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Degree: MS

You searched for subject:(Singular Value Decomposition). Showing records 1 – 30 of 31 total matches.

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

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 July 10, 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. 10 Jul 2020.

Vancouver:

Behzadian B. Feature Selection by Singular Value Decomposition for Reinforcement Learning. [Internet] [Thesis]. University of New Hampshire; 2019. [cited 2020 Jul 10]. 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


University of Utah

2. 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 July 10, 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. 10 Jul 2020.

Vancouver:

Alpert BO. Generalized singular value decomposition of genomic profiles predicts gliobastoma survival. [Internet] [Masters thesis]. University of Utah; 2012. [cited 2020 Jul 10]. 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


University of Georgia

3. 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 July 10, 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. 10 Jul 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 Jul 10]. 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

4. 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 July 10, 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. 10 Jul 2020.

Vancouver:

Love AR. Automatically Locating Sensor Position on an E-textile Garment Via Pattern Recognition. [Internet] [Masters thesis]. Virginia Tech; 2009. [cited 2020 Jul 10]. 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

5. 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 July 10, 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. 10 Jul 2020.

Vancouver:

Moger M. Classification of Arbitrary Motion into a Canonical Basis. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2020 Jul 10]. 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

6. 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 (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 July 10, 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. 10 Jul 2020.

Vancouver:

Beach BJ. An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Jul 10]. 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

7. 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 (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 July 10, 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. 10 Jul 2020.

Vancouver:

Deshpande S. Improving observability in experimental analysis of rotating systems. [Internet] [Masters thesis]. University of Cincinnati; 2014. [cited 2020 Jul 10]. 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

8. 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 July 10, 2020. http://hdl.handle.net/2097/15992.

MLA Handbook (7th Edition):

Khatavkar, Rohan. “Sparse and orthogonal singular value decomposition.” 2013. Web. 10 Jul 2020.

Vancouver:

Khatavkar R. Sparse and orthogonal singular value decomposition. [Internet] [Masters thesis]. Kansas State University; 2013. [cited 2020 Jul 10]. 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

9. 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 July 10, 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. 10 Jul 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 Jul 10]. 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

10. 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 July 10, 2020. https://dc.etsu.edu/etd/2352.

MLA Handbook (7th Edition):

Deng, Cheng. “Time Series Decomposition Using Singular Spectrum Analysis.” 2014. Web. 10 Jul 2020.

Vancouver:

Deng C. Time Series Decomposition Using Singular Spectrum Analysis. [Internet] [Masters thesis]. East Tennessee State University; 2014. [cited 2020 Jul 10]. 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


Texas Tech University

11. -8784-1528. The power of latent semantic indexing in review retrieval.

Degree: MS, Software Engineering, 2016, Texas Tech University

 Over the past decade, the Internet has enabled accesses of information to its users in the forms of web pages and digital documents with vast… (more)

Subjects/Keywords: Latent Semantic Indexing; expert knowledge; document retrieval; review retrieval; Singular Value Decomposition; semantic score; WordNet; ontology

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APA (6th Edition):

-8784-1528. (2016). The power of latent semantic indexing in review retrieval. (Masters Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/72302

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

Chicago Manual of Style (16th Edition):

-8784-1528. “The power of latent semantic indexing in review retrieval.” 2016. Masters Thesis, Texas Tech University. Accessed July 10, 2020. http://hdl.handle.net/2346/72302.

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

MLA Handbook (7th Edition):

-8784-1528. “The power of latent semantic indexing in review retrieval.” 2016. Web. 10 Jul 2020.

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

Vancouver:

-8784-1528. The power of latent semantic indexing in review retrieval. [Internet] [Masters thesis]. Texas Tech University; 2016. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/2346/72302.

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

Council of Science Editors:

-8784-1528. The power of latent semantic indexing in review retrieval. [Masters Thesis]. Texas Tech University; 2016. Available from: http://hdl.handle.net/2346/72302

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


Virginia Tech

12. Chong, Justin Brandon. Activity Recognition Processing in a Self-Contained Wearable System.

Degree: MS, Electrical and Computer Engineering, 2008, Virginia Tech

 Electronic textiles provide an eective platform to contain wearable computing elements, espe- cially components geared towards the application of activity recognition. An activity recogni- tion… (more)

Subjects/Keywords: Singular Value Decomposition; Activity Recognition; E-Textiles

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APA (6th Edition):

Chong, J. B. (2008). Activity Recognition Processing in a Self-Contained Wearable System. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35141

Chicago Manual of Style (16th Edition):

Chong, Justin Brandon. “Activity Recognition Processing in a Self-Contained Wearable System.” 2008. Masters Thesis, Virginia Tech. Accessed July 10, 2020. http://hdl.handle.net/10919/35141.

