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You searched for subject:(Singular Value Decomposition). Showing records 1 – 30 of 160 total matches.

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University of Georgia

1. Martin, Jacob Gilmore. Singular value decomposition for information retrieval, graph bisection, and genetic algorithms.

Degree: PhD, Computer Science, 2005, University of Georgia

Singular value decomposition's usefulness in graph bisection,genetic algorithms, and information retrieval is studied. An infor-mation retrieval theorem about latent semantic indexing (LSI) ispresented in detail.… (more)

Subjects/Keywords: Singular Value Decomposition

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APA (6th Edition):

Martin, J. G. (2005). Singular value decomposition for information retrieval, graph bisection, and genetic algorithms. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/martin_jacob_g_200512_phd

Chicago Manual of Style (16th Edition):

Martin, Jacob Gilmore. “Singular value decomposition for information retrieval, graph bisection, and genetic algorithms.” 2005. Doctoral Dissertation, University of Georgia. Accessed June 04, 2020. http://purl.galileo.usg.edu/uga_etd/martin_jacob_g_200512_phd.

MLA Handbook (7th Edition):

Martin, Jacob Gilmore. “Singular value decomposition for information retrieval, graph bisection, and genetic algorithms.” 2005. Web. 04 Jun 2020.

Vancouver:

Martin JG. Singular value decomposition for information retrieval, graph bisection, and genetic algorithms. [Internet] [Doctoral dissertation]. University of Georgia; 2005. [cited 2020 Jun 04]. Available from: http://purl.galileo.usg.edu/uga_etd/martin_jacob_g_200512_phd.

Council of Science Editors:

Martin JG. Singular value decomposition for information retrieval, graph bisection, and genetic algorithms. [Doctoral Dissertation]. University of Georgia; 2005. Available from: http://purl.galileo.usg.edu/uga_etd/martin_jacob_g_200512_phd

2. Behzadian, Bahram. Feature Selection by Singular Value Decomposition for Reinforcement Learning.

Degree: MS, 2019, University of New Hampshire

  Solving reinforcement learning problems using value function approximation requires having good state features, but constructing them manually is often difficult or impossible. We propose… (more)

Subjects/Keywords: Feature Selection; linear value function approximation; Reinforcement Learning; Singular Value Decomposition

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APA (6th Edition):

Behzadian, B. (2019). Feature Selection by Singular Value Decomposition for Reinforcement Learning. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1267

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):

Behzadian, Bahram. “Feature Selection by Singular Value Decomposition for Reinforcement Learning.” 2019. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/1267.

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

MLA Handbook (7th Edition):

Behzadian, Bahram. “Feature Selection by Singular Value Decomposition for Reinforcement Learning.” 2019. Web. 04 Jun 2020.

Vancouver:

Behzadian B. Feature Selection by Singular Value Decomposition for Reinforcement Learning. [Internet] [Thesis]. University of New Hampshire; 2019. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/1267.

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

Council of Science Editors:

Behzadian B. Feature Selection by Singular Value Decomposition for Reinforcement Learning. [Thesis]. University of New Hampshire; 2019. Available from: https://scholars.unh.edu/thesis/1267

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


Iowa State University

3. Wang, Xinying. Using reconfigurable computing technology to accelerate matrix decomposition and applications.

Degree: 2016, Iowa State University

 Matrix decomposition plays an increasingly significant role in many scientific and engineering applications. Among numerous techniques, Singular Value Decomposition (SVD) and Eigenvalue Decomposition (EVD) are… (more)

Subjects/Keywords: Computer architecture; FPGA; Matrix Decomposition; QR Decomposition; Reconfigurable computing technology; Singular Value Decomposition; Computer Engineering

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APA (6th Edition):

Wang, X. (2016). Using reconfigurable computing technology to accelerate matrix decomposition and applications. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/15834

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):

Wang, Xinying. “Using reconfigurable computing technology to accelerate matrix decomposition and applications.” 2016. Thesis, Iowa State University. Accessed June 04, 2020. https://lib.dr.iastate.edu/etd/15834.

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

MLA Handbook (7th Edition):

Wang, Xinying. “Using reconfigurable computing technology to accelerate matrix decomposition and applications.” 2016. Web. 04 Jun 2020.

Vancouver:

Wang X. Using reconfigurable computing technology to accelerate matrix decomposition and applications. [Internet] [Thesis]. Iowa State University; 2016. [cited 2020 Jun 04]. Available from: https://lib.dr.iastate.edu/etd/15834.

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

Council of Science Editors:

Wang X. Using reconfigurable computing technology to accelerate matrix decomposition and applications. [Thesis]. Iowa State University; 2016. Available from: https://lib.dr.iastate.edu/etd/15834

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


Dalhousie University

4. Abeysundera, Melanie. Phylogenetic analysis of multiple genes based on spectral methods.

Degree: PhD, Department of Mathematics & Statistics - Statistics Division, 2011, Dalhousie University

 Multiple gene phylogenetic analysis is of interest since single gene analysis often results in poorly resolved trees. Here the use of spectral techniques for analyzing… (more)

Subjects/Keywords: Phylogenetics; spectral analysis; spectral covariance; singular value decomposition

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APA (6th Edition):

Abeysundera, M. (2011). Phylogenetic analysis of multiple genes based on spectral methods. (Doctoral Dissertation). Dalhousie University. Retrieved from http://hdl.handle.net/10222/14310

Chicago Manual of Style (16th Edition):

Abeysundera, Melanie. “Phylogenetic analysis of multiple genes based on spectral methods.” 2011. Doctoral Dissertation, Dalhousie University. Accessed June 04, 2020. http://hdl.handle.net/10222/14310.

