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You searched for `subject:(Nonnegative Matrix Factorization)`

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43 total matches.

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- 2017 – 2021 (13)
- 2012 – 2016 (24)
- 2007 – 2011 (10)

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Northeastern University

1.
Wang, Yueyang.
New initialization strategy for *nonnegative* *matrix* * factorization*.

Degree: MS, Department of Electrical and Computer Engineering, 2018, Northeastern University

URL: http://hdl.handle.net/2047/D20290549

► *Nonnegative* *matrix* *factorization* (NMF) has been proved to be a powerful data representa-tion method, and has shown success in applications such as data representation and…
(more)

Subjects/Keywords: complementary elements; nonnegative matrix factorization; data

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APA (6^{th} Edition):

Wang, Y. (2018). New initialization strategy for nonnegative matrix factorization. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20290549

Chicago Manual of Style (16^{th} Edition):

Wang, Yueyang. “New initialization strategy for nonnegative matrix factorization.” 2018. Masters Thesis, Northeastern University. Accessed March 06, 2021. http://hdl.handle.net/2047/D20290549.

MLA Handbook (7^{th} Edition):

Wang, Yueyang. “New initialization strategy for nonnegative matrix factorization.” 2018. Web. 06 Mar 2021.

Vancouver:

Wang Y. New initialization strategy for nonnegative matrix factorization. [Internet] [Masters thesis]. Northeastern University; 2018. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/2047/D20290549.

Council of Science Editors:

Wang Y. New initialization strategy for nonnegative matrix factorization. [Masters Thesis]. Northeastern University; 2018. Available from: http://hdl.handle.net/2047/D20290549

University of Minnesota

2.
Mosesov, Artem.
Adaptive Non-negative Least Squares with Applications to Non-Negative *Matrix* * Factorization*.

Degree: M.S.E.E., Electrical Engineering, 2014, University of Minnesota

URL: http://hdl.handle.net/11299/173949

► Problems with non-negativity constrains have recently attracted a great deal of interest. Non-negativity constraints arise naturally in many applications, and are often necessary for proper…
(more)

Subjects/Keywords: least squares; matrix factorization; NMF; NNLS; Nonnegative

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APA (6^{th} Edition):

Mosesov, A. (2014). Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/173949

Chicago Manual of Style (16^{th} Edition):

Mosesov, Artem. “Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization.” 2014. Masters Thesis, University of Minnesota. Accessed March 06, 2021. http://hdl.handle.net/11299/173949.

MLA Handbook (7^{th} Edition):

Mosesov, Artem. “Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization.” 2014. Web. 06 Mar 2021.

Vancouver:

Mosesov A. Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization. [Internet] [Masters thesis]. University of Minnesota; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11299/173949.

Council of Science Editors:

Mosesov A. Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization. [Masters Thesis]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/173949

University of Western Ontario

3. Feng, Boyu. Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping.

Degree: 2018, University of Western Ontario

URL: https://ir.lib.uwo.ca/etd/5732

► The emergence of hyperspectral imaging provides a new perspective for Earth observation, in addition to previously available orthophoto and multispectral imagery. This thesis focused on…
(more)

Subjects/Keywords: Nonnegative matrix factorization; nonnegative tensor factorization; hyperspectral image; spectral unmixing; dimension reduction; Geographic Information Sciences; Remote Sensing

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APA (6^{th} Edition):

Feng, B. (2018). Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5732

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Feng, Boyu. “Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping.” 2018. Thesis, University of Western Ontario. Accessed March 06, 2021. https://ir.lib.uwo.ca/etd/5732.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Feng, Boyu. “Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping.” 2018. Web. 06 Mar 2021.

Vancouver:

Feng B. Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2021 Mar 06]. Available from: https://ir.lib.uwo.ca/etd/5732.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Feng B. Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5732

Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

4.
Ling, Chenyang (author).
* Nonnegative* Robust PCA for Background and Foreground Image Decomposition.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:08125ab1-9db3-4ce8-9fa9-cea5ed7cc257

►

Nowadays, video surveillance and motion detection system are widely used in various environments. With the relatively low-price cameras and highly automated monitoring system, video and… (more)

Subjects/Keywords: Robust Principal Component Analysis; Nonnegative Matrix Factorization; Image decomposition

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APA (6^{th} Edition):

Ling, C. (. (2020). Nonnegative Robust PCA for Background and Foreground Image Decomposition. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:08125ab1-9db3-4ce8-9fa9-cea5ed7cc257

Chicago Manual of Style (16^{th} Edition):

Ling, Chenyang (author). “Nonnegative Robust PCA for Background and Foreground Image Decomposition.” 2020. Masters Thesis, Delft University of Technology. Accessed March 06, 2021. http://resolver.tudelft.nl/uuid:08125ab1-9db3-4ce8-9fa9-cea5ed7cc257.

MLA Handbook (7^{th} Edition):

Ling, Chenyang (author). “Nonnegative Robust PCA for Background and Foreground Image Decomposition.” 2020. Web. 06 Mar 2021.

Vancouver:

Ling C(. Nonnegative Robust PCA for Background and Foreground Image Decomposition. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 06]. Available from: http://resolver.tudelft.nl/uuid:08125ab1-9db3-4ce8-9fa9-cea5ed7cc257.

Council of Science Editors:

Ling C(. Nonnegative Robust PCA for Background and Foreground Image Decomposition. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:08125ab1-9db3-4ce8-9fa9-cea5ed7cc257

University of Kentucky

5. Thapa, Nirmal. CONTEXT AWARE PRIVACY PRESERVING CLUSTERING AND CLASSIFICATION.

Degree: 2013, University of Kentucky

URL: https://uknowledge.uky.edu/cs_etds/15

► Data are valuable assets to any organizations or individuals. Data are sources of useful information which is a big part of decision making. All sectors…
(more)

Subjects/Keywords: Privacy Preserving Data Mining; Nonnegative Matrix Factorization; Constraints on Nonnegative Matrix Factorization; Correlation; Neighborhood; Distortion Metrics; Clustering; Classification; Computer Sciences; Databases and Information Systems; Other Computer Sciences

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

APA (6^{th} Edition):

Thapa, N. (2013). CONTEXT AWARE PRIVACY PRESERVING CLUSTERING AND CLASSIFICATION. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/cs_etds/15

Chicago Manual of Style (16^{th} Edition):

Thapa, Nirmal. “CONTEXT AWARE PRIVACY PRESERVING CLUSTERING AND CLASSIFICATION.” 2013. Doctoral Dissertation, University of Kentucky. Accessed March 06, 2021. https://uknowledge.uky.edu/cs_etds/15.