MLA Handbook (7th Edition):

Chong, Justin Brandon. “Activity Recognition Processing in a Self-Contained Wearable System.” 2008. Web. 10 Jul 2020.

Vancouver:

Chong JB. Activity Recognition Processing in a Self-Contained Wearable System. [Internet] [Masters thesis]. Virginia Tech; 2008. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10919/35141.

Council of Science Editors:

Chong JB. Activity Recognition Processing in a Self-Contained Wearable System. [Masters Thesis]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/35141


Virginia Tech

13. Phillips, Rhonda D. Improving the Performance of a Hybrid Classification Method Using a Parallel Algorithm and a Novel Data Reduction Technique.

Degree: MS, Computer Science, 2007, Virginia Tech

 This thesis presents both a shared memory parallel version of the hybrid classification algorithm IGSCR (iterative guided spectral class rejection) and a novel data reduction… (more)

Subjects/Keywords: Landsat; singular value decomposition; feature reduction; classification; data reduction

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APA (6th Edition):

Phillips, R. D. (2007). Improving the Performance of a Hybrid Classification Method Using a Parallel Algorithm and a Novel Data Reduction Technique. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/42680

Chicago Manual of Style (16th Edition):

Phillips, Rhonda D. “Improving the Performance of a Hybrid Classification Method Using a Parallel Algorithm and a Novel Data Reduction Technique.” 2007. Masters Thesis, Virginia Tech. Accessed July 10, 2020. http://hdl.handle.net/10919/42680.

MLA Handbook (7th Edition):

Phillips, Rhonda D. “Improving the Performance of a Hybrid Classification Method Using a Parallel Algorithm and a Novel Data Reduction Technique.” 2007. Web. 10 Jul 2020.

Vancouver:

Phillips RD. Improving the Performance of a Hybrid Classification Method Using a Parallel Algorithm and a Novel Data Reduction Technique. [Internet] [Masters thesis]. Virginia Tech; 2007. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10919/42680.

Council of Science Editors:

Phillips RD. Improving the Performance of a Hybrid Classification Method Using a Parallel Algorithm and a Novel Data Reduction Technique. [Masters Thesis]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/42680


Mississippi State University

14. weathers, jeffrey wayne. COMBINING THE MATRIX TRANSFORM METHOD WITH THREE-DIMENSIONAL FINITE ELEMENT MODELING TO ESTIMATE THE INTERFACIAL HEAT TRANSFER COEFFICIENT CORRESPONDING TO VARIOUS MOLD COATINGS.

Degree: MS, Mechanical Engineering, 2005, Mississippi State University

 The interfacial heat transfer coefficient is an important variable regarding the subject of metal castings. The error associated with the experimental temperature data must be… (more)

Subjects/Keywords: thermal distortion; singular value decomposition; inverse conduction

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APA (6th Edition):

weathers, j. w. (2005). COMBINING THE MATRIX TRANSFORM METHOD WITH THREE-DIMENSIONAL FINITE ELEMENT MODELING TO ESTIMATE THE INTERFACIAL HEAT TRANSFER COEFFICIENT CORRESPONDING TO VARIOUS MOLD COATINGS. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04072005-143359/ ;

Chicago Manual of Style (16th Edition):

weathers, jeffrey wayne. “COMBINING THE MATRIX TRANSFORM METHOD WITH THREE-DIMENSIONAL FINITE ELEMENT MODELING TO ESTIMATE THE INTERFACIAL HEAT TRANSFER COEFFICIENT CORRESPONDING TO VARIOUS MOLD COATINGS.” 2005. Masters Thesis, Mississippi State University. Accessed July 10, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04072005-143359/ ;.

MLA Handbook (7th Edition):

weathers, jeffrey wayne. “COMBINING THE MATRIX TRANSFORM METHOD WITH THREE-DIMENSIONAL FINITE ELEMENT MODELING TO ESTIMATE THE INTERFACIAL HEAT TRANSFER COEFFICIENT CORRESPONDING TO VARIOUS MOLD COATINGS.” 2005. Web. 10 Jul 2020.