MLA Handbook (7th Edition):

Abeysundera, Melanie. “Phylogenetic analysis of multiple genes based on spectral methods.” 2011. Web. 04 Jun 2020.

Vancouver:

Abeysundera M. Phylogenetic analysis of multiple genes based on spectral methods. [Internet] [Doctoral dissertation]. Dalhousie University; 2011. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10222/14310.

Council of Science Editors:

Abeysundera M. Phylogenetic analysis of multiple genes based on spectral methods. [Doctoral Dissertation]. Dalhousie University; 2011. Available from: http://hdl.handle.net/10222/14310


University of Utah

5. Alpert, Benjamin O. Generalized singular value decomposition of genomic profiles predicts gliobastoma survival.

Degree: MS, Bioengineering, 2012, University of Utah

 Despite recent large-scale proling efforts, the best prognostic predictor of glioblastoma multiforme (GBM) remains the patient's age at diagnosis. We describe a global pattern of… (more)

Subjects/Keywords: Gliobastoma survival; Genomic profiling; Generalized singular value decomposition

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APA (6th Edition):

Alpert, B. O. (2012). Generalized singular value decomposition of genomic profiles predicts gliobastoma survival. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/1799/rec/1102

Chicago Manual of Style (16th Edition):

Alpert, Benjamin O. “Generalized singular value decomposition of genomic profiles predicts gliobastoma survival.” 2012. Masters Thesis, University of Utah. Accessed June 04, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/1799/rec/1102.

MLA Handbook (7th Edition):

Alpert, Benjamin O. “Generalized singular value decomposition of genomic profiles predicts gliobastoma survival.” 2012. Web. 04 Jun 2020.

Vancouver:

Alpert BO. Generalized singular value decomposition of genomic profiles predicts gliobastoma survival. [Internet] [Masters thesis]. University of Utah; 2012. [cited 2020 Jun 04]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/1799/rec/1102.

Council of Science Editors:

Alpert BO. Generalized singular value decomposition of genomic profiles predicts gliobastoma survival. [Masters Thesis]. University of Utah; 2012. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/1799/rec/1102


Temple University

6. Campbell, Kathlleen. Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements.

Degree: PhD, 2014, Temple University

Statistics

The practice of ranking objects, events, and people to determine relevance, importance, or competitive edge is ancient. Recently, the use of rankings has permeated… (more)

Subjects/Keywords: Statistics;

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APA (6th Edition):

Campbell, K. (2014). Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,284578

Chicago Manual of Style (16th Edition):

Campbell, Kathlleen. “Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements.” 2014. Doctoral Dissertation, Temple University. Accessed June 04, 2020. http://digital.library.temple.edu/u?/p245801coll10,284578.

MLA Handbook (7th Edition):

Campbell, Kathlleen. “Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements.” 2014. Web. 04 Jun 2020.

Vancouver:

Campbell K. Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements. [Internet] [Doctoral dissertation]. Temple University; 2014. [cited 2020 Jun 04]. Available from: http://digital.library.temple.edu/u?/p245801coll10,284578.

Council of Science Editors:

Campbell K. Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements. [Doctoral Dissertation]. Temple University; 2014. Available from: http://digital.library.temple.edu/u?/p245801coll10,284578


Anna University

7. Balasubramani M. Investigation on performance analysis of Hybrid classifiers hmm neural networks Extreme learning machines and FPGA Implementation of WNN for classification of Epilepsy risk levels from EEG signals;.

Degree: Investigation on performance analysis of Hybrid classifiers hmm neural networks Extreme learning machines and FPGA Implementation of WNN for classification of Epilepsy risk levels from EEG signals, 2015, Anna University

Epilepsy is a chronic neurological disorder of the brain newlineapproximately 1 of the world population suffers from epilepsy Epilepsy is newlinecharacterized by recurrent seizures that… (more)

Subjects/Keywords: Independent Component Analysis; Principal Component Analysis; Singular Value Decomposition

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APA (6th Edition):

M, B. (2015). Investigation on performance analysis of Hybrid classifiers hmm neural networks Extreme learning machines and FPGA Implementation of WNN for classification of Epilepsy risk levels from EEG signals;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/39868

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):

M, Balasubramani. “Investigation on performance analysis of Hybrid classifiers hmm neural networks Extreme learning machines and FPGA Implementation of WNN for classification of Epilepsy risk levels from EEG signals;.” 2015. Thesis, Anna University. Accessed June 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/39868.

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

MLA Handbook (7th Edition):

M, Balasubramani. “Investigation on performance analysis of Hybrid classifiers hmm neural networks Extreme learning machines and FPGA Implementation of WNN for classification of Epilepsy risk levels from EEG signals;.” 2015. Web. 04 Jun 2020.

Vancouver:

M B. Investigation on performance analysis of Hybrid classifiers hmm neural networks Extreme learning machines and FPGA Implementation of WNN for classification of Epilepsy risk levels from EEG signals;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Jun 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/39868.