MLA Handbook (7^{th} Edition):

Thapa, Nirmal. “CONTEXT AWARE PRIVACY PRESERVING CLUSTERING AND CLASSIFICATION.” 2013. Web. 06 Mar 2021.

Vancouver:

Thapa N. CONTEXT AWARE PRIVACY PRESERVING CLUSTERING AND CLASSIFICATION. [Internet] [Doctoral dissertation]. University of Kentucky; 2013. [cited 2021 Mar 06]. Available from: https://uknowledge.uky.edu/cs_etds/15.

Council of Science Editors:

Thapa N. CONTEXT AWARE PRIVACY PRESERVING CLUSTERING AND CLASSIFICATION. [Doctoral Dissertation]. University of Kentucky; 2013. Available from: https://uknowledge.uky.edu/cs_etds/15

Vanderbilt University

6.
Zhong, Xue.
Sparse Network-regularized *Nonnegative* *Matrix* *Factorization* and Applications to Tumor Subtyping.

Degree: MS, Biostatistics, 2015, Vanderbilt University

URL: http://hdl.handle.net/1803/13137

► Cancers are complex diseases and identification of clinically important subtypes has the potential to guide better prognosis and treatment. The utility of graph-regularized *nonnegative* *matrix*…
(more)

Subjects/Keywords: sparse; network-regularized; nonnegative matrix factorization; tumor subtyping; classification; network-based stratification; somatic mutation; TCGA

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

APA (6^{th} Edition):

Zhong, X. (2015). Sparse Network-regularized Nonnegative Matrix Factorization and Applications to Tumor Subtyping. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13137

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Zhong, Xue. “Sparse Network-regularized Nonnegative Matrix Factorization and Applications to Tumor Subtyping.” 2015. Thesis, Vanderbilt University. Accessed March 06, 2021. http://hdl.handle.net/1803/13137.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhong, Xue. “Sparse Network-regularized Nonnegative Matrix Factorization and Applications to Tumor Subtyping.” 2015. Web. 06 Mar 2021.

Vancouver:

Zhong X. Sparse Network-regularized Nonnegative Matrix Factorization and Applications to Tumor Subtyping. [Internet] [Thesis]. Vanderbilt University; 2015. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1803/13137.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhong X. Sparse Network-regularized Nonnegative Matrix Factorization and Applications to Tumor Subtyping. [Thesis]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/13137

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

7. Yang, Kai-Jhih. Convolutional Neural Network with Multilinear Principal Component Analysis for medical image classification.

Degree: Master, Institute Of Applied Mathematics, 2018, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603118-155316

► There are plenty of medical image data which have three-dimensional tensor structure. While analyzing the image data, due to the high dimensionality of the data,…
(more)

Subjects/Keywords: Nonnegative Matrix Factorization; Multilayer Perceptron; Image Recognition; Adaptive Moment Estimation; Cross Validation

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APA (6^{th} Edition):

Yang, K. (2018). Convolutional Neural Network with Multilinear Principal Component Analysis for medical image classification. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603118-155316

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Yang, Kai-Jhih. “Convolutional Neural Network with Multilinear Principal Component Analysis for medical image classification.” 2018. Thesis, NSYSU. Accessed March 06, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603118-155316.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yang, Kai-Jhih. “Convolutional Neural Network with Multilinear Principal Component Analysis for medical image classification.” 2018. Web. 06 Mar 2021.

Vancouver:

Yang K. Convolutional Neural Network with Multilinear Principal Component Analysis for medical image classification. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Mar 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603118-155316.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang K. Convolutional Neural Network with Multilinear Principal Component Analysis for medical image classification. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603118-155316

Not specified: Masters Thesis or Doctoral Dissertation

University of Colorado

8.
Charles, Richard Martin.
* Matrix* Patch Reordering as a Strategy for Compression,

Degree: PhD, Applied Mathematics, 2015, University of Colorado

URL: https://scholar.colorado.edu/appm_gradetds/68

► Recent improvements in computing and technology demand the processing and analysis of huge datasets in a variety of ﬁelds. Often the analysis requires the…
(more)

Subjects/Keywords: Compression; Image Patches; Nonnegative Matrix Factorization; Pixel Reordering; SVD; Applied Mathematics; Signal Processing

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APA (6^{th} Edition):

Charles, R. M. (2015). Matrix Patch Reordering as a Strategy for Compression, Factorization, and Pattern Detection using Nonnegative Matrix Factorization Applied to Single Images. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/68

Chicago Manual of Style (16^{th} Edition):

Charles, Richard Martin. “Matrix Patch Reordering as a Strategy for Compression, Factorization, and Pattern Detection using Nonnegative Matrix Factorization Applied to Single Images.” 2015. Doctoral Dissertation, University of Colorado. Accessed March 06, 2021. https://scholar.colorado.edu/appm_gradetds/68.

MLA Handbook (7^{th} Edition):

Charles, Richard Martin. “Matrix Patch Reordering as a Strategy for Compression, Factorization, and Pattern Detection using Nonnegative Matrix Factorization Applied to Single Images.” 2015. Web. 06 Mar 2021.

Vancouver:

Charles RM. Matrix Patch Reordering as a Strategy for Compression, Factorization, and Pattern Detection using Nonnegative Matrix Factorization Applied to Single Images. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2021 Mar 06]. Available from: https://scholar.colorado.edu/appm_gradetds/68.

Council of Science Editors:

Charles RM. Matrix Patch Reordering as a Strategy for Compression, Factorization, and Pattern Detection using Nonnegative Matrix Factorization Applied to Single Images. [Doctoral Dissertation]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/appm_gradetds/68

Delft University of Technology

9. van Winden, Thijs (author). Intensity-Aware Rank Estimation for Dimensionality Reduction in Imaging Mass Spectrometry.