Vancouver:

weathers jw. COMBINING THE MATRIX TRANSFORM METHOD WITH THREE-DIMENSIONAL FINITE ELEMENT MODELING TO ESTIMATE THE INTERFACIAL HEAT TRANSFER COEFFICIENT CORRESPONDING TO VARIOUS MOLD COATINGS. [Internet] [Masters thesis]. Mississippi State University; 2005. [cited 2020 Jul 10]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04072005-143359/ ;.

Council of Science Editors:

weathers jw. COMBINING THE MATRIX TRANSFORM METHOD WITH THREE-DIMENSIONAL FINITE ELEMENT MODELING TO ESTIMATE THE INTERFACIAL HEAT TRANSFER COEFFICIENT CORRESPONDING TO VARIOUS MOLD COATINGS. [Masters Thesis]. Mississippi State University; 2005. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04072005-143359/ ;


Mississippi State University

15. Langley, Joseph Russell. SCRIBE: A Clustering Approach to Semantic Information Retrieval.

Degree: MS, Computer Science, 2006, Mississippi State University

 Information retrieval is the process of fulfilling a user?s need for information by locating items in a data collection that are similar to a complex… (more)

Subjects/Keywords: singular value decomposition; knowledge discovery in data

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APA (6th Edition):

Langley, J. R. (2006). SCRIBE: A Clustering Approach to Semantic Information Retrieval. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-05222006-105714/ ;

Chicago Manual of Style (16th Edition):

Langley, Joseph Russell. “SCRIBE: A Clustering Approach to Semantic Information Retrieval.” 2006. Masters Thesis, Mississippi State University. Accessed July 10, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-05222006-105714/ ;.

MLA Handbook (7th Edition):

Langley, Joseph Russell. “SCRIBE: A Clustering Approach to Semantic Information Retrieval.” 2006. Web. 10 Jul 2020.

Vancouver:

Langley JR. SCRIBE: A Clustering Approach to Semantic Information Retrieval. [Internet] [Masters thesis]. Mississippi State University; 2006. [cited 2020 Jul 10]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05222006-105714/ ;.

Council of Science Editors:

Langley JR. SCRIBE: A Clustering Approach to Semantic Information Retrieval. [Masters Thesis]. Mississippi State University; 2006. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05222006-105714/ ;


University of Houston

16. Xia, Keyao 1990-. Azimuthal P-wave AVA Inversion for Fracture Orientation and Density.

Degree: MS, Geophysics, 2014, University of Houston

 This thesis studies the numerical seismic modeling of a simulated fractured medium to analyze variations of seismic reflection amplitudes with incident and azimuthal angles (AVAZ).… (more)

Subjects/Keywords: AVAZ; Fracture behavior; Fracture Density; Effective medium theory; Singular value decomposition (SVD); GLI; Error Analysis; Geophysics

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APA (6th Edition):

Xia, K. 1. (2014). Azimuthal P-wave AVA Inversion for Fracture Orientation and Density. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/703

Chicago Manual of Style (16th Edition):

Xia, Keyao 1990-. “Azimuthal P-wave AVA Inversion for Fracture Orientation and Density.” 2014. Masters Thesis, University of Houston. Accessed July 10, 2020. http://hdl.handle.net/10657/703.

MLA Handbook (7th Edition):

Xia, Keyao 1990-. “Azimuthal P-wave AVA Inversion for Fracture Orientation and Density.” 2014. Web. 10 Jul 2020.

Vancouver:

Xia K1. Azimuthal P-wave AVA Inversion for Fracture Orientation and Density. [Internet] [Masters thesis]. University of Houston; 2014. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10657/703.

Council of Science Editors:

Xia K1. Azimuthal P-wave AVA Inversion for Fracture Orientation and Density. [Masters Thesis]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/703


Georgia State University

17. Renkjumnong, Wasuta -. SVD and PCA in Image Processing.

Degree: MS, Mathematics and Statistics, 2007, Georgia State University

  The Singular Value Decomposition is one of the most useful matrix factorizations in applied linear algebra, the Principal Component Analysis has been called one… (more)

Subjects/Keywords: Principal component analysis; Singular value decomposition; Image

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APA (6th Edition):

Renkjumnong, W. -. (2007). SVD and PCA in Image Processing. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/31

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):

Renkjumnong, Wasuta -. “SVD and PCA in Image Processing.” 2007. Thesis, Georgia State University. Accessed July 10, 2020. https://scholarworks.gsu.edu/math_theses/31.