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

Council of Science Editors:

M B. Investigation on performance analysis of Hybrid classifiers hmm neural networks Extreme learning machines and FPGA Implementation of WNN for classification of Epilepsy risk levels from EEG signals;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/39868

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


University of Georgia

8. Jahangeer, Khalid. An open science approach to exploring time-accuracy trade-offs in recommender systems.

Degree: MS, Computer Science, 2017, University of Georgia

 Recommender Systems have become an integral part of our consumer dominated world. With the evolution of Big Data and the exponential expansion of consumerism it… (more)

Subjects/Keywords: Recommender Systems; Collaborative Filtering; Matrix Factorization; Singular Value Decomposition

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APA (6th Edition):

Jahangeer, K. (2017). An open science approach to exploring time-accuracy trade-offs in recommender systems. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37801

Chicago Manual of Style (16th Edition):

Jahangeer, Khalid. “An open science approach to exploring time-accuracy trade-offs in recommender systems.” 2017. Masters Thesis, University of Georgia. Accessed June 04, 2020. http://hdl.handle.net/10724/37801.

MLA Handbook (7th Edition):

Jahangeer, Khalid. “An open science approach to exploring time-accuracy trade-offs in recommender systems.” 2017. Web. 04 Jun 2020.

Vancouver:

Jahangeer K. An open science approach to exploring time-accuracy trade-offs in recommender systems. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10724/37801.

Council of Science Editors:

Jahangeer K. An open science approach to exploring time-accuracy trade-offs in recommender systems. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37801


Virginia Tech

9. Love, Andrew R. Automatically Locating Sensor Position on an E-textile Garment Via Pattern Recognition.

Degree: MS, Electrical and Computer Engineering, 2009, Virginia Tech

 Electronic textiles are a sound platform for wearable computing. Many applications have been devised that use sensors placed on these textiles for fields such as… (more)

Subjects/Keywords: E-Textiles; Singular Value Decomposition

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APA (6th Edition):

Love, A. R. (2009). Automatically Locating Sensor Position on an E-textile Garment Via Pattern Recognition. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35374

Chicago Manual of Style (16th Edition):

Love, Andrew R. “Automatically Locating Sensor Position on an E-textile Garment Via Pattern Recognition.” 2009. Masters Thesis, Virginia Tech. Accessed June 04, 2020. http://hdl.handle.net/10919/35374.

MLA Handbook (7th Edition):

Love, Andrew R. “Automatically Locating Sensor Position on an E-textile Garment Via Pattern Recognition.” 2009. Web. 04 Jun 2020.

Vancouver:

Love AR. Automatically Locating Sensor Position on an E-textile Garment Via Pattern Recognition. [Internet] [Masters thesis]. Virginia Tech; 2009. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10919/35374.

Council of Science Editors:

Love AR. Automatically Locating Sensor Position on an E-textile Garment Via Pattern Recognition. [Masters Thesis]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/35374


University of Ghana

10. Danso, C.A. Recognition of Face Images Under Varying Expressions using Discrete Wavelet Transform and Principal Component Analysis with Singular Value Decomposition .

Degree: 2018, University of Ghana

 The face is the most widely used part of the human body for recognition. Automated face recognition is all about transferring an inherent trait in… (more)

Subjects/Keywords: Discrete Wavelet; Principal Component Analysis; Face recognition; Singular Value Decomposition

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APA (6th Edition):

Danso, C. A. (2018). Recognition of Face Images Under Varying Expressions using Discrete Wavelet Transform and Principal Component Analysis with Singular Value Decomposition . (Masters Thesis). University of Ghana. Retrieved from http://ugspace.ug.edu.gh/handle/123456789/30396

Chicago Manual of Style (16th Edition):

Danso, C A. “Recognition of Face Images Under Varying Expressions using Discrete Wavelet Transform and Principal Component Analysis with Singular Value Decomposition .” 2018. Masters Thesis, University of Ghana. Accessed June 04, 2020. http://ugspace.ug.edu.gh/handle/123456789/30396.

MLA Handbook (7th Edition):

Danso, C A. “Recognition of Face Images Under Varying Expressions using Discrete Wavelet Transform and Principal Component Analysis with Singular Value Decomposition .” 2018. Web. 04 Jun 2020.

Vancouver:

Danso CA. Recognition of Face Images Under Varying Expressions using Discrete Wavelet Transform and Principal Component Analysis with Singular Value Decomposition . [Internet] [Masters thesis]. University of Ghana; 2018. [cited 2020 Jun 04]. Available from: http://ugspace.ug.edu.gh/handle/123456789/30396.

Council of Science Editors:

Danso CA. Recognition of Face Images Under Varying Expressions using Discrete Wavelet Transform and Principal Component Analysis with Singular Value Decomposition . [Masters Thesis]. University of Ghana; 2018. Available from: http://ugspace.ug.edu.gh/handle/123456789/30396


Michigan Technological University

11. Roberts, Matthew Jacob. Approximation of the Generalized Singular Value Expansion.

Degree: PhD, Department of Mathematical Sciences, 2019, Michigan Technological University

  Let X, Y, and Z be real separable Hilbert spaces, let T:X  →  Y be a compact operator, and let L:D(L)  →  Z be… (more)

Subjects/Keywords: Generalized; Singular; Value; Decomposition; Expansion; Approximating; Numerical Analysis and Computation

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APA (6th Edition):

Roberts, M. J. (2019). Approximation of the Generalized Singular Value Expansion. (Doctoral Dissertation). Michigan Technological University. Retrieved from https://digitalcommons.mtu.edu/etdr/829

Chicago Manual of Style (16th Edition):

Roberts, Matthew Jacob. “Approximation of the Generalized Singular Value Expansion.” 2019. Doctoral Dissertation, Michigan Technological University. Accessed June 04, 2020. https://digitalcommons.mtu.edu/etdr/829.

MLA Handbook (7th Edition):

Roberts, Matthew Jacob. “Approximation of the Generalized Singular Value Expansion.” 2019. Web. 04 Jun 2020.