Degree: 2019, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:c6ddb2ce-5551-4bd1-807a-a234486cfc9b

► Imaging Mass Spectrometry (IMS) is a spectral imaging technique, which enables detection of the spatial distribution of molecules by collecting a mass spectrum for every…
(more)

Subjects/Keywords: Imaging Mass Spectrometry; Dimensionality Reduction; Rank Estimation; Principal Component Analysis; Nonnegative Matrix Factorization

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APA (6^{th} Edition):

van Winden, T. (. (2019). Intensity-Aware Rank Estimation for Dimensionality Reduction in Imaging Mass Spectrometry. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c6ddb2ce-5551-4bd1-807a-a234486cfc9b

Chicago Manual of Style (16^{th} Edition):

van Winden, Thijs (author). “Intensity-Aware Rank Estimation for Dimensionality Reduction in Imaging Mass Spectrometry.” 2019. Masters Thesis, Delft University of Technology. Accessed March 06, 2021. http://resolver.tudelft.nl/uuid:c6ddb2ce-5551-4bd1-807a-a234486cfc9b.

MLA Handbook (7^{th} Edition):

van Winden, Thijs (author). “Intensity-Aware Rank Estimation for Dimensionality Reduction in Imaging Mass Spectrometry.” 2019. Web. 06 Mar 2021.

Vancouver:

van Winden T(. Intensity-Aware Rank Estimation for Dimensionality Reduction in Imaging Mass Spectrometry. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 06]. Available from: http://resolver.tudelft.nl/uuid:c6ddb2ce-5551-4bd1-807a-a234486cfc9b.

Council of Science Editors:

van Winden T(. Intensity-Aware Rank Estimation for Dimensionality Reduction in Imaging Mass Spectrometry. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:c6ddb2ce-5551-4bd1-807a-a234486cfc9b

10.
Recoskie, Daniel.
Constrained *Nonnegative* *Matrix* *Factorization* with Applications to Music Transcription.

Degree: 2014, University of Waterloo

URL: http://hdl.handle.net/10012/8639

► In this work we explore using *nonnegative* *matrix* *factorization* (NMF) for music transcription, as well as several other applications. NMF is an unsupervised learning method…
(more)

Subjects/Keywords: nonnegative matrix factorization; music transcription

…*matrix* *factorization*, but here we focus on only one: *nonnegative* *matrix*
*factorization*.
Why only… …quantization (VQ), and *nonnegative* *matrix* *factorization*
(NMF). The authors run… …quantization (VQ), and *nonnegative* *matrix*
*factorization* (NMF). Shown in the… …transform of (a,b) respectively.
18
Chapter 3
*Nonnegative* *Matrix* *Factorization*
3.1… …Background
The goal of *nonnegative* *matrix* *factorization* (NMF) is to approximate a *matrix*…

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

APA (6^{th} Edition):

Recoskie, D. (2014). Constrained Nonnegative Matrix Factorization with Applications to Music Transcription. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/8639

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Recoskie, Daniel. “Constrained Nonnegative Matrix Factorization with Applications to Music Transcription.” 2014. Thesis, University of Waterloo. Accessed March 06, 2021. http://hdl.handle.net/10012/8639.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Recoskie, Daniel. “Constrained Nonnegative Matrix Factorization with Applications to Music Transcription.” 2014. Web. 06 Mar 2021.

Vancouver:

Recoskie D. Constrained Nonnegative Matrix Factorization with Applications to Music Transcription. [Internet] [Thesis]. University of Waterloo; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10012/8639.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Recoskie D. Constrained Nonnegative Matrix Factorization with Applications to Music Transcription. [Thesis]. University of Waterloo; 2014. Available from: http://hdl.handle.net/10012/8639

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

11. Chou, Yung-Chieh. Automatic Term Explanation based on Topic-regularized Recurrent Neural Network.

Degree: Master, Information Management, 2018, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0708118-120036

► In this study, we propose a topic-regularized Recurrent Neural Network(RNN)-based model designed to explain given terms. RNN-based models usually generate text results that have correct…
(more)

Subjects/Keywords: Recurrent neural network; Automatic sentence generation; Automatic term explanation; Automatic summarization; Nonnegative matrix factorization; Topic model; Long short-term memory

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

APA (6^{th} Edition):

Chou, Y. (2018). Automatic Term Explanation based on Topic-regularized Recurrent Neural Network. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0708118-120036

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Chou, Yung-Chieh. “Automatic Term Explanation based on Topic-regularized Recurrent Neural Network.” 2018. Thesis, NSYSU. Accessed March 06, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0708118-120036.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chou, Yung-Chieh. “Automatic Term Explanation based on Topic-regularized Recurrent Neural Network.” 2018. Web. 06 Mar 2021.

Vancouver:

Chou Y. Automatic Term Explanation based on Topic-regularized Recurrent Neural Network. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Mar 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0708118-120036.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chou Y. Automatic Term Explanation based on Topic-regularized Recurrent Neural Network. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0708118-120036

Not specified: Masters Thesis or Doctoral Dissertation

12. Brisebarre, Godefroy. Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach.

Degree: Docteur es, Optique, Photonique et Traitement d'Image, 2014, Ecole centrale de Marseille

URL: http://www.theses.fr/2014ECDM0010

►

L’imagerie hyperspectrale est un type d’imagerie émergent qui connaît un essor important depuis le début des années 2000. Grâce à une structure spectrale très fine… (more)

Subjects/Keywords: Classification de changements; Dé-mélange; Factorisation en matrice non-négatives; Change classification; Unmixing; Nonnegative Matrix Factorization

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

APA (6^{th} Edition):

Brisebarre, G. (2014). Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach. (Doctoral Dissertation). Ecole centrale de Marseille. Retrieved from http://www.theses.fr/2014ECDM0010

Chicago Manual of Style (16^{th} Edition):

Brisebarre, Godefroy. “Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach.” 2014. Doctoral Dissertation, Ecole centrale de Marseille. Accessed March 06, 2021. http://www.theses.fr/2014ECDM0010.

MLA Handbook (7^{th} Edition):

Brisebarre, Godefroy. “Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach.” 2014. Web. 06 Mar 2021.

Vancouver:

Brisebarre G. Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach. [Internet] [Doctoral dissertation]. Ecole centrale de Marseille; 2014. [cited 2021 Mar 06]. Available from: http://www.theses.fr/2014ECDM0010.

