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You searched for subject:(nuclear norm). Showing records 1 – 14 of 14 total matches.

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1. Finell, Frida. Är alla föräldrar lika välkomna i förskolan? : En studie i hur samkönade föräldrapar upplevde deras barns start i förskolan.

Degree: Teacher Education, 2013, Södertörn University

  The purpose of this study is to see a display on how family, gender and sexuality are produced in four same-sex parents’ stories about… (more)

Subjects/Keywords: Heteronormativity; Stereotyping; Norm; Nuclear family; Rainbow family; Heteronormativitet; Stereotypisering; Norm; Kärnfamilj; Regnbågsfamilj

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

APA (6th Edition):

Finell, F. (2013). Är alla föräldrar lika välkomna i förskolan? : En studie i hur samkönade föräldrapar upplevde deras barns start i förskolan. (Thesis). Södertörn University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-21212

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Finell, Frida. “Är alla föräldrar lika välkomna i förskolan? : En studie i hur samkönade föräldrapar upplevde deras barns start i förskolan.” 2013. Thesis, Södertörn University. Accessed December 10, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-21212.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Finell, Frida. “Är alla föräldrar lika välkomna i förskolan? : En studie i hur samkönade föräldrapar upplevde deras barns start i förskolan.” 2013. Web. 10 Dec 2019.

Vancouver:

Finell F. Är alla föräldrar lika välkomna i förskolan? : En studie i hur samkönade föräldrapar upplevde deras barns start i förskolan. [Internet] [Thesis]. Södertörn University; 2013. [cited 2019 Dec 10]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-21212.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Finell F. Är alla föräldrar lika välkomna i förskolan? : En studie i hur samkönade föräldrapar upplevde deras barns start i förskolan. [Thesis]. Södertörn University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-21212

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Bardakci, Ibrahim Ekrem. Approximate Realization of Hidden Markov Models.

Degree: MS, Electrical Engineering, 2014, Penn State University

 The realization problem for hidden Markov models (HMMs) has been studied over years. However, it does not always have solution and requires the exact string… (more)

Subjects/Keywords: Hidden Markov Model; Approximate Realization; Hankel Matrix; Nuclear Norm

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APA (6th Edition):

Bardakci, I. E. (2014). Approximate Realization of Hidden Markov Models. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/23697

Chicago Manual of Style (16th Edition):

Bardakci, Ibrahim Ekrem. “Approximate Realization of Hidden Markov Models.” 2014. Masters Thesis, Penn State University. Accessed December 10, 2019. https://etda.libraries.psu.edu/catalog/23697.

MLA Handbook (7th Edition):

Bardakci, Ibrahim Ekrem. “Approximate Realization of Hidden Markov Models.” 2014. Web. 10 Dec 2019.

Vancouver:

Bardakci IE. Approximate Realization of Hidden Markov Models. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Dec 10]. Available from: https://etda.libraries.psu.edu/catalog/23697.

Council of Science Editors:

Bardakci IE. Approximate Realization of Hidden Markov Models. [Masters Thesis]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/23697


University of Waterloo

3. Ames, Brendan. Convex relaxation for the planted clique, biclique, and clustering problems.

Degree: 2011, University of Waterloo

 A clique of a graph G is a set of pairwise adjacent nodes of G. Similarly, a biclique (U, V ) of a bipartite graph… (more)

Subjects/Keywords: nuclear norm minimization; convex optimization; maximum clique; clustering

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APA (6th Edition):

Ames, B. (2011). Convex relaxation for the planted clique, biclique, and clustering problems. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6113

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ames, Brendan. “Convex relaxation for the planted clique, biclique, and clustering problems.” 2011. Thesis, University of Waterloo. Accessed December 10, 2019. http://hdl.handle.net/10012/6113.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ames, Brendan. “Convex relaxation for the planted clique, biclique, and clustering problems.” 2011. Web. 10 Dec 2019.

Vancouver:

Ames B. Convex relaxation for the planted clique, biclique, and clustering problems. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/10012/6113.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ames B. Convex relaxation for the planted clique, biclique, and clustering problems. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/6113

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. ミヤ リズキニヤ. Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究.