Vancouver:

Roberts MJ. Approximation of the Generalized Singular Value Expansion. [Internet] [Doctoral dissertation]. Michigan Technological University; 2019. [cited 2020 Jun 04]. Available from: https://digitalcommons.mtu.edu/etdr/829.

Council of Science Editors:

Roberts MJ. Approximation of the Generalized Singular Value Expansion. [Doctoral Dissertation]. Michigan Technological University; 2019. Available from: https://digitalcommons.mtu.edu/etdr/829


Linnaeus University

12. Qamar, Aamir; Din, Islamud. Analysis of Spherical Harmonics and Singular Value Decomposition as Compression Tools in Image Processing.

Degree: Physics and Mathematics, 2012, Linnaeus University

  Spherical Harmonics (SPHARM) and Singular Value Decomposition (SVD) utilize the orthogonal relations of its parameters to represent and process images. The process involve mapping… (more)

Subjects/Keywords: Spherical Harmonics and Singular Value Decomposition; Signal Processing; Signalbehandling

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APA (6th Edition):

Qamar, Aamir; Din, I. (2012). Analysis of Spherical Harmonics and Singular Value Decomposition as Compression Tools in Image Processing. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-18608

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):

Qamar, Aamir; Din, Islamud. “Analysis of Spherical Harmonics and Singular Value Decomposition as Compression Tools in Image Processing.” 2012. Thesis, Linnaeus University. Accessed June 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-18608.

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

MLA Handbook (7th Edition):

Qamar, Aamir; Din, Islamud. “Analysis of Spherical Harmonics and Singular Value Decomposition as Compression Tools in Image Processing.” 2012. Web. 04 Jun 2020.

Vancouver:

Qamar, Aamir; Din I. Analysis of Spherical Harmonics and Singular Value Decomposition as Compression Tools in Image Processing. [Internet] [Thesis]. Linnaeus University; 2012. [cited 2020 Jun 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-18608.

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

Council of Science Editors:

Qamar, Aamir; Din I. Analysis of Spherical Harmonics and Singular Value Decomposition as Compression Tools in Image Processing. [Thesis]. Linnaeus University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-18608

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


Linnaeus University

13. Ek, Christoffer. Singular Value Decomposition.

Degree: Physics and Mathematics, 2012, Linnaeus University

Digital information och kommunikation genom digitala medier är ett växande område. E-post och andra kommunikationsmedel används dagligen över hela världen. Parallellt med att området… (more)

Subjects/Keywords: SVD; Singular value decomposition; signal processing; Signal Processing; Signalbehandling

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APA (6th Edition):

Ek, C. (2012). Singular Value Decomposition. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-21481

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):

Ek, Christoffer. “Singular Value Decomposition.” 2012. Thesis, Linnaeus University. Accessed June 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-21481.

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

MLA Handbook (7th Edition):

Ek, Christoffer. “Singular Value Decomposition.” 2012. Web. 04 Jun 2020.

Vancouver:

Ek C. Singular Value Decomposition. [Internet] [Thesis]. Linnaeus University; 2012. [cited 2020 Jun 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-21481.

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

Council of Science Editors:

Ek C. Singular Value Decomposition. [Thesis]. Linnaeus University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-21481

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


University of Waterloo

14. Waraich, Saad Ahmed. Robust Eigen-Filter Design for Ultrasound Flow Imaging Using a Multivariate Clustering.

Degree: 2020, University of Waterloo

 Blood flow visualization is a challenging task in the presence of tissue motion. Unsuppressed tissue clutter produces flashing artefacts in ultrasound flow imaging which hampers… (more)

Subjects/Keywords: singular value decomposition; ultrasound imaging; unsupervised learning; clustering

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APA (6th Edition):

Waraich, S. A. (2020). Robust Eigen-Filter Design for Ultrasound Flow Imaging Using a Multivariate Clustering. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15544

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):

Waraich, Saad Ahmed. “Robust Eigen-Filter Design for Ultrasound Flow Imaging Using a Multivariate Clustering.” 2020. Thesis, University of Waterloo. Accessed June 04, 2020. http://hdl.handle.net/10012/15544.

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

MLA Handbook (7th Edition):

Waraich, Saad Ahmed. “Robust Eigen-Filter Design for Ultrasound Flow Imaging Using a Multivariate Clustering.” 2020. Web. 04 Jun 2020.

Vancouver:

Waraich SA. Robust Eigen-Filter Design for Ultrasound Flow Imaging Using a Multivariate Clustering. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10012/15544.

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

Council of Science Editors:

Waraich SA. Robust Eigen-Filter Design for Ultrasound Flow Imaging Using a Multivariate Clustering. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/15544

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

15. Moger, Michael. Classification of Arbitrary Motion into a Canonical Basis.

Degree: MS, 2018, University of New Hampshire

 The Empatica E4 wristwatch utilizes four sensors to capture medical data from its user - an accelerometer, a plethysmograph, an electro-dermal activity sensor, and an… (more)

Subjects/Keywords: Empatica; Machine learning; Matching pursuit; Signal classification; Singular value decomposition

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APA (6th Edition):

Moger, M. (2018). Classification of Arbitrary Motion into a Canonical Basis. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1258

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):

Moger, Michael. “Classification of Arbitrary Motion into a Canonical Basis.” 2018. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/1258.

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

MLA Handbook (7th Edition):

Moger, Michael. “Classification of Arbitrary Motion into a Canonical Basis.” 2018. Web. 04 Jun 2020.