Council of Science Editors:

Brisebarre G. Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach. [Doctoral Dissertation]. Ecole centrale de Marseille; 2014. Available from: http://www.theses.fr/2014ECDM0010

13.
Cahill, Niall M.
An investigation of the utility of monaural sound source
separation via *nonnegative* *matrix* *factorization* applied to
acoustic echo and reverberation mitigation for hands-free telephony.

Degree: 2012, RIAN

URL: http://eprints.maynoothuniversity.ie/3988/

► In this thesis we investigate the applicability and utility of Monaural Sound Source Separation (MSSS) via *Nonnegative* *Matrix* *Factorization* (NMF) for various problems related to…
(more)

Subjects/Keywords: Electronic Engineering; monaural sound source separation; nonnegative matrix factorization; acoustic echo; reverberation mitigation; hands-free telephony

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APA (6^{th} Edition):

Cahill, N. M. (2012). An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony. (Thesis). RIAN. Retrieved from http://eprints.maynoothuniversity.ie/3988/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Cahill, Niall M. “An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony.” 2012. Thesis, RIAN. Accessed March 06, 2021. http://eprints.maynoothuniversity.ie/3988/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cahill, Niall M. “An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony.” 2012. Web. 06 Mar 2021.

Vancouver:

Cahill NM. An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony. [Internet] [Thesis]. RIAN; 2012. [cited 2021 Mar 06]. Available from: http://eprints.maynoothuniversity.ie/3988/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cahill NM. An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony. [Thesis]. RIAN; 2012. Available from: http://eprints.maynoothuniversity.ie/3988/

Not specified: Masters Thesis or Doctoral Dissertation

14.
Cahill, Niall M.
An investigation of the utility of monaural sound source
separation via *nonnegative* *matrix* *factorization* applied to
acoustic echo and reverberation mitigation for hands-free telephony.

Degree: 2012, RIAN

URL: http://mural.maynoothuniversity.ie/3988/

► In this thesis we investigate the applicability and utility of Monaural Sound Source Separation (MSSS) via *Nonnegative* *Matrix* *Factorization* (NMF) for various problems related to…
(more)

Subjects/Keywords: Electronic Engineering; monaural sound source separation; nonnegative matrix factorization; acoustic echo; reverberation mitigation; hands-free telephony

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

APA (6^{th} Edition):

Cahill, N. M. (2012). An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony. (Thesis). RIAN. Retrieved from http://mural.maynoothuniversity.ie/3988/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Cahill, Niall M. “An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony.” 2012. Thesis, RIAN. Accessed March 06, 2021. http://mural.maynoothuniversity.ie/3988/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cahill, Niall M. “An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony.” 2012. Web. 06 Mar 2021.

Vancouver:

Cahill NM. An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony. [Internet] [Thesis]. RIAN; 2012. [cited 2021 Mar 06]. Available from: http://mural.maynoothuniversity.ie/3988/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cahill NM. An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony. [Thesis]. RIAN; 2012. Available from: http://mural.maynoothuniversity.ie/3988/

Not specified: Masters Thesis or Doctoral Dissertation

University of Maryland

15.
Tjoa, Steven Kiemyang.
Sparse and *Nonnegative* Factorizations For Music Understanding.

Degree: Electrical Engineering, 2011, University of Maryland

URL: http://hdl.handle.net/1903/12072

► In this dissertation, we propose methods for sparse and *nonnegative* *factorization* that are specifically suited for analyzing musical signals. First, we discuss two constraints that…
(more)

Subjects/Keywords: Electrical engineering; Computer science; Music; Dictionary Learning; Music Information Retrieval; Music Transcription; Nonnegative Matrix Factorization; Source Separation; Sparse Coding

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

APA (6^{th} Edition):

Tjoa, S. K. (2011). Sparse and Nonnegative Factorizations For Music Understanding. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/12072

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Tjoa, Steven Kiemyang. “Sparse and Nonnegative Factorizations For Music Understanding.” 2011. Thesis, University of Maryland. Accessed March 06, 2021. http://hdl.handle.net/1903/12072.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tjoa, Steven Kiemyang. “Sparse and Nonnegative Factorizations For Music Understanding.” 2011. Web. 06 Mar 2021.

Vancouver:

Tjoa SK. Sparse and Nonnegative Factorizations For Music Understanding. [Internet] [Thesis]. University of Maryland; 2011. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1903/12072.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tjoa SK. Sparse and Nonnegative Factorizations For Music Understanding. [Thesis]. University of Maryland; 2011. Available from: http://hdl.handle.net/1903/12072

Not specified: Masters Thesis or Doctoral Dissertation

North Carolina State University

16.
Lin, Matthew Min-Hsiung.
Inverse Problems of *Matrix* Data Reconstruction.

Degree: PhD, Applied Mathematics, 2010, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/6260

► Mathematical modeling is an indispensable task in almost every discipline of sciences. If a model for a specific phenomenon can be correctly established, then it…
(more)

Subjects/Keywords: nonnegative rank; eigenstructure completion; quadratic model; nonnegative rank factorization; Wedderburn rank reduction formula; inverse eigenvalue problem; quadratic matrix polynomial; model updating; spill-over; connectivity; linear inequality system; nonnegativity; low rank approximation; quadratic programming; maximin problem; semi-deï¬ nite programming; structural constraint; nonnegative matrix factorization; polytope approximation; Hahnâ€“Banach theorem; probability simplex; Euclidean distance matrix; pattern discovery; supporting hyperplane; matrix factorization; classiï¬ cation; clustering; nonnegative matrix; completely positive matrix; cp-rank

Record Details Similar Records

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

APA (6^{th} Edition):

Lin, M. M. (2010). Inverse Problems of Matrix Data Reconstruction. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/6260

Chicago Manual of Style (16^{th} Edition):

Lin, Matthew Min-Hsiung. “Inverse Problems of Matrix Data Reconstruction.” 2010. Doctoral Dissertation, North Carolina State University. Accessed March 06, 2021. http://www.lib.ncsu.edu/resolver/1840.16/6260.

MLA Handbook (7^{th} Edition):

Lin, Matthew Min-Hsiung. “Inverse Problems of Matrix Data Reconstruction.” 2010. Web. 06 Mar 2021.

Vancouver:

Lin MM. Inverse Problems of Matrix Data Reconstruction. [Internet] [Doctoral dissertation]. North Carolina State University; 2010. [cited 2021 Mar 06]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/6260.

