional hard and soft thresholding* schemes* | soft thresholds. This hybrid threshold* ameliorates* | variance of the proposed hybrid threshold* are derived and* | In this study, we proposed an image

关键词： Expectation-maxi mization | hard thresholding | image deconvolution | regularization | soft thresholding | wavelet | deblurring | risk analysis

摘要： thresholding, which involves classifying pixels based on | approach for image thresholding. The proposed method is a | be efficiently utilised for multilevel thresholding | threshold values becomes complex as the number of | their intensity values. Determining a single threshold

关键词： Genetic algorithm | Multilevel thresholding | Differential evolution | Automated design

摘要：}-synthesis/analysis methods and the thresholding-based | propose heavy-ball iterative hard thresholding | }}$$end{document}-HTP (hard thresholding* pursuit adapted* | Abstract We study l0documentclass[12pt | ]{minimal} usepackage{amsmath} usepackage{wasysym

关键词： Dictionary sparse recovery | Acceleration | Iterative hard thresholding | Hard thresholding pursuit | Restricted isometry property

摘要：The relaxed optimal k-thresholding* pursuit* | -thresholding* technique which performs vector thresholding and* | merging the optimal k-thresholding* technique and* | dynamic thresholding* algorithm with memory (DTAM), which* | to several mainstream thresholding* and greedy*

关键词： linear inverse problems | thresholding algorithm | restricted isometry property | signal reconstruction | image denoising

摘要： thresholding algorithm (ENHB-HT) based on expander iterative | hard thresholding* (E-IHT) algorithm. We provide* | Expanders play an important role in | combinatorial compressed sensing. Via expanders measurements | , we propose the expander normalized heavy ball hard

关键词： Combinatorial compressed sensing | Sparse signal recovery | Heavy ball method | Lossless expanders | Hard thresholding

摘要： thresholding methodology designed to segment the mono, bi | thresholds for layer segmentation: monolayer (111.0-118.0 | ). Similarly, thresholds* were established for each color* | The fast and reliable layer identification of | two-dimensional transition metal dichalcogenide (TMD

关键词： 2D Materials | Transition Metal Dichalcogenide (TMD) | Image Segmentation | Thresholding | WSe2

摘要： connected networks using a process called thresholding | thresholding methods to gather more insights about the | various thresholding* methods used in the literature for* | thresholding methods, namely minimum spanning tree (MST | both MCC and OMST thresholding* methods can detect*

关键词： cognition | electroencephalography | functional brain network | graph theory | thresholding

摘要： segment the lesions are: i) Fuzzy C-mean Thresholding | image, and the fuzzy thresholded* image. In this study* | © 2024 Elsevier LtdBreast cancer is a major | cause of morbidity and mortality in women. In breast | cancer screening, Dynamic Contrast Enhanced Magnetic

关键词： Anisotropic diffusion filter | Breast lesion | DeepLabV3+ | Fuzzy C-Mean cluster | SegNet | Thresholding

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： significance than its subsequent task: thresholding for | a multiple thresholding (Multi-T) module. It | threshold on non-separable outlier score functions is an | generates two thresholds that isolate inliers and outliers | In the realm of unsupervised image outlier

关键词： Unsupervised outlier detection | Multiple thresholding | Outlier scoring

摘要：-Thresholding Algorithm (BARISTA), which includes both l_1 and | efficiently optimized using Iterative Shrinkage-Thresholding | Thresholding Algorithm (FISTA) can be used to further | Weighted Naive Bayes methods have recently | been developed to alleviate the strong conditional

关键词： Naive bayes | Convex optimization | Soft thresholding

摘要： thresholding scheme that integrates conventional hard and | with traditional hard and soft thresholding schemes | soft thresholds. This hybrid threshold ameliorates | variance of the proposed hybrid threshold are derived and | In this study, we proposed an image

关键词： Expectation-maxi mization | hard thresholding | image deconvolution | regularization | soft thresholding | wavelet | deblurring | risk analysis

摘要： thresholding, which involves classifying pixels based on | approach for image thresholding. The proposed method is a | be efficiently utilised for multilevel thresholding | threshold values becomes complex as the number of | their intensity values. Determining a single threshold

关键词： Genetic algorithm | Multilevel thresholding | Differential evolution | Automated design

摘要：}-synthesis/analysis methods and the thresholding-based | propose heavy-ball iterative hard thresholding | }}$$end{document}-HTP (hard thresholding pursuit adapted | Abstract We study l0documentclass[12pt | ]{minimal} usepackage{amsmath} usepackage{wasysym