Vancouver:

Moger M. Classification of Arbitrary Motion into a Canonical Basis. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/1258.

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

Council of Science Editors:

Moger M. Classification of Arbitrary Motion into a Canonical Basis. [Thesis]. University of New Hampshire; 2018. Available from: https://scholars.unh.edu/thesis/1258

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


Virginia Tech

16. Beach, Benjamin Josiah. An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition.

Degree: MS, Mathematics, 2018, Virginia Tech

 Proper Orthogonal Decomposition (POD), combined with the Method of Snapshots and Galerkin projection, is a popular method for the model order reduction of nonlinear PDEs.… (more)

Subjects/Keywords: Reduced Order Modeling; Proper Orthogonal Decomposition; Truncated Singular Value Decomposition; Parallel Computing; Mine Fire Dynamics

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

APA (6th Edition):

Beach, B. J. (2018). An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81938

Chicago Manual of Style (16th Edition):

Beach, Benjamin Josiah. “An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition.” 2018. Masters Thesis, Virginia Tech. Accessed June 04, 2020. http://hdl.handle.net/10919/81938.

MLA Handbook (7th Edition):

Beach, Benjamin Josiah. “An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition.” 2018. Web. 04 Jun 2020.

Vancouver:

Beach BJ. An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10919/81938.

Council of Science Editors:

Beach BJ. An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81938


University of Cincinnati

17. Deshpande, Shrirang. Improving observability in experimental analysis of rotating systems.

Degree: MS, Engineering and Applied Science: Mechanical Engineering, 2014, University of Cincinnati

 The vast field of rotational systems – including measurement capabilities, analytical tools and observability – is still evolving. Spectral maps and order tracks are the… (more)

Subjects/Keywords: Engineering; Rotating systems; Singular value decomposition; Experimental analysis; Modal analysis; Digital signal processing; Spectral mapping

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

APA (6th Edition):

Deshpande, S. (2014). Improving observability in experimental analysis of rotating systems. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1414750479

Chicago Manual of Style (16th Edition):

Deshpande, Shrirang. “Improving observability in experimental analysis of rotating systems.” 2014. Masters Thesis, University of Cincinnati. Accessed June 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1414750479.

MLA Handbook (7th Edition):

Deshpande, Shrirang. “Improving observability in experimental analysis of rotating systems.” 2014. Web. 04 Jun 2020.

Vancouver:

Deshpande S. Improving observability in experimental analysis of rotating systems. [Internet] [Masters thesis]. University of Cincinnati; 2014. [cited 2020 Jun 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1414750479.

Council of Science Editors:

Deshpande S. Improving observability in experimental analysis of rotating systems. [Masters Thesis]. University of Cincinnati; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1414750479


University of Western Ontario

18. Roumeliotis, Michael B. Real-time Three-dimensional Photoacoustic Imaging.

Degree: 2011, University of Western Ontario

 Photoacoustic imaging is a modality that combines the benefits of two prominent imaging techniques; the strong contrast inherent to optical imaging techniques with the enhanced… (more)

Subjects/Keywords: Photoacoustic imaging; 3D imaging; Real-time imaging; Singular value decomposition; Crosstalk matrix; Medical Biophysics

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APA (6th Edition):

Roumeliotis, M. B. (2011). Real-time Three-dimensional Photoacoustic Imaging. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/227

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):

Roumeliotis, Michael B. “Real-time Three-dimensional Photoacoustic Imaging.” 2011. Thesis, University of Western Ontario. Accessed June 04, 2020. https://ir.lib.uwo.ca/etd/227.

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

MLA Handbook (7th Edition):

Roumeliotis, Michael B. “Real-time Three-dimensional Photoacoustic Imaging.” 2011. Web. 04 Jun 2020.

Vancouver:

Roumeliotis MB. Real-time Three-dimensional Photoacoustic Imaging. [Internet] [Thesis]. University of Western Ontario; 2011. [cited 2020 Jun 04]. Available from: https://ir.lib.uwo.ca/etd/227.

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

Council of Science Editors:

Roumeliotis MB. Real-time Three-dimensional Photoacoustic Imaging. [Thesis]. University of Western Ontario; 2011. Available from: https://ir.lib.uwo.ca/etd/227

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


Kyoto University / 京都大学

19. Nagata, Munehiro. Studies on Accurate Singular Value Decomposition for Bidiagonal Matrices : 2重対角行列の高精度な特異値分解の研究.

Degree: 博士(情報学), 2016, Kyoto University / 京都大学

原著論文リスト[A1]: “The final publication is available at Springer via http://dx.doi.org/10.1007/s11075-012-9607-5.”. [A2]: “The final publication is available at Springer via http://dx.doi.org/10.1007/s10092-013-0085-5.”, [A3]: DOI“10.1016/j.camwa.2015.11.022”

新制・課程博士

甲第19859号

情博第610号

Subjects/Keywords: singular value decomposition; similarity transformation; numerical stability; condition number; discrete Lotka-Vorterra system

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

APA (6th Edition):

Nagata, M. (2016). Studies on Accurate Singular Value Decomposition for Bidiagonal Matrices : 2重対角行列の高精度な特異値分解の研究. (Thesis). Kyoto University / 京都大学. Retrieved from http://hdl.handle.net/2433/215686 ; http://dx.doi.org/10.14989/doctor.k19859

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):

Nagata, Munehiro. “Studies on Accurate Singular Value Decomposition for Bidiagonal Matrices : 2重対角行列の高精度な特異値分解の研究.” 2016. Thesis, Kyoto University / 京都大学. Accessed June 04, 2020. http://hdl.handle.net/2433/215686 ; http://dx.doi.org/10.14989/doctor.k19859.