Council of Science Editors:

Lin MM. Inverse Problems of Matrix Data Reconstruction. [Doctoral Dissertation]. North Carolina State University; 2010. Available from: http://www.lib.ncsu.edu/resolver/1840.16/6260

17.
Traa, Johannes.
Phase difference and tensor *factorization* models for audio source separation.

Degree: PhD, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/95277

► Audio source separation is a well-known problem in the speech community. Many methods have been proposed to isolate speech signals from a multichannel mixture. In…
(more)

Subjects/Keywords: Nonnegative matrix factorization; Nonnegative tensor factorization; Interchannel phase differences; Audio Source Separation

…evaluated over D look directions in a *nonnegative*
*matrix* L ∈ RD×F T and assume the *factorization*… …methods further and incorporate them into several *matrix* and tensor
*factorization* algorithms… …significant drawback is that
each term in the *factorization* contains its own F-by-T *matrix* of phase… …clearly many *matrix* and tensor *factorization* approaches to audio source separation. In this… …of the spline section satisfying (3.5) for fi .
In *matrix*-vector form, we have…

Record Details Similar Records

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

APA (6^{th} Edition):

Traa, J. (2016). Phase difference and tensor factorization models for audio source separation. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95277

Chicago Manual of Style (16^{th} Edition):

Traa, Johannes. “Phase difference and tensor factorization models for audio source separation.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 06, 2021. http://hdl.handle.net/2142/95277.

MLA Handbook (7^{th} Edition):

Traa, Johannes. “Phase difference and tensor factorization models for audio source separation.” 2016. Web. 06 Mar 2021.

Vancouver:

Traa J. Phase difference and tensor factorization models for audio source separation. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/2142/95277.

Council of Science Editors:

Traa J. Phase difference and tensor factorization models for audio source separation. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95277

18. Feng, Fangchen. Séparation aveugle de source : de l'instantané au convolutif : Blind source separation : from instantaneous to convolutive.

Degree: Docteur es, Traitement du signal et des images, 2017, Université Paris-Saclay (ComUE)

URL: http://www.theses.fr/2017SACLS232

►

La séparation aveugle de source consiste à estimer les signaux de sources uniquement à partir des mélanges observés. Le problème peut être séparé en deux… (more)

Subjects/Keywords: Séparation de sources; Représentation parcimonieuse; Transformée de Gabor; Factorisation en matrices non-négatives; Problèmes inverses; Optimisation; Source separation; Sparse representation; Gabor transform; Nonnegative matrix factorization; Inverse problem; Optimization

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

APA (6^{th} Edition):

Feng, F. (2017). Séparation aveugle de source : de l'instantané au convolutif : Blind source separation : from instantaneous to convolutive. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2017SACLS232

Chicago Manual of Style (16^{th} Edition):

Feng, Fangchen. “Séparation aveugle de source : de l'instantané au convolutif : Blind source separation : from instantaneous to convolutive.” 2017. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 06, 2021. http://www.theses.fr/2017SACLS232.

MLA Handbook (7^{th} Edition):

Feng, Fangchen. “Séparation aveugle de source : de l'instantané au convolutif : Blind source separation : from instantaneous to convolutive.” 2017. Web. 06 Mar 2021.

Vancouver:

Feng F. Séparation aveugle de source : de l'instantané au convolutif : Blind source separation : from instantaneous to convolutive. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2017. [cited 2021 Mar 06]. Available from: http://www.theses.fr/2017SACLS232.

Council of Science Editors:

Feng F. Séparation aveugle de source : de l'instantané au convolutif : Blind source separation : from instantaneous to convolutive. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2017. Available from: http://www.theses.fr/2017SACLS232

19. Lefèvre, Augustin. Dictionary learning methods for single-channel source separation : Méthodes d'apprentissage de dictionnaire pour la séparation de sources audio avec un seul capteur.

Degree: Docteur es, Mathématiques appliquées, 2012, Cachan, Ecole normale supérieure

URL: http://www.theses.fr/2012DENS0051

►

Nous proposons dans cette thèse trois contributions principales aux méthodes d'apprentissage de dictionnaire. La première est un critère de parcimonie par groupes adapté à la… (more)

Subjects/Keywords: Apprentissage statistique; Factorisation en matrices positives; Normes structurées; Algorithme incrémental; Séparation de sources informée; Informed source separation; Incremental algorithms; Structured norms; Nonnegative matrix factorization

Record Details Similar Records

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

APA (6^{th} Edition):

Lefèvre, A. (2012). Dictionary learning methods for single-channel source separation : Méthodes d'apprentissage de dictionnaire pour la séparation de sources audio avec un seul capteur. (Doctoral Dissertation). Cachan, Ecole normale supérieure. Retrieved from http://www.theses.fr/2012DENS0051

Chicago Manual of Style (16^{th} Edition):

Lefèvre, Augustin. “Dictionary learning methods for single-channel source separation : Méthodes d'apprentissage de dictionnaire pour la séparation de sources audio avec un seul capteur.” 2012. Doctoral Dissertation, Cachan, Ecole normale supérieure. Accessed March 06, 2021. http://www.theses.fr/2012DENS0051.

MLA Handbook (7^{th} Edition):

Lefèvre, Augustin. “Dictionary learning methods for single-channel source separation : Méthodes d'apprentissage de dictionnaire pour la séparation de sources audio avec un seul capteur.” 2012. Web. 06 Mar 2021.

Vancouver:

Lefèvre A. Dictionary learning methods for single-channel source separation : Méthodes d'apprentissage de dictionnaire pour la séparation de sources audio avec un seul capteur. [Internet] [Doctoral dissertation]. Cachan, Ecole normale supérieure; 2012. [cited 2021 Mar 06]. Available from: http://www.theses.fr/2012DENS0051.

