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1دورية أكاديمية
المؤلفون: Ollila, Esa
مصطلحات موضوعية: Statistics - Methodology
العلاقة: http://arxiv.org/abs/2401.13975Test
الإتاحة: http://arxiv.org/abs/2401.13975Test
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2دورية أكاديمية
المساهمون: Office of Naval Research
المصدر: Signal Processing ; volume 220, page 109461 ; ISSN 0165-1684
مصطلحات موضوعية: Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing, Software, Control and Systems Engineering
الإتاحة: https://doi.org/10.1016/j.sigpro.2024.109461Test
https://api.elsevier.com/content/article/PII:S016516842400080X?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S016516842400080X?httpAccept=text/plainTest -
3دورية أكاديمية
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4دورية أكاديمية
المساهمون: Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry ), Aalto University, Géolithe Alpes, Groupe Géolithe
المصدر: ISSN: 0196-2892 ; IEEE Transactions on Geoscience and Remote Sensing ; https://hal.science/hal-04075772Test ; IEEE Transactions on Geoscience and Remote Sensing, In press, ⟨10.1109/TGRS.2023.3268477⟩ ; https://ieeexplore.ieee.org/document/10105622Test.
مصطلحات موضوعية: Ground Penetrating Radar, Sparse Inversion, Convolutive Model, Robust methods, Dictionaries, Radar, Signal to noise ratio, Radar imaging, Signal processing algorithms, Shape, Radar antennas, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
العلاقة: hal-04075772; https://hal.science/hal-04075772Test; https://hal.science/hal-04075772/documentTest; https://hal.science/hal-04075772/file/New_Robust_Sparse_Convolutional_Coding_Inversion_Algorithm_for_Ground_Penetrating_Radar_Images.pdfTest
الإتاحة: https://doi.org/10.1109/TGRS.2023.3268477Test
https://hal.science/hal-04075772Test
https://hal.science/hal-04075772/documentTest
https://hal.science/hal-04075772/file/New_Robust_Sparse_Convolutional_Coding_Inversion_Algorithm_for_Ground_Penetrating_Radar_Images.pdfTest -
5دورية أكاديمية
المؤلفون: Ollila, Esa, Palomar, Daniel, Pascal, Frédéric
المساهمون: Department of Electrical Engineering and Automation Aalto University, Aalto University, Department of Computer Science and Engineering HKUST (CSE), Hong Kong University of Science and Technology (HKUST), Laboratoire des signaux et systèmes (L2S), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
المصدر: ISSN: 1070-9908.
مصطلحات موضوعية: Tyler's M-estimator scatter matrix covariance matrix elliptical distributions, Tyler's M-estimator, scatter matrix, covariance matrix, elliptical distributions, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [STAT.ME]Statistics [stat]/Methodology [stat.ME]
العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2305.04330; hal-04366796; https://hal.science/hal-04366796Test; https://hal.science/hal-04366796/documentTest; https://hal.science/hal-04366796/file/2305.04330.pdfTest; ARXIV: 2305.04330
الإتاحة: https://doi.org/10.1109/LSP.2023.3301341Test
https://hal.science/hal-04366796Test
https://hal.science/hal-04366796/documentTest
https://hal.science/hal-04366796/file/2305.04330.pdfTest -
6دورية أكاديمية
المؤلفون: Wang, Xinjue, Ollila, Esa, Vorobyov, Sergiy A.
