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Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis
Peng, Jialin, Zhu, Xiaofeng, Wang, Ye, An, Le, Shen, Dinggang
Published in Pattern recognition (01.04.2019)
Published in Pattern recognition (01.04.2019)
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Locality regularized reconstruction: structured sparsity and Delaunay triangulations
Mueller, Marshall, Murphy, James M., Tasissa, Abiy
Published in Sampling theory, signal processing, and data analysis (01.12.2025)
Published in Sampling theory, signal processing, and data analysis (01.12.2025)
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Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Jenatton, Rodolphe, Gramfort, Alexandre, Michel, Vincent, Obozinski, Guillaume, Eger, Evelyn, Bach, Francis, Thirion, Bertrand
Published in SIAM journal on imaging sciences (10.07.2012)
Published in SIAM journal on imaging sciences (10.07.2012)
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Sparse regularization techniques provide novel insights into outcome integration processes
Mohr, Holger, Wolfensteller, Uta, Frimmel, Steffi, Ruge, Hannes
Published in NeuroImage (Orlando, Fla.) (01.01.2015)
Published in NeuroImage (Orlando, Fla.) (01.01.2015)
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Denoising phonogram cylinders recordings using Structured Sparsity
Mach, Vaclav
Published in International Conference on Ultra Modern Telecommunications & workshops (01.10.2015)
Published in International Conference on Ultra Modern Telecommunications & workshops (01.10.2015)
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Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity
de Pierrefeu, Amicie, Lofstedt, Tommy, Laidi, Charles, Hadj-Selem, Fouad, Leboyer, Marion, Ciuciu, Philippe, Houenou, Josselin, Duchesnay, Edouard
Published in 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI) (01.06.2018)
Published in 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI) (01.06.2018)
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Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity
Jenatton, R., Gramfort, A., Michel, V., Obozinski, G., Bach, F., Thirion, B.
Published in 2011 International Workshop on Pattern Recognition in Neuroimaging (01.05.2011)
Published in 2011 International Workshop on Pattern Recognition in Neuroimaging (01.05.2011)
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A framework for low-complexity signal recovery and its application to structured sparsity
Traonmilin, Yann, Gribonval, Remi
Published in 2016 IEEE Information Theory Workshop (ITW) (01.09.2016)
Published in 2016 IEEE Information Theory Workshop (ITW) (01.09.2016)
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Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Jenatton, Rodolphe, Gramfort, Alexandre, Michel, Vincent, Obozinski, Guillaume, Eger, Evelyn, Bach, Francis, Thirion, Bertrand
Year of Publication 02.05.2011
Year of Publication 02.05.2011
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TARO: tree-aggregated factor regression for microbiome data integration
Mishra, Aditya K, Mahmud, Iqbal, Lorenzi, Philip L, Jenq, Robert R, Wargo, Jennifer A, Ajami, Nadim J, Peterson, Christine B
Published in Bioinformatics (Oxford, England) (03.06.2024)
Published in Bioinformatics (Oxford, England) (03.06.2024)
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Sparse representations and compressive sampling approaches in engineering mechanics: A review of theoretical concepts and diverse applications
Kougioumtzoglou, Ioannis A., Petromichelakis, Ioannis, Psaros, Apostolos F.
Published in Probabilistic engineering mechanics (01.07.2020)
Published in Probabilistic engineering mechanics (01.07.2020)
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