Council of Science Editors:

Lefèvre A. Dictionary learning methods for single-channel source separation : Méthodes d'apprentissage de dictionnaire pour la séparation de sources audio avec un seul capteur. [Doctoral Dissertation]. Cachan, Ecole normale supérieure; 2012. Available from: http://www.theses.fr/2012DENS0051

Queensland University of Technology

20. Chen, Brenden Chong. Robust image hash functions using higher order spectra.

Degree: 2012, Queensland University of Technology

URL: https://eprints.qut.edu.au/61087/

► Robust hashing is an emerging field that can be used to hash certain data types in applications unsuitable for traditional cryptographic hashing methods. Traditional hashing…
(more)

Subjects/Keywords: robust hashing; image hashing; higher order spectra; bispectrum; adaptive deterministic quantization; random projection; biometric template security; nonnegative matrix factorization; Fourier-Mellin; Gray code; distance distortion

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

APA (6^{th} Edition):

Chen, B. C. (2012). Robust image hash functions using higher order spectra. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/61087/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Chen, Brenden Chong. “Robust image hash functions using higher order spectra.” 2012. Thesis, Queensland University of Technology. Accessed March 06, 2021. https://eprints.qut.edu.au/61087/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chen, Brenden Chong. “Robust image hash functions using higher order spectra.” 2012. Web. 06 Mar 2021.

Vancouver:

Chen BC. Robust image hash functions using higher order spectra. [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2021 Mar 06]. Available from: https://eprints.qut.edu.au/61087/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen BC. Robust image hash functions using higher order spectra. [Thesis]. Queensland University of Technology; 2012. Available from: https://eprints.qut.edu.au/61087/

Not specified: Masters Thesis or Doctoral Dissertation

Université de Lorraine

21. Vo, Xuan Thanh. Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA : Learning with sparsity and uncertainty by Difference of Convex functions optimization.

Degree: Docteur es, Informatique, 2015, Université de Lorraine

URL: http://www.theses.fr/2015LORR0193

►

Dans cette thèse, nous nous concentrons sur le développement des méthodes d'optimisation pour résoudre certaines classes de problèmes d'apprentissage avec la parcimonie et/ou avec l'incertitude… (more)

Subjects/Keywords: Optimisation robuste; Programmation DC; DCA; Parcimonie; Factorisation en matrices non-Négatives; Apprentissage de dictionnaire; Robust optimization; DC programming; DCA; Sparsity; Nonnegative matrix factorization; Dictionary learning; 004.015 1; 511.8

Record Details Similar Records

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

APA (6^{th} Edition):

Vo, X. T. (2015). Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA : Learning with sparsity and uncertainty by Difference of Convex functions optimization. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2015LORR0193

Chicago Manual of Style (16^{th} Edition):

Vo, Xuan Thanh. “Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA : Learning with sparsity and uncertainty by Difference of Convex functions optimization.” 2015. Doctoral Dissertation, Université de Lorraine. Accessed March 06, 2021. http://www.theses.fr/2015LORR0193.

MLA Handbook (7^{th} Edition):

Vo, Xuan Thanh. “Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA : Learning with sparsity and uncertainty by Difference of Convex functions optimization.” 2015. Web. 06 Mar 2021.

Vancouver:

Vo XT. Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA : Learning with sparsity and uncertainty by Difference of Convex functions optimization. [Internet] [Doctoral dissertation]. Université de Lorraine; 2015. [cited 2021 Mar 06]. Available from: http://www.theses.fr/2015LORR0193.

Council of Science Editors:

Vo XT. Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA : Learning with sparsity and uncertainty by Difference of Convex functions optimization. [Doctoral Dissertation]. Université de Lorraine; 2015. Available from: http://www.theses.fr/2015LORR0193

22.
Mei, Jiali.
Time series recovery and prediction with regression-enhanced *nonnegative* *matrix* *factorization* applied to electricity consumption : Reconstitution et prédiction de séries temporelles avec la factorisation de matrice nonnégative augmentée de régression appliquée à la consommation électrique.

Degree: Docteur es, Mathématiques appliquées, 2017, Université Paris-Saclay (ComUE)

URL: http://www.theses.fr/2017SACLS578

►

Nous sommes intéressé par la reconstitution et la prédiction des séries temporelles multivariées à partir des données partiellement observées et/ou agrégées.La motivation du problème vient… (more)

Subjects/Keywords: Analyse spatiale; Séries chronologiques; Consommation électrique; Séparation de sources; Factorisation de matrice nonnégative; Spatial analysis; Times series; Electricity consumption; Source separation; Nonnegative matrix factorization

Record Details Similar Records

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

APA (6^{th} Edition):

Mei, J. (2017). Time series recovery and prediction with regression-enhanced nonnegative matrix factorization applied to electricity consumption : Reconstitution et prédiction de séries temporelles avec la factorisation de matrice nonnégative augmentée de régression appliquée à la consommation électrique. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2017SACLS578

Chicago Manual of Style (16^{th} Edition):

Mei, Jiali. “Time series recovery and prediction with regression-enhanced nonnegative matrix factorization applied to electricity consumption : Reconstitution et prédiction de séries temporelles avec la factorisation de matrice nonnégative augmentée de régression appliquée à la consommation électrique.” 2017. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 06, 2021. http://www.theses.fr/2017SACLS578.

MLA Handbook (7^{th} Edition):

Mei, Jiali. “Time series recovery and prediction with regression-enhanced nonnegative matrix factorization applied to electricity consumption : Reconstitution et prédiction de séries temporelles avec la factorisation de matrice nonnégative augmentée de régression appliquée à la consommation électrique.” 2017. Web. 06 Mar 2021.

Vancouver:

Mei J. Time series recovery and prediction with regression-enhanced nonnegative matrix factorization applied to electricity consumption : Reconstitution et prédiction de séries temporelles avec la factorisation de matrice nonnégative augmentée de régression appliquée à la consommation électrique. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2017. [cited 2021 Mar 06]. Available from: http://www.theses.fr/2017SACLS578.

Council of Science Editors:

Mei J. Time series recovery and prediction with regression-enhanced nonnegative matrix factorization applied to electricity consumption : Reconstitution et prédiction de séries temporelles avec la factorisation de matrice nonnégative augmentée de régression appliquée à la consommation électrique. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2017. Available from: http://www.theses.fr/2017SACLS578

23.
LIU ZHAOQIANG.
THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO *MATRIX* * FACTORIZATION*.

Degree: 2017, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/138222

Subjects/Keywords: clustering; k-means; mixture models; dimensionality reduction; error bounds; nonnegative matrix factorization

Record Details Similar Records

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

APA (6^{th} Edition):

ZHAOQIANG, L. (2017). THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/138222

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

ZHAOQIANG, LIU. “THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION.” 2017. Thesis, National University of Singapore. Accessed March 06, 2021. http://scholarbank.nus.edu.sg/handle/10635/138222.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

ZHAOQIANG, LIU. “THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION.” 2017. Web. 06 Mar 2021.