Degree: 博士, 2018, The University of Kitakyushu / 北九州市立大学

 This study aims to generalize color line to M-dimensional spectral line feature (M>3) and introduce methods for denoising and unmixing of hyperspectral images based on… (more)

Subjects/Keywords: color line; spectral linearity; hyperspectral image; nuclear norm; denoising; unmixing; local spectral component decomposition

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APA (6th Edition):

ミヤ リズキニヤ. (2018). Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究. (Thesis). The University of Kitakyushu / 北九州市立大学. Retrieved from http://id.nii.ac.jp/1077/00000567/

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

ミヤ リズキニヤ. “Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究.” 2018. Thesis, The University of Kitakyushu / 北九州市立大学. Accessed December 10, 2019. http://id.nii.ac.jp/1077/00000567/.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

ミヤ リズキニヤ. “Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究.” 2018. Web. 10 Dec 2019.

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

Vancouver:

ミヤ リズキニヤ. Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究. [Internet] [Thesis]. The University of Kitakyushu / 北九州市立大学; 2018. [cited 2019 Dec 10]. Available from: http://id.nii.ac.jp/1077/00000567/.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

ミヤ リズキニヤ. Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究. [Thesis]. The University of Kitakyushu / 北九州市立大学; 2018. Available from: http://id.nii.ac.jp/1077/00000567/

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

5. Zhou, Fan. Statistical inference for high dimensional data with low rank structure.

Degree: PhD, Mathematics, 2018, Georgia Tech

 We study two major topics on statistical inference for high dimensional data with low rank structure occurred in many machine learning and statistics applications. The… (more)

Subjects/Keywords: Nonparametric statistics; Matrix completion; Low rank; Nuclear norm; Tensor; Singular vector perturbation

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APA (6th Edition):

Zhou, F. (2018). Statistical inference for high dimensional data with low rank structure. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60750

Chicago Manual of Style (16th Edition):

Zhou, Fan. “Statistical inference for high dimensional data with low rank structure.” 2018. Doctoral Dissertation, Georgia Tech. Accessed December 10, 2019. http://hdl.handle.net/1853/60750.

MLA Handbook (7th Edition):

Zhou, Fan. “Statistical inference for high dimensional data with low rank structure.” 2018. Web. 10 Dec 2019.

Vancouver:

Zhou F. Statistical inference for high dimensional data with low rank structure. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/1853/60750.

Council of Science Editors:

Zhou F. Statistical inference for high dimensional data with low rank structure. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60750


University of Minnesota

6. Deshmane, Harshad. System identification via Nuclear norm regularization.

Degree: MS, Electrical Engineering, 2014, University of Minnesota

 We study the subspace method for system identification, and look at algorithms that rely on nuclear norm regularization for solving this problem. We introduce our… (more)

Subjects/Keywords: Alternating direction method of multipliers; Hankel operator; Line search methods; Nuclear norm optimization; Subspace methods; System identification

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APA (6th Edition):

Deshmane, H. (2014). System identification via Nuclear norm regularization. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/165456

Chicago Manual of Style (16th Edition):

Deshmane, Harshad. “System identification via Nuclear norm regularization.” 2014. Masters Thesis, University of Minnesota. Accessed December 10, 2019. http://hdl.handle.net/11299/165456.

MLA Handbook (7th Edition):

Deshmane, Harshad. “System identification via Nuclear norm regularization.” 2014. Web. 10 Dec 2019.

Vancouver:

Deshmane H. System identification via Nuclear norm regularization. [Internet] [Masters thesis]. University of Minnesota; 2014. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/11299/165456.

Council of Science Editors:

Deshmane H. System identification via Nuclear norm regularization. [Masters Thesis]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/165456


University of Illinois – Urbana-Champaign

7. Thekumparampil, Kiran Koshy. Collaborative ranking from ordinal data.

Degree: MS, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 Personalized recommendation systems have to predict preferences of a user for items that have not seen by the user. For cardinal (ratings) data, personalized preference… (more)

Subjects/Keywords: Collaborative ranking; Recommendation system; Revenue management; Ordinal (comparison) data; Multinomial logit (MNL) model; Convex relaxation; Nuclear norm minimization

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APA (6th Edition):

Thekumparampil, K. K. (2017). Collaborative ranking from ordinal data. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97794

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thekumparampil, Kiran Koshy. “Collaborative ranking from ordinal data.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed December 10, 2019. http://hdl.handle.net/2142/97794.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thekumparampil, Kiran Koshy. “Collaborative ranking from ordinal data.” 2017. Web. 10 Dec 2019.