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

MLA Handbook (7th Edition):

Renkjumnong, Wasuta -. “SVD and PCA in Image Processing.” 2007. Web. 10 Jul 2020.

Vancouver:

Renkjumnong W-. SVD and PCA in Image Processing. [Internet] [Thesis]. Georgia State University; 2007. [cited 2020 Jul 10]. Available from: https://scholarworks.gsu.edu/math_theses/31.

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

Council of Science Editors:

Renkjumnong W-. SVD and PCA in Image Processing. [Thesis]. Georgia State University; 2007. Available from: https://scholarworks.gsu.edu/math_theses/31

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


East Tennessee State University

18. Torku, Thomas K. Takens Theorem with Singular Spectrum Analysis Applied to Noisy Time Series.

Degree: MS, Mathematical Sciences, 2016, East Tennessee State University

  The evolution of big data has led to financial time series becoming increasingly complex, noisy, non-stationary and nonlinear. Takens theorem can be used to… (more)

Subjects/Keywords: Singular Value Decomposition; Singular Spectrum Analysis; Takens Vectors; Entropy; Mutual Information; Financial time series; Algebra; Applied Mathematics; Longitudinal Data Analysis and Time Series; Other Statistics and Probability; Statistical Models

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APA (6th Edition):

Torku, T. K. (2016). Takens Theorem with Singular Spectrum Analysis Applied to Noisy Time Series. (Masters Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/3013

Chicago Manual of Style (16th Edition):

Torku, Thomas K. “Takens Theorem with Singular Spectrum Analysis Applied to Noisy Time Series.” 2016. Masters Thesis, East Tennessee State University. Accessed July 10, 2020. https://dc.etsu.edu/etd/3013.

MLA Handbook (7th Edition):

Torku, Thomas K. “Takens Theorem with Singular Spectrum Analysis Applied to Noisy Time Series.” 2016. Web. 10 Jul 2020.

Vancouver:

Torku TK. Takens Theorem with Singular Spectrum Analysis Applied to Noisy Time Series. [Internet] [Masters thesis]. East Tennessee State University; 2016. [cited 2020 Jul 10]. Available from: https://dc.etsu.edu/etd/3013.

Council of Science Editors:

Torku TK. Takens Theorem with Singular Spectrum Analysis Applied to Noisy Time Series. [Masters Thesis]. East Tennessee State University; 2016. Available from: https://dc.etsu.edu/etd/3013


Ohio University

19. Brown, Michael J. SINGULAR VALUE DECOMPOSITION AND 2D PRINCIPAL COMPONENT ANALYSIS OF IRIS-BIOMETRICS FOR AUTOMATIC HUMAN IDENTIFICATION.

Degree: MS, Electrical Engineering & Computer Science (Engineering and Technology), 2006, Ohio University

  With the recent emphasis given to security, automatic human identification has received significant attention. In particular, iris based subject recognition has become especially important… (more)

Subjects/Keywords: iris recognition; singular value decomposition (SVD); 2D principal component analysis (2DPCA); biometrics

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APA (6th Edition):

Brown, M. J. (2006). SINGULAR VALUE DECOMPOSITION AND 2D PRINCIPAL COMPONENT ANALYSIS OF IRIS-BIOMETRICS FOR AUTOMATIC HUMAN IDENTIFICATION. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1149187904

Chicago Manual of Style (16th Edition):

Brown, Michael J. “SINGULAR VALUE DECOMPOSITION AND 2D PRINCIPAL COMPONENT ANALYSIS OF IRIS-BIOMETRICS FOR AUTOMATIC HUMAN IDENTIFICATION.” 2006. Masters Thesis, Ohio University. Accessed July 10, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1149187904.

MLA Handbook (7th Edition):

Brown, Michael J. “SINGULAR VALUE DECOMPOSITION AND 2D PRINCIPAL COMPONENT ANALYSIS OF IRIS-BIOMETRICS FOR AUTOMATIC HUMAN IDENTIFICATION.” 2006. Web. 10 Jul 2020.