Vancouver:

ZHAOQIANG L. THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION. [Internet] [Thesis]. National University of Singapore; 2017. [cited 2021 Mar 06]. Available from: http://scholarbank.nus.edu.sg/handle/10635/138222.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

ZHAOQIANG L. THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION. [Thesis]. National University of Singapore; 2017. Available from: http://scholarbank.nus.edu.sg/handle/10635/138222

Not specified: Masters Thesis or Doctoral Dissertation

24.
Maddali, Vinay.
Speech denoising using *nonnegative* *matrix* *factorization* and neural networks.

Degree: MS, Electrical & Computer Engineering, 2015, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/88986

► The main goal of this research is to do source separation of single-channel mixed signals such that we get a clean representation of each source.…
(more)

Subjects/Keywords: Nonnegative matrix factorization; neural networks; speech denoising; source separation

…denoising: *nonnegative* *matrix*
*factorization* and neural networks. We have shown the performance of… …CHAPTER 2
*NONNEGATIVE* *MATRIX*
*FACTORIZATION*
2.1 NMF INTRODUCTION
The first method we used to… …solve this problem of speech denoising is one
using *nonnegative* *matrix* *factorization* (NMF… …MODIFIED NMF ALGORITHM
*Nonnegative* *matrix* *factorization* (NMF) and probabilistic latent… …modified approach as Block Kullback-Liebler *nonnegative*
*matrix* *factorization* (BKL-NMF)…

Record Details Similar Records

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

APA (6^{th} Edition):

Maddali, V. (2015). Speech denoising using nonnegative matrix factorization and neural networks. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88986

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Maddali, Vinay. “Speech denoising using nonnegative matrix factorization and neural networks.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed March 06, 2021. http://hdl.handle.net/2142/88986.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Maddali, Vinay. “Speech denoising using nonnegative matrix factorization and neural networks.” 2015. Web. 06 Mar 2021.

Vancouver:

Maddali V. Speech denoising using nonnegative matrix factorization and neural networks. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/2142/88986.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maddali V. Speech denoising using nonnegative matrix factorization and neural networks. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88986

Not specified: Masters Thesis or Doctoral Dissertation

25. Traitruengsakul, Supachan. Automatic Localization of Epileptic Spikes in EEGs of Children with Infantile Spasms.

Degree: MS, Electrical Engineering, 2015, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/8867

► Infantile Spasms (ISS) characterized by electroencephalogram (EEG) recordings exhibiting hypsarrythmia (HYPS) are a severe form of epilepsy. Many clinicians have been trying to improve…
(more)

Subjects/Keywords: Classification; Feature extraction; Hypsarrythmia; Nonnegative matrix factorization; Time-frequency representations

…submatrices using *nonnegative* *matrix* factorizations (NMF), and employ the decomposed… …x28;TFD) analysis and non-negative *matrix* *factorization* (NMF) to extract TF… …Analysis (PCA), and Non-Negative *Matrix* *Factorization* (NMF). Their common… …recording using matching pursuit TFD (MP-TFD), decompose the TFD *matrix* into two… …Representations
2.2 Part B: *Matrix* Decomposition . . . . . . . . . . . . . . . . .
2.3 Part C: Feature…

Record Details Similar Records

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

APA (6^{th} Edition):

Traitruengsakul, S. (2015). Automatic Localization of Epileptic Spikes in EEGs of Children with Infantile Spasms. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8867

Chicago Manual of Style (16^{th} Edition):

Traitruengsakul, Supachan. “Automatic Localization of Epileptic Spikes in EEGs of Children with Infantile Spasms.” 2015. Masters Thesis, Rochester Institute of Technology. Accessed March 06, 2021. https://scholarworks.rit.edu/theses/8867.

MLA Handbook (7^{th} Edition):

Traitruengsakul, Supachan. “Automatic Localization of Epileptic Spikes in EEGs of Children with Infantile Spasms.” 2015. Web. 06 Mar 2021.

Vancouver:

Traitruengsakul S. Automatic Localization of Epileptic Spikes in EEGs of Children with Infantile Spasms. [Internet] [Masters thesis]. Rochester Institute of Technology; 2015. [cited 2021 Mar 06]. Available from: https://scholarworks.rit.edu/theses/8867.

Council of Science Editors:

Traitruengsakul S. Automatic Localization of Epileptic Spikes in EEGs of Children with Infantile Spasms. [Masters Thesis]. Rochester Institute of Technology; 2015. Available from: https://scholarworks.rit.edu/theses/8867

University of Vienna

26. Janecek, Andreas. Efficient feature reduction and classification methods.

Degree: 2009, University of Vienna

URL: http://othes.univie.ac.at/8205/

► Durch die steigende Anzahl verfügbarer Daten in unterschiedlichsten Anwendungsgebieten nimmt der Aufwand vieler Data-Mining Applikationen signifikant zu. Speziell hochdimensionierte Daten (Daten die über viele verschiedene…
(more)

Subjects/Keywords: 54.72 Künstliche Intelligenz; 54.99 Informatik: Sonstiges; Feature Selection / Feature Reduction / Dimensionality Reduction / Klassifikation / NMF / Nonnegative Matrix Factorization; Feature reduction / dimensionality reduction / classification / NMF / nonnegative matrix factorization

Record Details Similar Records

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

APA (6^{th} Edition):

Janecek, A. (2009). Efficient feature reduction and classification methods. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/8205/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Janecek, Andreas. “Efficient feature reduction and classification methods.” 2009. Thesis, University of Vienna. Accessed March 06, 2021. http://othes.univie.ac.at/8205/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Janecek, Andreas. “Efficient feature reduction and classification methods.” 2009. Web. 06 Mar 2021.