المساهمون: Department of Information and Communications Engineering, Esa Ollila Group, Sergiy Vorobyov Group, Aalto-yliopisto, Aalto University
مصطلحات موضوعية: fused LASSO, Kruskal tensor, PARAFAC, Sparsity, tensor regression
وصف الملف: application/pdf
العلاقة: 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023; pp. 441-445; IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing; Wang, X, Ollila, E & Vorobyov, S A 2023, Nonnegative Structured Kruskal Tensor Regression . in 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023 . 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023, IEEE, pp. 441-445, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Herradura, Costa Rica, 10/12/2023 . https://doi.org/10.1109/CAMSAP58249.2023.10403474Test; 979-8-3503-4452-3; PURE UUID: 9f8acb8e-c874-456a-a995-37dfbd2773f7; PURE ITEMURL: https://research.aalto.fi/en/publications/9f8acb8e-c874-456a-a995-37dfbd2773f7Test; PURE LINK: http://www.scopus.com/inward/record.url?scp=85185007454&partnerID=8YFLogxKTest; PURE FILEURL: https://research.aalto.fi/files/140270465/CAMSAP23_Nonnegative_Structured_Kruskal_Tensor_Regression.pdfTest; https://aaltodoc.aalto.fi/handle/123456789/126936Test; URN:NBN:fi:aalto-202403062571
الإتاحة: https://doi.org/10.1109/CAMSAP58249.2023.10403474Test
https://aaltodoc.aalto.fi/handle/123456789/126936Test -
7دورية أكاديمية
المؤلفون: Taştan, Aylin, Muma, Michael, Ollila, Esa, Zoubir, Abdelhak M.
المساهمون: Department of Information and Communications Engineering, Esa Ollila Group, Technische Universität Darmstadt, Aalto-yliopisto, Aalto University
مصطلحات موضوعية: affinity matrix, Block diagonal representation, clustering, spectral clustering, subspace clustering
وصف الملف: 1594-1598; application/pdf
العلاقة: European Signal Processing Conference; 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings; Taştan, A, Muma, M, Ollila, E & Zoubir, A M 2023, Sparsity-Aware Block Diagonal Representation for Subspace Clustering . in 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings . European Signal Processing Conference, European Signal Processing Conference (EUSIPCO), pp. 1594-1598, European Signal Processing Conference, Helsinki, Finland, 04/09/2023 . https://doi.org/10.23919/EUSIPCO58844.2023.10289969Test; PURE UUID: 533a6869-7c23-4930-b1c1-a764b7a5a88b; PURE ITEMURL: https://research.aalto.fi/en/publications/533a6869-7c23-4930-b1c1-a764b7a5a88bTest; PURE LINK: http://www.scopus.com/inward/record.url?scp=85178335105&partnerID=8YFLogxKTest; PURE FILEURL: https://research.aalto.fi/files/130871049/EUSIPCO2023_SABDR.pdfTest; https://aaltodoc.aalto.fi/handle/123456789/125420Test; URN:NBN:fi:aalto-202401041109
الإتاحة: https://doi.org/10.23919/EUSIPCO58844.2023.10289969Test
https://aaltodoc.aalto.fi/handle/123456789/125420Test -
8دورية أكاديمية
المؤلفون: Miettinen, Jari, Vorobyov, Sergiy A., Ollila, Esa, Wang, Xinjue
المساهمون: Sergiy Vorobyov Group, Department of Information and Communications Engineering, Aalto-yliopisto, Aalto University
مصطلحات موضوعية: graph autocorrelation, graph autocovariance, Graph signal processing, graph smoothness measures
وصف الملف: 1848-1852; application/pdf
العلاقة: European Signal Processing Conference; 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings; Miettinen , J , Vorobyov , S A , Ollila , E & Wang , X 2023 , Correlation-based Graph Smoothness Measures In Graph Signal Processing . in 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings . European Signal Processing Conference , European Signal Processing Conference (EUSIPCO) , pp. 1848-1852 , European Signal Processing Conference , Helsinki , Finland , 04/09/2023 . https://doi.org/10.23919/EUSIPCO58844.2023.10289784Test; PURE UUID: 28ac12dc-26bc-493a-9e57-cf91ecfbdb24; PURE ITEMURL: https://research.aalto.fi/en/publications/28ac12dc-26bc-493a-9e57-cf91ecfbdb24Test; PURE LINK: http://www.scopus.com/inward/record.url?scp=85178363701&partnerID=8YFLogxKTest; PURE FILEURL: https://research.aalto.fi/files/130876054/0001848.pdfTest; https://aaltodoc.aalto.fi/handle/123456789/125374Test; URN:NBN:fi:aalto-202401041063
الإتاحة: https://doi.org/10.23919/EUSIPCO58844.2023.10289784Test
https://aaltodoc.aalto.fi/handle/123456789/125374Test -
9دورية أكاديمية
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10دورية أكاديمية