Vancouver:

Brown MJ. SINGULAR VALUE DECOMPOSITION AND 2D PRINCIPAL COMPONENT ANALYSIS OF IRIS-BIOMETRICS FOR AUTOMATIC HUMAN IDENTIFICATION. [Internet] [Masters thesis]. Ohio University; 2006. [cited 2020 Jul 10]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1149187904.

Council of Science Editors:

Brown MJ. SINGULAR VALUE DECOMPOSITION AND 2D PRINCIPAL COMPONENT ANALYSIS OF IRIS-BIOMETRICS FOR AUTOMATIC HUMAN IDENTIFICATION. [Masters Thesis]. Ohio University; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1149187904


Mississippi State University

20. Johnson, August Nathan Fletcher. CORRECTION OF TRANSIENT SOLID-EMBEDDED THERMOCOUPLE DATA WITH APPLICATION TO INVERSE HEAT CONDUCTION.

Degree: MS, Mechanical Engineering, 2005, Mississippi State University

 The current research investigates the use of solid-embedded thermocouples for determining accurate transient temperature measurements within a solid medium, with emphasis on measurements intended for… (more)

Subjects/Keywords: thermal field distortion; conduction heat transfer; singular value decomposition; finite difference; dynamic calibration

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APA (6th Edition):

Johnson, A. N. F. (2005). CORRECTION OF TRANSIENT SOLID-EMBEDDED THERMOCOUPLE DATA WITH APPLICATION TO INVERSE HEAT CONDUCTION. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04072005-104434/ ;

Chicago Manual of Style (16th Edition):

Johnson, August Nathan Fletcher. “CORRECTION OF TRANSIENT SOLID-EMBEDDED THERMOCOUPLE DATA WITH APPLICATION TO INVERSE HEAT CONDUCTION.” 2005. Masters Thesis, Mississippi State University. Accessed July 10, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04072005-104434/ ;.

MLA Handbook (7th Edition):

Johnson, August Nathan Fletcher. “CORRECTION OF TRANSIENT SOLID-EMBEDDED THERMOCOUPLE DATA WITH APPLICATION TO INVERSE HEAT CONDUCTION.” 2005. Web. 10 Jul 2020.

Vancouver:

Johnson ANF. CORRECTION OF TRANSIENT SOLID-EMBEDDED THERMOCOUPLE DATA WITH APPLICATION TO INVERSE HEAT CONDUCTION. [Internet] [Masters thesis]. Mississippi State University; 2005. [cited 2020 Jul 10]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04072005-104434/ ;.

Council of Science Editors:

Johnson ANF. CORRECTION OF TRANSIENT SOLID-EMBEDDED THERMOCOUPLE DATA WITH APPLICATION TO INVERSE HEAT CONDUCTION. [Masters Thesis]. Mississippi State University; 2005. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04072005-104434/ ;


University of Houston

21. Kapur, Sunil 1988-. Automatic First Break Detection by Spectral Decomposition Using Minimum Uncertainty Wavelets.

Degree: MS, Mechanical Engineering, University of Houston

 Seismic Signal Processing can be effectively utilized to determine micro- seismic events. With the advances in hydraulic fracturing techniques, first break detection has become really… (more)

Subjects/Keywords: Super Gaussian Mu-Wavelets; First Break Detection; Spectral decomposition; Heisenberg Uncertainty Principle; Singular Value Decomposition Method; Cn transform

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APA (6th Edition):

Kapur, S. 1. (n.d.). Automatic First Break Detection by Spectral Decomposition Using Minimum Uncertainty Wavelets. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/2184

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Kapur, Sunil 1988-. “Automatic First Break Detection by Spectral Decomposition Using Minimum Uncertainty Wavelets.” Masters Thesis, University of Houston. Accessed July 10, 2020. http://hdl.handle.net/10657/2184.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Kapur, Sunil 1988-. “Automatic First Break Detection by Spectral Decomposition Using Minimum Uncertainty Wavelets.” Web. 10 Jul 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Kapur S1. Automatic First Break Detection by Spectral Decomposition Using Minimum Uncertainty Wavelets. [Internet] [Masters thesis]. University of Houston; [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10657/2184.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Kapur S1. Automatic First Break Detection by Spectral Decomposition Using Minimum Uncertainty Wavelets. [Masters Thesis]. University of Houston; Available from: http://hdl.handle.net/10657/2184

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Brigham Young University

22. Gunyan, Scott Nathan. An Examination into the Statistics of the Singular Vectors for the Multi-User MIMO Wireless Channel.