Vancouver:

Thekumparampil KK. Collaborative ranking from ordinal data. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/2142/97794.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thekumparampil KK. Collaborative ranking from ordinal data. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97794

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Pierucci, Federico. Optimisation non-lisse pour l'apprentissage statistique avec régularisation matricielle structurée : Nonsmooth optimization for statistical learning with structured matrix regularization.

Degree: Docteur es, Mathématiques et Informatique, 2017, Grenoble Alpes

 La phase d’apprentissage des méthodes d’apprentissage statistique automatique correspondent à la résolution d’un problème d’optimisation mathématique dont la fonction objectif se décompose en deux parties:… (more)

Subjects/Keywords: Méthodes de gradient; Frank-Wolfe; Gradient conditionnel; Lissage; Norme nucléaire; First-Order optimization; Conditional gradient; Frank-Wolfe; Smoothing; Nuclear-Norm; 004; 510

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APA (6th Edition):

Pierucci, F. (2017). Optimisation non-lisse pour l'apprentissage statistique avec régularisation matricielle structurée : Nonsmooth optimization for statistical learning with structured matrix regularization. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2017GREAM024

Chicago Manual of Style (16th Edition):

Pierucci, Federico. “Optimisation non-lisse pour l'apprentissage statistique avec régularisation matricielle structurée : Nonsmooth optimization for statistical learning with structured matrix regularization.” 2017. Doctoral Dissertation, Grenoble Alpes. Accessed December 10, 2019. http://www.theses.fr/2017GREAM024.

MLA Handbook (7th Edition):

Pierucci, Federico. “Optimisation non-lisse pour l'apprentissage statistique avec régularisation matricielle structurée : Nonsmooth optimization for statistical learning with structured matrix regularization.” 2017. Web. 10 Dec 2019.

Vancouver:

Pierucci F. Optimisation non-lisse pour l'apprentissage statistique avec régularisation matricielle structurée : Nonsmooth optimization for statistical learning with structured matrix regularization. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2017. [cited 2019 Dec 10]. Available from: http://www.theses.fr/2017GREAM024.

Council of Science Editors:

Pierucci F. Optimisation non-lisse pour l'apprentissage statistique avec régularisation matricielle structurée : Nonsmooth optimization for statistical learning with structured matrix regularization. [Doctoral Dissertation]. Grenoble Alpes; 2017. Available from: http://www.theses.fr/2017GREAM024

9. MIAO WEIMIN. Matrix Completion Models with Fixed Basis Coefficients and Rank Regularized Problems with Hard Constraints.

Degree: 2013, National University of Singapore

Subjects/Keywords: matrix completion; rank minimization; low rank; error bound; rank consistency; semi-nuclear norm

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APA (6th Edition):

WEIMIN, M. (2013). Matrix Completion Models with Fixed Basis Coefficients and Rank Regularized Problems with Hard Constraints. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/37889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

WEIMIN, MIAO. “Matrix Completion Models with Fixed Basis Coefficients and Rank Regularized Problems with Hard Constraints.” 2013. Thesis, National University of Singapore. Accessed December 10, 2019. http://scholarbank.nus.edu.sg/handle/10635/37889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

WEIMIN, MIAO. “Matrix Completion Models with Fixed Basis Coefficients and Rank Regularized Problems with Hard Constraints.” 2013. Web. 10 Dec 2019.

Vancouver:

WEIMIN M. Matrix Completion Models with Fixed Basis Coefficients and Rank Regularized Problems with Hard Constraints. [Internet] [Thesis]. National University of Singapore; 2013. [cited 2019 Dec 10]. Available from: http://scholarbank.nus.edu.sg/handle/10635/37889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

WEIMIN M. Matrix Completion Models with Fixed Basis Coefficients and Rank Regularized Problems with Hard Constraints. [Thesis]. National University of Singapore; 2013. Available from: http://scholarbank.nus.edu.sg/handle/10635/37889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Zhang, Anru. High-dimensional Statistical Inference: from Vector to Matrix.