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

MLA Handbook (7th Edition):

Nagata, Munehiro. “Studies on Accurate Singular Value Decomposition for Bidiagonal Matrices : 2重対角行列の高精度な特異値分解の研究.” 2016. Web. 04 Jun 2020.

Vancouver:

Nagata M. Studies on Accurate Singular Value Decomposition for Bidiagonal Matrices : 2重対角行列の高精度な特異値分解の研究. [Internet] [Thesis]. Kyoto University / 京都大学; 2016. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/2433/215686 ; http://dx.doi.org/10.14989/doctor.k19859.

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

Council of Science Editors:

Nagata M. Studies on Accurate Singular Value Decomposition for Bidiagonal Matrices : 2重対角行列の高精度な特異値分解の研究. [Thesis]. Kyoto University / 京都大学; 2016. Available from: http://hdl.handle.net/2433/215686 ; http://dx.doi.org/10.14989/doctor.k19859

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


Anna University

20. Sree rathna lakshmi N V S. Multi domain feature fusion for Classification of microcalcification In digital mammograms;.

Degree: Multi domain feature fusion for Classification of microcalcification In digital mammograms, 2014, Anna University

To study the human breast Mammography is used as a diagnostic newlineand a screening tool that uses X rays The objective of mammography is the… (more)

Subjects/Keywords: Discrete Wavelet Transform; Electrical and Electronics engineering; Singular Value Decomposition; Zernike Legendre and Tchebichef moments

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APA (6th Edition):

S, S. r. l. N. V. (2014). Multi domain feature fusion for Classification of microcalcification In digital mammograms;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26108

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):

S, Sree rathna lakshmi N V. “Multi domain feature fusion for Classification of microcalcification In digital mammograms;.” 2014. Thesis, Anna University. Accessed June 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/26108.

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

MLA Handbook (7th Edition):

S, Sree rathna lakshmi N V. “Multi domain feature fusion for Classification of microcalcification In digital mammograms;.” 2014. Web. 04 Jun 2020.

Vancouver:

S SrlNV. Multi domain feature fusion for Classification of microcalcification In digital mammograms;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Jun 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26108.

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

Council of Science Editors:

S SrlNV. Multi domain feature fusion for Classification of microcalcification In digital mammograms;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26108

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


Anna University

21. Lavanya A. Analyzing robustness of watermarking in medical images based on singular value decomposition in frequency domain using chaotic maps;.

Degree: Watermarking in medical images based on singular value decomposition in frequency domain using chaotic maps, 2014, Anna University

Information security is an important aspect that needs to be addressed while transmitting information across healthcare industry Medical information that is relevant for patient s… (more)

Subjects/Keywords: Digital watermarking; Discrete wavelet transform singular value decomposition; Information and communication engineering; Medical images

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APA (6th Edition):

A, L. (2014). Analyzing robustness of watermarking in medical images based on singular value decomposition in frequency domain using chaotic maps;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24115

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):

A, Lavanya. “Analyzing robustness of watermarking in medical images based on singular value decomposition in frequency domain using chaotic maps;.” 2014. Thesis, Anna University. Accessed June 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/24115.

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

MLA Handbook (7th Edition):

A, Lavanya. “Analyzing robustness of watermarking in medical images based on singular value decomposition in frequency domain using chaotic maps;.” 2014. Web. 04 Jun 2020.

Vancouver:

A L. Analyzing robustness of watermarking in medical images based on singular value decomposition in frequency domain using chaotic maps;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Jun 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24115.

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

Council of Science Editors:

A L. Analyzing robustness of watermarking in medical images based on singular value decomposition in frequency domain using chaotic maps;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24115

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


University of Notre Dame

22. Quinn Nathaniel Lathrop. IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>.

Degree: PhD, Psychology, 2015, University of Notre Dame

  Most psychometric techniques used to analyze assessment data are designed to work with complete data. The rapid increase in the availability and power of… (more)

Subjects/Keywords: missing data; singular value decomposition; data mining; computation statistics; educational data; Item response theory; psychometrics

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APA (6th Edition):

Lathrop, Q. N. (2015). IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/pz50gt56z02

Chicago Manual of Style (16th Edition):

Lathrop, Quinn Nathaniel. “IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>.” 2015. Doctoral Dissertation, University of Notre Dame. Accessed June 04, 2020. https://curate.nd.edu/show/pz50gt56z02.

MLA Handbook (7th Edition):

Lathrop, Quinn Nathaniel. “IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>.” 2015. Web. 04 Jun 2020.

Vancouver:

Lathrop QN. IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2015. [cited 2020 Jun 04]. Available from: https://curate.nd.edu/show/pz50gt56z02.

Council of Science Editors:

Lathrop QN. IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>. [Doctoral Dissertation]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/pz50gt56z02


NSYSU

23. Lin, Yu-sing. A Precoding Scheme Based on Perfect Sequences without Data Identification Problem for Data-Dependent Superimposed Training.

Degree: Master, Communications Engineering, 2011, NSYSU

 In data-dependent superimposed training (DDST) system, the data sequence subtracts a data-dependent sequence before transmission. The receiver cannot correctly find the unknown term which causes… (more)

Subjects/Keywords: ZadoffâChu sequences; data-dependent superimposed training; inverse discrete Fourier transform; singular value decomposition

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APA (6th Edition):

Lin, Y. (2011). A Precoding Scheme Based on Perfect Sequences without Data Identification Problem for Data-Dependent Superimposed Training. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0825111-140228

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):

Lin, Yu-sing. “A Precoding Scheme Based on Perfect Sequences without Data Identification Problem for Data-Dependent Superimposed Training.” 2011. Thesis, NSYSU. Accessed June 04, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0825111-140228.

