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You searched for subject:(Non negative constraint). Showing records 1 – 4 of 4 total matches.

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York University

1. Qin, Shanshan. Statistical Methods for Complex and/or High Dimensional Data.

Degree: PhD, Mathematics & Statistics, 2020, York University

 This dissertation focuses on the development and implementation of statistical methods for high-dimensional and/or complex data, with an emphasis on p, the number of explanatory… (more)

Subjects/Keywords: Statistics; coordinate descent; cross-validation; difference convex programming; double leave-one-out; feature grouping; feature selection; high-dimensional; matching quantiles; M-estimation; multivariate regression; non-negative constraint; outlier observations; regularization

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APA (6th Edition):

Qin, S. (2020). Statistical Methods for Complex and/or High Dimensional Data. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/37706

Chicago Manual of Style (16th Edition):

Qin, Shanshan. “Statistical Methods for Complex and/or High Dimensional Data.” 2020. Doctoral Dissertation, York University. Accessed May 06, 2021. http://hdl.handle.net/10315/37706.

MLA Handbook (7th Edition):

Qin, Shanshan. “Statistical Methods for Complex and/or High Dimensional Data.” 2020. Web. 06 May 2021.

Vancouver:

Qin S. Statistical Methods for Complex and/or High Dimensional Data. [Internet] [Doctoral dissertation]. York University; 2020. [cited 2021 May 06]. Available from: http://hdl.handle.net/10315/37706.

Council of Science Editors:

Qin S. Statistical Methods for Complex and/or High Dimensional Data. [Doctoral Dissertation]. York University; 2020. Available from: http://hdl.handle.net/10315/37706

2. Nguyen, Viet-Dung. Contribution aux décompositions rapides des matrices et tenseurs : Contributions to fast matrix and tensor decompositions.

Degree: Docteur es, Traitement du signal, 2016, Université d'Orléans

De nos jours, les grandes masses de données se retrouvent dans de nombreux domaines relatifs aux applications multimédia, sociologiques, biomédicales, radio astronomiques, etc. On parle… (more)

Subjects/Keywords: Décompositions rapides des matrices et tenseurs; PARAFAC; Tucker; Big Data; Suivi sous-espace adaptatif; Contrainte clairsemée et non négative; Fast matrix and tensor decompositions; PARAFAC; Tucker; Big Data; Adaptive subspace tracking; Sparse and non-negative constraint; 621.382 20151

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APA (6th Edition):

Nguyen, V. (2016). Contribution aux décompositions rapides des matrices et tenseurs : Contributions to fast matrix and tensor decompositions. (Doctoral Dissertation). Université d'Orléans. Retrieved from http://www.theses.fr/2016ORLE2085

Chicago Manual of Style (16th Edition):

Nguyen, Viet-Dung. “Contribution aux décompositions rapides des matrices et tenseurs : Contributions to fast matrix and tensor decompositions.” 2016. Doctoral Dissertation, Université d'Orléans. Accessed May 06, 2021. http://www.theses.fr/2016ORLE2085.

MLA Handbook (7th Edition):

Nguyen, Viet-Dung. “Contribution aux décompositions rapides des matrices et tenseurs : Contributions to fast matrix and tensor decompositions.” 2016. Web. 06 May 2021.

Vancouver:

Nguyen V. Contribution aux décompositions rapides des matrices et tenseurs : Contributions to fast matrix and tensor decompositions. [Internet] [Doctoral dissertation]. Université d'Orléans; 2016. [cited 2021 May 06]. Available from: http://www.theses.fr/2016ORLE2085.

Council of Science Editors:

Nguyen V. Contribution aux décompositions rapides des matrices et tenseurs : Contributions to fast matrix and tensor decompositions. [Doctoral Dissertation]. Université d'Orléans; 2016. Available from: http://www.theses.fr/2016ORLE2085


Université de Lorraine

3. Nus, Ludivine. Méthodes rapides de traitement d’images hyperspectrales. Application à la caractérisation en temps réel du matériau bois : Fast methods for hyperspectral images processing. Application to the real-time characterization of wood material.