关键词： Dictionary sparse recovery | Acceleration | Iterative hard thresholding | Hard thresholding pursuit | Restricted isometry property

摘要：The relaxed optimal k-thresholding pursuit | -thresholding technique which performs vector thresholding and | merging the optimal k-thresholding technique and | dynamic thresholding algorithm with memory (DTAM), which | to several mainstream thresholding and greedy

关键词： linear inverse problems | thresholding algorithm | restricted isometry property | signal reconstruction | image denoising

摘要： thresholding algorithm (ENHB-HT) based on expander iterative | hard thresholding (E-IHT) algorithm. We provide | Expanders play an important role in | combinatorial compressed sensing. Via expanders measurements | , we propose the expander normalized heavy ball hard

关键词： Combinatorial compressed sensing | Sparse signal recovery | Heavy ball method | Lossless expanders | Hard thresholding

摘要： thresholding methodology designed to segment the mono, bi | thresholds for layer segmentation: monolayer (111.0-118.0 | ). Similarly, thresholds were established for each color | The fast and reliable layer identification of | two-dimensional transition metal dichalcogenide (TMD

关键词： 2D Materials | Transition Metal Dichalcogenide (TMD) | Image Segmentation | Thresholding | WSe2

摘要： connected networks using a process called thresholding | thresholding methods to gather more insights about the | various thresholding methods used in the literature for | thresholding methods, namely minimum spanning tree (MST | both MCC and OMST thresholding methods can detect

关键词： cognition | electroencephalography | functional brain network | graph theory | thresholding

摘要： segment the lesions are: i) Fuzzy C-mean Thresholding | image, and the fuzzy thresholded image. In this study | © 2024 Elsevier LtdBreast cancer is a major | cause of morbidity and mortality in women. In breast | cancer screening, Dynamic Contrast Enhanced Magnetic

关键词： Anisotropic diffusion filter | Breast lesion | DeepLabV3+ | Fuzzy C-Mean cluster | SegNet | Thresholding

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： significance than its subsequent task: thresholding* for* | a multiple thresholding* (Multi-T) module. It* | threshold on non-separable outlier score functions is an | generates two thresholds* that isolate inliers and outliers* | In the realm of unsupervised image outlier

摘要：-Thresholding* Algorithm (BARISTA), which includes both l_1 and* | efficiently optimized using Iterative Shrinkage-Thresholding | Thresholding Algorithm (FISTA) can be used to further | Weighted Naive Bayes methods have recently | been developed to alleviate the strong conditional

摘要： thresholding scheme that integrates conventional hard and | with traditional hard and soft thresholding* schemes* | soft thresholds. This hybrid threshold* ameliorates* | variance of the proposed hybrid threshold* are derived and* | In this study, we proposed an image

摘要：}-synthesis/analysis methods and the thresholding-based | propose heavy-ball iterative hard thresholding | }}$$end{document}-HTP (hard thresholding* pursuit adapted* | Abstract We study l0documentclass[12pt | ]{minimal} usepackage{amsmath} usepackage{wasysym

摘要：The relaxed optimal k-thresholding* pursuit* | -thresholding* technique which performs vector thresholding and* | merging the optimal k-thresholding* technique and* | dynamic thresholding* algorithm with memory (DTAM), which* | to several mainstream thresholding* and greedy*

摘要： thresholding algorithm (ENHB-HT) based on expander iterative | hard thresholding* (E-IHT) algorithm. We provide* | Expanders play an important role in | combinatorial compressed sensing. Via expanders measurements | , we propose the expander normalized heavy ball hard

摘要： thresholding methodology designed to segment the mono, bi | thresholds for layer segmentation: monolayer (111.0-118.0 | ). Similarly, thresholds* were established for each color* | The fast and reliable layer identification of | two-dimensional transition metal dichalcogenide (TMD

摘要： connected networks using a process called thresholding | thresholding methods to gather more insights about the | various thresholding* methods used in the literature for* | thresholding methods, namely minimum spanning tree (MST | both MCC and OMST thresholding* methods can detect*

摘要： segment the lesions are: i) Fuzzy C-mean Thresholding | image, and the fuzzy thresholded* image. In this study* | © 2024 Elsevier LtdBreast cancer is a major | cause of morbidity and mortality in women. In breast | cancer screening, Dynamic Contrast Enhanced Magnetic