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

MLA Handbook (7th Edition):

Lin, Yu-sing. “A Precoding Scheme Based on Perfect Sequences without Data Identification Problem for Data-Dependent Superimposed Training.” 2011. Web. 04 Jun 2020.

Vancouver:

Lin Y. A Precoding Scheme Based on Perfect Sequences without Data Identification Problem for Data-Dependent Superimposed Training. [Internet] [Thesis]. NSYSU; 2011. [cited 2020 Jun 04]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0825111-140228.

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

Council of Science Editors:

Lin Y. A Precoding Scheme Based on Perfect Sequences without Data Identification Problem for Data-Dependent Superimposed Training. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0825111-140228

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


University of Otago

24. Leichter, Carl Stuart. Eigenspecters .

Degree: 2013, University of Otago

 Principal Component Analysis (PCA) is one of the most popular and widely used techniques in data processing and analysis. In the domains of Magnetoencephalographic (MEG)… (more)

Subjects/Keywords: Principal; Component; Analysis; PCA; Eigenspecter; Eigenspecters; Singular; Value; Decomposition; SVD; Magnetoencephalographic; MEG; Electroencephalographic; EEG

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

APA (6th Edition):

Leichter, C. S. (2013). Eigenspecters . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/4459

Chicago Manual of Style (16th Edition):

Leichter, Carl Stuart. “Eigenspecters .” 2013. Doctoral Dissertation, University of Otago. Accessed June 04, 2020. http://hdl.handle.net/10523/4459.

MLA Handbook (7th Edition):

Leichter, Carl Stuart. “Eigenspecters .” 2013. Web. 04 Jun 2020.

Vancouver:

Leichter CS. Eigenspecters . [Internet] [Doctoral dissertation]. University of Otago; 2013. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10523/4459.

Council of Science Editors:

Leichter CS. Eigenspecters . [Doctoral Dissertation]. University of Otago; 2013. Available from: http://hdl.handle.net/10523/4459

25. Khatavkar, Rohan. Sparse and orthogonal singular value decomposition.

Degree: MS, Department of Statistics, 2013, Kansas State University

 The singular value decomposition (SVD) is a commonly used matrix factorization technique in statistics, and it is very e ective in revealing many low-dimensional structures… (more)

Subjects/Keywords: Bregman iteration; Multivariate regression; Orthogonality constraint; Singular value decomposition; Sparsity; Statistics (0463)

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APA (6th Edition):

Khatavkar, R. (2013). Sparse and orthogonal singular value decomposition. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/15992

Chicago Manual of Style (16th Edition):

Khatavkar, Rohan. “Sparse and orthogonal singular value decomposition.” 2013. Masters Thesis, Kansas State University. Accessed June 04, 2020. http://hdl.handle.net/2097/15992.

MLA Handbook (7th Edition):

Khatavkar, Rohan. “Sparse and orthogonal singular value decomposition.” 2013. Web. 04 Jun 2020.

Vancouver:

Khatavkar R. Sparse and orthogonal singular value decomposition. [Internet] [Masters thesis]. Kansas State University; 2013. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/2097/15992.

Council of Science Editors:

Khatavkar R. Sparse and orthogonal singular value decomposition. [Masters Thesis]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/15992


University of Miami

26. Wong, Elizabeth. Retrieval of the Skin Sea Surface Temperature Using Hyperspectral Measurements From the Marine-Atmospheric Emitted Radiance Interferometer.

Degree: MS, Meteorology and Physical Oceanography (Marine), 2013, University of Miami

 This dissertation document details research into the vertical profiles of temperature through the electromagnetic and thermal skin layers of the ocean. The Marine-Atmospheric Emitted Radiance… (more)

Subjects/Keywords: skin sea surface temperature; radiometer; hyperspectral; truncated singular value decomposition; infrared; inverse problem

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APA (6th Edition):

Wong, E. (2013). Retrieval of the Skin Sea Surface Temperature Using Hyperspectral Measurements From the Marine-Atmospheric Emitted Radiance Interferometer. (Thesis). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_theses/437

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):

Wong, Elizabeth. “Retrieval of the Skin Sea Surface Temperature Using Hyperspectral Measurements From the Marine-Atmospheric Emitted Radiance Interferometer.” 2013. Thesis, University of Miami. Accessed June 04, 2020. https://scholarlyrepository.miami.edu/oa_theses/437.

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

MLA Handbook (7th Edition):

Wong, Elizabeth. “Retrieval of the Skin Sea Surface Temperature Using Hyperspectral Measurements From the Marine-Atmospheric Emitted Radiance Interferometer.” 2013. Web. 04 Jun 2020.

Vancouver:

Wong E. Retrieval of the Skin Sea Surface Temperature Using Hyperspectral Measurements From the Marine-Atmospheric Emitted Radiance Interferometer. [Internet] [Thesis]. University of Miami; 2013. [cited 2020 Jun 04]. Available from: https://scholarlyrepository.miami.edu/oa_theses/437.