Degree: 2015, University of Pennsylvania

 Statistical inference for sparse signals or low-rank matrices in high-dimensional settings is of significant interest in a range of contemporary applications. It has attracted significant… (more)

Subjects/Keywords: Constrained l_1 minimization; Constrained nuclear norm minimization; Genomic data integration; Low-rank matrix recovery; Optimal rate of convergence; Sparse signal recovery; Applied Mathematics; Statistics and Probability

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APA (6th Edition):

Zhang, A. (2015). High-dimensional Statistical Inference: from Vector to Matrix. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/1172

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Anru. “High-dimensional Statistical Inference: from Vector to Matrix.” 2015. Thesis, University of Pennsylvania. Accessed December 10, 2019. https://repository.upenn.edu/edissertations/1172.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Anru. “High-dimensional Statistical Inference: from Vector to Matrix.” 2015. Web. 10 Dec 2019.

Vancouver:

Zhang A. High-dimensional Statistical Inference: from Vector to Matrix. [Internet] [Thesis]. University of Pennsylvania; 2015. [cited 2019 Dec 10]. Available from: https://repository.upenn.edu/edissertations/1172.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang A. High-dimensional Statistical Inference: from Vector to Matrix. [Thesis]. University of Pennsylvania; 2015. Available from: https://repository.upenn.edu/edissertations/1172

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. JIANG KAIFENG. Algorithms for Large Scale Nuclear Norm Minimization and Convex Quadratic Semidefinite Programming Problems.

Degree: 2011, National University of Singapore

Subjects/Keywords: Nuclear norm minimization; convex quadratic semidefinite programming; partial proximal point algorithm; inexact smoothing Newton method; inexact APG

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APA (6th Edition):

KAIFENG, J. (2011). Algorithms for Large Scale Nuclear Norm Minimization and Convex Quadratic Semidefinite Programming Problems. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/30701

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

KAIFENG, JIANG. “Algorithms for Large Scale Nuclear Norm Minimization and Convex Quadratic Semidefinite Programming Problems.” 2011. Thesis, National University of Singapore. Accessed December 10, 2019. http://scholarbank.nus.edu.sg/handle/10635/30701.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

KAIFENG, JIANG. “Algorithms for Large Scale Nuclear Norm Minimization and Convex Quadratic Semidefinite Programming Problems.” 2011. Web. 10 Dec 2019.

Vancouver:

KAIFENG J. Algorithms for Large Scale Nuclear Norm Minimization and Convex Quadratic Semidefinite Programming Problems. [Internet] [Thesis]. National University of Singapore; 2011. [cited 2019 Dec 10]. Available from: http://scholarbank.nus.edu.sg/handle/10635/30701.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

KAIFENG J. Algorithms for Large Scale Nuclear Norm Minimization and Convex Quadratic Semidefinite Programming Problems. [Thesis]. National University of Singapore; 2011. Available from: http://scholarbank.nus.edu.sg/handle/10635/30701

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Central Florida

12. Oreifej, Omar. Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition.

Degree: 2013, University of Central Florida

 In this dissertation, we discuss the problem of robust linear subspace estimation using low-rank optimization and propose three formulations of it. We demonstrate how these… (more)

Subjects/Keywords: low rank representation; low rank; sparse representation; sparse; activity recognition; turbulence mitigation; video denoising; complex event recognition; nuclear norm; augmented lagrange multiplier; camera motion estimation; trecvid; hoha; water waves; rank; trajectories; particle advection; registration; decomposition; moving object detection; background subtraction; atmospheric turbulence; Computer Engineering; Engineering; Dissertations, Academic  – Engineering and Computer Science, Engineering and Computer Science  – Dissertations, Academic

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APA (6th Edition):

Oreifej, O. (2013). Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/2569

Chicago Manual of Style (16th Edition):

Oreifej, Omar. “Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition.” 2013. Doctoral Dissertation, University of Central Florida. Accessed December 10, 2019. https://stars.library.ucf.edu/etd/2569.