Degree: MS, 2004, Brigham Young University

  Many capacity and near-capacity achieving methods in multiple-input-multipleoutput (MIMO) wireless channels make use of the singular value decomposition (SVD) of the channel matrix. For… (more)

Subjects/Keywords: MIMO; wireless; multi-user; singular value decomposition; SVD; singular vectors; channel modeling; two ring model; SVA model; measurement; Electrical and Computer Engineering

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APA (6th Edition):

Gunyan, S. N. (2004). An Examination into the Statistics of the Singular Vectors for the Multi-User MIMO Wireless Channel. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1178&context=etd

Chicago Manual of Style (16th Edition):

Gunyan, Scott Nathan. “An Examination into the Statistics of the Singular Vectors for the Multi-User MIMO Wireless Channel.” 2004. Masters Thesis, Brigham Young University. Accessed July 10, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1178&context=etd.

MLA Handbook (7th Edition):

Gunyan, Scott Nathan. “An Examination into the Statistics of the Singular Vectors for the Multi-User MIMO Wireless Channel.” 2004. Web. 10 Jul 2020.

Vancouver:

Gunyan SN. An Examination into the Statistics of the Singular Vectors for the Multi-User MIMO Wireless Channel. [Internet] [Masters thesis]. Brigham Young University; 2004. [cited 2020 Jul 10]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1178&context=etd.

Council of Science Editors:

Gunyan SN. An Examination into the Statistics of the Singular Vectors for the Multi-User MIMO Wireless Channel. [Masters Thesis]. Brigham Young University; 2004. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1178&context=etd


Georgia State University

23. Workalemahu, Tsegaselassie. Singular Value Decomposition in Image Noise Filtering and Reconstruction.

Degree: MS, Mathematics and Statistics, 2008, Georgia State University

 The Singular Value Decomposition (SVD) has many applications in image processing. The SVD can be used to restore a corrupted image by separating significant information… (more)

Subjects/Keywords: Singular Value Decomposition; Rank; Eigenvectors; Eigenvalues; Singular Values; Filtering; Least Squares; Condition Number; Discrete Fourier Transform; Frequency; Pseudo-Inverse; Point Spread Function; Mathematics

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APA (6th Edition):

Workalemahu, T. (2008). Singular Value Decomposition in Image Noise Filtering and Reconstruction. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/52

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):

Workalemahu, Tsegaselassie. “Singular Value Decomposition in Image Noise Filtering and Reconstruction.” 2008. Thesis, Georgia State University. Accessed July 10, 2020. https://scholarworks.gsu.edu/math_theses/52.

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

MLA Handbook (7th Edition):

Workalemahu, Tsegaselassie. “Singular Value Decomposition in Image Noise Filtering and Reconstruction.” 2008. Web. 10 Jul 2020.

Vancouver:

Workalemahu T. Singular Value Decomposition in Image Noise Filtering and Reconstruction. [Internet] [Thesis]. Georgia State University; 2008. [cited 2020 Jul 10]. Available from: https://scholarworks.gsu.edu/math_theses/52.

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

Council of Science Editors:

Workalemahu T. Singular Value Decomposition in Image Noise Filtering and Reconstruction. [Thesis]. Georgia State University; 2008. Available from: https://scholarworks.gsu.edu/math_theses/52

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


Ohio University

24. Kaufman, Jason R. Digital video watermarking using singular value decomposition and two-dimensional principal component analysis.

Degree: MS, Electrical Engineering & Computer Science (Engineering and Technology), 2006, Ohio University

  As the state of remote sensing technology improves, the acquisition of three-dimensional images and video will become more common in several different applications. However,… (more)

Subjects/Keywords: digital video watermarking; information security; singular value decomposition (SVD); two-dimensional principal component analysis (2DPCA)

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APA (6th Edition):

Kaufman, J. R. (2006). Digital video watermarking using singular value decomposition and two-dimensional principal component analysis. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1141855950

Chicago Manual of Style (16th Edition):

Kaufman, Jason R. “Digital video watermarking using singular value decomposition and two-dimensional principal component analysis.” 2006. Masters Thesis, Ohio University. Accessed July 10, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1141855950.