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

Council of Science Editors:

Wong E. Retrieval of the Skin Sea Surface Temperature Using Hyperspectral Measurements From the Marine-Atmospheric Emitted Radiance Interferometer. [Thesis]. University of Miami; 2013. Available from: https://scholarlyrepository.miami.edu/oa_theses/437

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


East Tennessee State University

27. Deng, Cheng. Time Series Decomposition Using Singular Spectrum Analysis.

Degree: MS, Mathematical Sciences, 2014, East Tennessee State University

Singular Spectrum Analysis (SSA) is a method for decomposing and forecasting time series that recently has had major developments but it is not yet… (more)

Subjects/Keywords: singular value decomposition; seasnonality; trend; X-11; STL.; Longitudinal Data Analysis and Time Series

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APA (6th Edition):

Deng, C. (2014). Time Series Decomposition Using Singular Spectrum Analysis. (Masters Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/2352

Chicago Manual of Style (16th Edition):

Deng, Cheng. “Time Series Decomposition Using Singular Spectrum Analysis.” 2014. Masters Thesis, East Tennessee State University. Accessed June 04, 2020. https://dc.etsu.edu/etd/2352.

MLA Handbook (7th Edition):

Deng, Cheng. “Time Series Decomposition Using Singular Spectrum Analysis.” 2014. Web. 04 Jun 2020.

Vancouver:

Deng C. Time Series Decomposition Using Singular Spectrum Analysis. [Internet] [Masters thesis]. East Tennessee State University; 2014. [cited 2020 Jun 04]. Available from: https://dc.etsu.edu/etd/2352.

Council of Science Editors:

Deng C. Time Series Decomposition Using Singular Spectrum Analysis. [Masters Thesis]. East Tennessee State University; 2014. Available from: https://dc.etsu.edu/etd/2352


University of Colorado

28. Halko, Nathan P. Randomized Methods for Computing Low-Rank Approximations of Matrices.

Degree: PhD, Applied Mathematics, 2012, University of Colorado

  Randomized sampling techniques have recently proved capable of efficiently solving many standard problems in linear algebra, and enabling computations at scales far larger than… (more)

Subjects/Keywords: hadoop; mahout; mapreduce; out of core; randomized sampling; singular value decomposition; Mathematics

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APA (6th Edition):

Halko, N. P. (2012). Randomized Methods for Computing Low-Rank Approximations of Matrices. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/26

Chicago Manual of Style (16th Edition):

Halko, Nathan P. “Randomized Methods for Computing Low-Rank Approximations of Matrices.” 2012. Doctoral Dissertation, University of Colorado. Accessed June 04, 2020. https://scholar.colorado.edu/appm_gradetds/26.

MLA Handbook (7th Edition):

Halko, Nathan P. “Randomized Methods for Computing Low-Rank Approximations of Matrices.” 2012. Web. 04 Jun 2020.

Vancouver:

Halko NP. Randomized Methods for Computing Low-Rank Approximations of Matrices. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2020 Jun 04]. Available from: https://scholar.colorado.edu/appm_gradetds/26.

Council of Science Editors:

Halko NP. Randomized Methods for Computing Low-Rank Approximations of Matrices. [Doctoral Dissertation]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/appm_gradetds/26


University of Waterloo

29. Seecharan, Turuna Saraswati. Probabilistic Robust Design For Dynamic Systems Using Metamodelling.

Degree: 2007, University of Waterloo

 Designers use simulations to observe the behaviour of a system and to make design decisions to improve dynamic performance. However, for complex dynamic systems, these… (more)

Subjects/Keywords: Robust Design; Singular Value Decomposition; Metamodel

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APA (6th Edition):

Seecharan, T. S. (2007). Probabilistic Robust Design For Dynamic Systems Using Metamodelling. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/3230

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):

Seecharan, Turuna Saraswati. “Probabilistic Robust Design For Dynamic Systems Using Metamodelling.” 2007. Thesis, University of Waterloo. Accessed June 04, 2020. http://hdl.handle.net/10012/3230.

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

MLA Handbook (7th Edition):

Seecharan, Turuna Saraswati. “Probabilistic Robust Design For Dynamic Systems Using Metamodelling.” 2007. Web. 04 Jun 2020.

Vancouver:

Seecharan TS. Probabilistic Robust Design For Dynamic Systems Using Metamodelling. [Internet] [Thesis]. University of Waterloo; 2007. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10012/3230.

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

Council of Science Editors:

Seecharan TS. Probabilistic Robust Design For Dynamic Systems Using Metamodelling. [Thesis]. University of Waterloo; 2007. Available from: http://hdl.handle.net/10012/3230

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


University of Minnesota

30. Campbell, Patrick Ronald. Dynamical implications of network statistics.

Degree: PhD, Mathematics, 2014, University of Minnesota

 Dynamics on large networks can be highly complex. I present several methods for investigating the effects of network structure/statistics on rate dynamics and spike correlations.… (more)

Subjects/Keywords: Dimension reduction; Expected degree model; Poisson spiking model; Singular value decomposition; Mathematics

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

APA (6th Edition):

Campbell, P. R. (2014). Dynamical implications of network statistics. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/166958

Chicago Manual of Style (16th Edition):

Campbell, Patrick Ronald. “Dynamical implications of network statistics.” 2014. Doctoral Dissertation, University of Minnesota. Accessed June 04, 2020. http://hdl.handle.net/11299/166958.

MLA Handbook (7th Edition):

Campbell, Patrick Ronald. “Dynamical implications of network statistics.” 2014. Web. 04 Jun 2020.

Vancouver:

Campbell PR. Dynamical implications of network statistics. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/11299/166958.

Council of Science Editors:

Campbell PR. Dynamical implications of network statistics. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/166958

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