Degree: Docteur es, Automatique, Traitement du signal et des images, Génie informatique, 2019, Université de Lorraine

Cette thèse aborde le démélange en-ligne d’images hyperspectrales acquises par un imageur pushbroom, pour la caractérisation en temps réel du matériau bois. La première partie… (more)

Subjects/Keywords: Démélange hyperspectral en-ligne; Imagerie hyperspectrale pushbroom; Factorisation en matrices non-négatives; Contrainte de volume minimal; Estimation du paramètre de régularisation; Bibliothèque hyperspectrale; Suivi du rang; On-line hyperspectral unmixing; Pushbroom hyperspectral imaging; Non-negative matrix factorization; Minimal volume constraint; Regularization parameter estimation; Hyperspectral library; Rank tracking; 621.367; 006.4

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nus, L. (2019). Méthodes rapides de traitement d’images hyperspectrales. Application à la caractérisation en temps réel du matériau bois : Fast methods for hyperspectral images processing. Application to the real-time characterization of wood material. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2019LORR0163

Chicago Manual of Style (16th Edition):

Nus, Ludivine. “Méthodes rapides de traitement d’images hyperspectrales. Application à la caractérisation en temps réel du matériau bois : Fast methods for hyperspectral images processing. Application to the real-time characterization of wood material.” 2019. Doctoral Dissertation, Université de Lorraine. Accessed May 06, 2021. http://www.theses.fr/2019LORR0163.

MLA Handbook (7th Edition):

Nus, Ludivine. “Méthodes rapides de traitement d’images hyperspectrales. Application à la caractérisation en temps réel du matériau bois : Fast methods for hyperspectral images processing. Application to the real-time characterization of wood material.” 2019. Web. 06 May 2021.

Vancouver:

Nus L. Méthodes rapides de traitement d’images hyperspectrales. Application à la caractérisation en temps réel du matériau bois : Fast methods for hyperspectral images processing. Application to the real-time characterization of wood material. [Internet] [Doctoral dissertation]. Université de Lorraine; 2019. [cited 2021 May 06]. Available from: http://www.theses.fr/2019LORR0163.

Council of Science Editors:

Nus L. Méthodes rapides de traitement d’images hyperspectrales. Application à la caractérisation en temps réel du matériau bois : Fast methods for hyperspectral images processing. Application to the real-time characterization of wood material. [Doctoral Dissertation]. Université de Lorraine; 2019. Available from: http://www.theses.fr/2019LORR0163


University of Houston

4. -2158-7723. On Enforcing Maximum Principles and Element-Wise Species Balance for Advective-Diffusive-Reactive Systems.

Degree: PhD, Civil Engineering, 2015, University of Houston

 This dissertation aims at developing robust numerical methodologies to solve advective-diffusive-reactive systems that provide accurate and physical solutions for a wide range of input data… (more)

Subjects/Keywords: Advection-diffusion-reaction equations; Non-self-adjoint operators; Comparison principles; Maximum principle; Non-negative constraint; Monotone property; Monotonicity; Local and global species balance; Oscillatory chemical reactions; Chaotic mixing; Mesh restrictions; Anisotropic M-uniform meshes; Angle conditions; Least-squares mixed formulations; Convex optimization; Pao's method; Picard's method; Newton-Raphson methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-2158-7723. (2015). On Enforcing Maximum Principles and Element-Wise Species Balance for Advective-Diffusive-Reactive Systems. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/2001

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-2158-7723. “On Enforcing Maximum Principles and Element-Wise Species Balance for Advective-Diffusive-Reactive Systems.” 2015. Doctoral Dissertation, University of Houston. Accessed May 06, 2021. http://hdl.handle.net/10657/2001.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-2158-7723. “On Enforcing Maximum Principles and Element-Wise Species Balance for Advective-Diffusive-Reactive Systems.” 2015. Web. 06 May 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-2158-7723. On Enforcing Maximum Principles and Element-Wise Species Balance for Advective-Diffusive-Reactive Systems. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2021 May 06]. Available from: http://hdl.handle.net/10657/2001.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-2158-7723. On Enforcing Maximum Principles and Element-Wise Species Balance for Advective-Diffusive-Reactive Systems. [Doctoral Dissertation]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/2001

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

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