MLA Handbook (7th Edition):

Kaufman, Jason R. “Digital video watermarking using singular value decomposition and two-dimensional principal component analysis.” 2006. Web. 10 Jul 2020.

Vancouver:

Kaufman JR. Digital video watermarking using singular value decomposition and two-dimensional principal component analysis. [Internet] [Masters thesis]. Ohio University; 2006. [cited 2020 Jul 10]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1141855950.

Council of Science Editors:

Kaufman JR. Digital video watermarking using singular value decomposition and two-dimensional principal component analysis. [Masters Thesis]. Ohio University; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1141855950


North Carolina State University

25. Race, Shaina L. Data Clustering via Dimension Reduction and Algorithm Aggregation.

Degree: MS, Applied Mathematics, 2008, North Carolina State University

 We focus on the problem of clustering large textual data sets. We present 3 well-known clustering algorithms and suggest enhancements involving dimension reduction. We propose… (more)

Subjects/Keywords: dimension reduction; nonnegative matrix factorization; document clustering; data clustering; singular value decomposition; clustering algorithms

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APA (6th Edition):

Race, S. L. (2008). Data Clustering via Dimension Reduction and Algorithm Aggregation. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/2029

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):

Race, Shaina L. “Data Clustering via Dimension Reduction and Algorithm Aggregation.” 2008. Thesis, North Carolina State University. Accessed July 10, 2020. http://www.lib.ncsu.edu/resolver/1840.16/2029.

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

MLA Handbook (7th Edition):

Race, Shaina L. “Data Clustering via Dimension Reduction and Algorithm Aggregation.” 2008. Web. 10 Jul 2020.

Vancouver:

Race SL. Data Clustering via Dimension Reduction and Algorithm Aggregation. [Internet] [Thesis]. North Carolina State University; 2008. [cited 2020 Jul 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2029.

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

Council of Science Editors:

Race SL. Data Clustering via Dimension Reduction and Algorithm Aggregation. [Thesis]. North Carolina State University; 2008. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2029

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

26. Zhao, Wancheng. A Structural Damage Identification Method Based on Unified Matrix Polynomial Approach and Subspace Analysis.

Degree: MS, Engineering : Mechanical Engineering, 2008, University of Cincinnati

 Vibration based damage detection of engineering structures has become an important and difficult issue for the last couple of decades. Research in vibration based structural… (more)

Subjects/Keywords: Mechanical Engineering; Structural Damage Detection; Singular Value Decomposition; Unified Matrix Polynomial Approach

…Domain RFP Rational Fraction Polynomial RSVD Robust Singular Value Decomposition SNR… …Signal to Noise Ratio SVD Singular Value Decomposition UMPA Unified Matrix Polynomial… …theorem and definition of Singular Value Decomposition and Principal Angles between two… …with the volume of the gouge. 13 Chapter 2 Methodology 2.1 Singular Value Decomposition In… …this section, the basic theorem of the Singular Value Decomposition (SVD) and the… 

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APA (6th Edition):

Zhao, W. (2008). A Structural Damage Identification Method Based on Unified Matrix Polynomial Approach and Subspace Analysis. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1206652627

Chicago Manual of Style (16th Edition):

Zhao, Wancheng. “A Structural Damage Identification Method Based on Unified Matrix Polynomial Approach and Subspace Analysis.” 2008. Masters Thesis, University of Cincinnati. Accessed July 10, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1206652627.

MLA Handbook (7th Edition):

Zhao, Wancheng. “A Structural Damage Identification Method Based on Unified Matrix Polynomial Approach and Subspace Analysis.” 2008. Web. 10 Jul 2020.

Vancouver:

Zhao W. A Structural Damage Identification Method Based on Unified Matrix Polynomial Approach and Subspace Analysis. [Internet] [Masters thesis]. University of Cincinnati; 2008. [cited 2020 Jul 10]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1206652627.