MLA Handbook (7th Edition):

Oreifej, Omar. “Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition.” 2013. Web. 10 Dec 2019.

Vancouver:

Oreifej O. Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition. [Internet] [Doctoral dissertation]. University of Central Florida; 2013. [cited 2019 Dec 10]. Available from: https://stars.library.ucf.edu/etd/2569.

Council of Science Editors:

Oreifej O. Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition. [Doctoral Dissertation]. University of Central Florida; 2013. Available from: https://stars.library.ucf.edu/etd/2569

13. Hulth, Maria. Det osynliga regnbågsbarnet på förskolan : En enkätundersökning om normer, olikheter och särskiljandets betydelse.

Degree: Culture and History, 2006, Södertörn University College

The purpose of this paper is to see how differences are handled in preschools, with a focus on children with homo- or bisexual parents.… (more)

Subjects/Keywords: children with homosexual parents; preschool; differences; distinction; norms; the heterosexual norm; heterosexism; rainbow child; nuclear family; barn med homosexuella föräldrar; förskola; olikhet; särskiljande; normer; den heterosexuella normen; heterosexism; regnbågsbarn; kärnfamilj; Gender studies; Genus

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APA (6th Edition):

Hulth, M. (2006). Det osynliga regnbågsbarnet på förskolan : En enkätundersökning om normer, olikheter och särskiljandets betydelse. (Thesis). Södertörn University College. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-506

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hulth, Maria. “Det osynliga regnbågsbarnet på förskolan : En enkätundersökning om normer, olikheter och särskiljandets betydelse.” 2006. Thesis, Södertörn University College. Accessed December 10, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-506.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hulth, Maria. “Det osynliga regnbågsbarnet på förskolan : En enkätundersökning om normer, olikheter och särskiljandets betydelse.” 2006. Web. 10 Dec 2019.

Vancouver:

Hulth M. Det osynliga regnbågsbarnet på förskolan : En enkätundersökning om normer, olikheter och särskiljandets betydelse. [Internet] [Thesis]. Södertörn University College; 2006. [cited 2019 Dec 10]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-506.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hulth M. Det osynliga regnbågsbarnet på förskolan : En enkätundersökning om normer, olikheter och särskiljandets betydelse. [Thesis]. Södertörn University College; 2006. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-506

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Xiao, Jing. Tracking-by-selection pose estimation in videos.

Degree: MS, Department of Electrical and Computer Engineering, 2016, Northeastern University

 In this thesis, we propose a novel, effective, yet simple tracking-by-selection algorithm for human pose estimation in videos. The problem is solved by two steps,… (more)

Subjects/Keywords: dynamics; Hankel matrix; nuclear norm; pose estimations; videos; Computer vision; Pattern recognition systems; Image processing; Digital techniques; Matrices; Algorithms; Human mechanics

…the least Nuclear norm of its Hankel matrix among all the possible combinations. In the end… …systems, auto regression, Hankel matrix and Nuclear norm. Chapter 3, presents a Nuclear norm of… …and Nuclear Norm From section 2.2, we know the fact that the order of the system is the rank… …relates to rank is Nuclear norm, who often substitute the positions of rank in rank minimization… …problems. Nuclear norm is equivalent to the l1 -norm of the vector of its eigenvalues. Thus, when… 

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

APA (6th Edition):

Xiao, J. (2016). Tracking-by-selection pose estimation in videos. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20213260

Chicago Manual of Style (16th Edition):

Xiao, Jing. “Tracking-by-selection pose estimation in videos.” 2016. Masters Thesis, Northeastern University. Accessed December 10, 2019. http://hdl.handle.net/2047/D20213260.

MLA Handbook (7th Edition):

Xiao, Jing. “Tracking-by-selection pose estimation in videos.” 2016. Web. 10 Dec 2019.

Vancouver:

Xiao J. Tracking-by-selection pose estimation in videos. [Internet] [Masters thesis]. Northeastern University; 2016. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/2047/D20213260.

Council of Science Editors:

Xiao J. Tracking-by-selection pose estimation in videos. [Masters Thesis]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20213260

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