Vancouver:

Janecek A. Efficient feature reduction and classification methods. [Internet] [Thesis]. University of Vienna; 2009. [cited 2021 Mar 06]. Available from: http://othes.univie.ac.at/8205/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Janecek A. Efficient feature reduction and classification methods. [Thesis]. University of Vienna; 2009. Available from: http://othes.univie.ac.at/8205/

Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

27.
Lorenz, Florian M.
Sequentially-fit alternating least squares algorithms in *nonnegative* *matrix* * factorization*.

Degree: MA, 0338, 2010, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/16196

► *Nonnegative* *matrix* *factorization* (NMF) and *nonnegative* least squares regression (NNLS regression) are widely used in the physical sciences; this thesis explores the often-overlooked origins of…
(more)

Subjects/Keywords: Nonnegative Matrix Factorization (NMF); Sequential Fitting (SEFIT); Alternating Least Squares (ALS); Nonnegative Least Squares (NNLS)

Record Details Similar Records

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

APA (6^{th} Edition):

Lorenz, F. M. (2010). Sequentially-fit alternating least squares algorithms in nonnegative matrix factorization. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16196

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Lorenz, Florian M. “Sequentially-fit alternating least squares algorithms in nonnegative matrix factorization.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed March 06, 2021. http://hdl.handle.net/2142/16196.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lorenz, Florian M. “Sequentially-fit alternating least squares algorithms in nonnegative matrix factorization.” 2010. Web. 06 Mar 2021.

Vancouver:

Lorenz FM. Sequentially-fit alternating least squares algorithms in nonnegative matrix factorization. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/2142/16196.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lorenz FM. Sequentially-fit alternating least squares algorithms in nonnegative matrix factorization. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16196

Not specified: Masters Thesis or Doctoral Dissertation

28.
Kuang, Da.
*Nonnegative**matrix* *factorization* for clustering.

Degree: PhD, Computational Science and Engineering, 2014, Georgia Tech

URL: http://hdl.handle.net/1853/52299

► This dissertation shows that *nonnegative* *matrix* *factorization* (NMF) can be extended to a general and efficient clustering method. Clustering is one of the fundamental tasks…
(more)

Subjects/Keywords: Nonnegative matrix factorization; Cluster analysis; Hierarchical clustering; Cancer subtype discovery; GPU computing; Sparse matrix multiplication

…128
xii
SUMMARY
This dissertation shows that *nonnegative* *matrix* *factorization* (NMF… …*Factorization*
In *nonnegative* *matrix* *factorization*, given a *nonnegative* *matrix* X ∈ Rm×n
and k ≤
+
min… …method that approximates a *nonnegative* *matrix* by the product
of two lower rank *nonnegative*… …*nonnegative* data *matrix*. However,
challenges in the widespread use of NMF as a clustering method lie… …documents.
xiv
CHAPTER I
INTRODUCTION
This dissertation shows that *nonnegative* *matrix*…

Record Details Similar Records

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

APA (6^{th} Edition):

Kuang, D. (2014). Nonnegative matrix factorization for clustering. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52299

Chicago Manual of Style (16^{th} Edition):

Kuang, Da. “Nonnegative matrix factorization for clustering.” 2014. Doctoral Dissertation, Georgia Tech. Accessed March 06, 2021. http://hdl.handle.net/1853/52299.

MLA Handbook (7^{th} Edition):

Kuang, Da. “Nonnegative matrix factorization for clustering.” 2014. Web. 06 Mar 2021.

Vancouver:

Kuang D. Nonnegative matrix factorization for clustering. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1853/52299.

Council of Science Editors:

Kuang D. Nonnegative matrix factorization for clustering. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52299

29. Nguyen, Duy Khuong. 非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム.

Degree: 博士（知識科学）, 2016, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学

URL: http://hdl.handle.net/10119/13512

Supervisor:Ho Bao Tu

知識科学研究科

博士

Subjects/Keywords: Rich models; fast algorithms; nonnegative matrix factorization; parallel and distributed; Frobenius norm; KL divergence

Record Details Similar Records

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

APA (6^{th} Edition):

Nguyen, D. K. (2016). 非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム. (Thesis). Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10119/13512

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Nguyen, Duy Khuong. “非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム.” 2016. Thesis, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Accessed March 06, 2021. http://hdl.handle.net/10119/13512.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Nguyen, Duy Khuong. “非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム.” 2016. Web. 06 Mar 2021.

Vancouver:

Nguyen DK. 非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム. [Internet] [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10119/13512.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nguyen DK. 非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム. [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; 2016. Available from: http://hdl.handle.net/10119/13512

Not specified: Masters Thesis or Doctoral Dissertation

30. Warmsley, Dana. On the Detection of Hate Speech, Hate Speakers and Polarized Groups in Online Social Media.

Degree: PhD, Applied Mathematics, 2017, Cornell University

URL: http://hdl.handle.net/1813/59146

► The objective of this dissertation is to explore the use of machine learning algorithms in understanding and detecting hate speech, hate speakers and polarized groups…
(more)

Subjects/Keywords: hate speech; nonnegative matrix factorization; polarization; Classification; Applied mathematics; Computer science; Sociology; machine learning

…5.2
5.3
5.4
5.5
5.6
5.7
5.8
*Nonnegative* *Matrix* *Factorization* Algorithm Notation
*Nonnegative*… …5.2 Related Work . . . . . . . . . . . . . . . . . . . . .
5.3 A *Nonnegative* *Matrix*… …*Matrix* *Factorization* Algorithm . . . . .
Polarization Dataset Statistics… …Finally,
chapter 5 presents a non-negative *matrix* *factorization* algorithm for uncovering… …*Factorization* Approach . .
5.3.1 NMF on a Tripartite Graph . . . . . . . . .
5.3.2 Regularization…

Record Details Similar Records

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

APA (6^{th} Edition):

Warmsley, D. (2017). On the Detection of Hate Speech, Hate Speakers and Polarized Groups in Online Social Media. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59146

Chicago Manual of Style (16^{th} Edition):

Warmsley, Dana. “On the Detection of Hate Speech, Hate Speakers and Polarized Groups in Online Social Media.” 2017. Doctoral Dissertation, Cornell University. Accessed March 06, 2021. http://hdl.handle.net/1813/59146.

MLA Handbook (7^{th} Edition):

Warmsley, Dana. “On the Detection of Hate Speech, Hate Speakers and Polarized Groups in Online Social Media.” 2017. Web. 06 Mar 2021.

Vancouver:

Warmsley D. On the Detection of Hate Speech, Hate Speakers and Polarized Groups in Online Social Media. [Internet] [Doctoral dissertation]. Cornell University; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1813/59146.

Council of Science Editors:

Warmsley D. On the Detection of Hate Speech, Hate Speakers and Polarized Groups in Online Social Media. [Doctoral Dissertation]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/59146