Council of Science Editors:

Zhao W. A Structural Damage Identification Method Based on Unified Matrix Polynomial Approach and Subspace Analysis. [Masters Thesis]. University of Cincinnati; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1206652627

27. Kolluri, Murali Mohan. Developing a validation metric using image classification techniques.

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

 The main objective of this thesis work was to investigate different image classification and pattern recognition methods to try to develop a validation metric. A… (more)

Subjects/Keywords: Mechanics; Validation Metric; Margin and Uncertainty; Moment Descriptors; Orthogonal Polynomials; Singular Value Decomposition; Validation and Verification

…List of Figures 2.1 SVD based v-metric example: Singular Value Plot… …4.16 Primary singular value reconstruction . . . . . . . . . . . . . . . . . . . . 45 4.17… …decomposing the data-sets in comparison into their singular value sets and then comparing the… …safety. The generally close 8 Figure 2.1: SVD based v-metric example: Singular Value Plot to… …9 2.2 SVD based v-metric example: Primary Singular Vector Correlation . . . 9 2.3… 

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APA (6th Edition):

Kolluri, M. M. (2014). Developing a validation metric using image classification techniques. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406819893

Chicago Manual of Style (16th Edition):

Kolluri, Murali Mohan. “Developing a validation metric using image classification techniques.” 2014. Masters Thesis, University of Cincinnati. Accessed July 10, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406819893.

MLA Handbook (7th Edition):

Kolluri, Murali Mohan. “Developing a validation metric using image classification techniques.” 2014. Web. 10 Jul 2020.

Vancouver:

Kolluri MM. Developing a validation metric using image classification techniques. [Internet] [Masters thesis]. University of Cincinnati; 2014. [cited 2020 Jul 10]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406819893.

Council of Science Editors:

Kolluri MM. Developing a validation metric using image classification techniques. [Masters Thesis]. University of Cincinnati; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406819893


Mississippi State University

28. Xue, Xingjian. IMPROVEMENTS ON HEAT FLUX AND HEAT CONDUCTANCE ESTIMATION WITH APPLICATIONS TO METAL CASTINGS.

Degree: MS, Mechanical Engineering, 2003, Mississippi State University

 Heat flux and heat conductance at the metal mold interface plays a key role in controlling the final metal casting strength. It is difficult to… (more)

Subjects/Keywords: FEA; Singular value decomposition; Uncertainty; Observer; Conjugate gradient; Zero-phase filter; Robustness; Inverse heat conduction; Ill-posed; thermocouple

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APA (6th Edition):

Xue, X. (2003). IMPROVEMENTS ON HEAT FLUX AND HEAT CONDUCTANCE ESTIMATION WITH APPLICATIONS TO METAL CASTINGS. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-08042003-091324/ ;

Chicago Manual of Style (16th Edition):

Xue, Xingjian. “IMPROVEMENTS ON HEAT FLUX AND HEAT CONDUCTANCE ESTIMATION WITH APPLICATIONS TO METAL CASTINGS.” 2003. Masters Thesis, Mississippi State University. Accessed July 10, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-08042003-091324/ ;.

MLA Handbook (7th Edition):

Xue, Xingjian. “IMPROVEMENTS ON HEAT FLUX AND HEAT CONDUCTANCE ESTIMATION WITH APPLICATIONS TO METAL CASTINGS.” 2003. Web. 10 Jul 2020.

Vancouver:

Xue X. IMPROVEMENTS ON HEAT FLUX AND HEAT CONDUCTANCE ESTIMATION WITH APPLICATIONS TO METAL CASTINGS. [Internet] [Masters thesis]. Mississippi State University; 2003. [cited 2020 Jul 10]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-08042003-091324/ ;.

Council of Science Editors:

Xue X. IMPROVEMENTS ON HEAT FLUX AND HEAT CONDUCTANCE ESTIMATION WITH APPLICATIONS TO METAL CASTINGS. [Masters Thesis]. Mississippi State University; 2003. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-08042003-091324/ ;

29. Koski, Antti E. Rapid Frequency Estimation.

Degree: MS, 2006, Worcester Polytechnic Institute

 Frequency estimation plays an important role in many digital signal processing applications. Many areas have benefited from the discovery of the Fast Fourier Transform (FFT)… (more)

Subjects/Keywords: DSS; ECM; SVD; Singular Value Decomposition; rapid frequency estimation; frequency estimation; Signal processing; Digital techniques; Fourier transformations

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APA (6th Edition):

Koski, A. E. (2006). Rapid Frequency Estimation. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-032806-165036 ; https://digitalcommons.wpi.edu/etd-theses/184

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):

Koski, Antti E. “Rapid Frequency Estimation.” 2006. Thesis, Worcester Polytechnic Institute. Accessed July 10, 2020. etd-032806-165036 ; https://digitalcommons.wpi.edu/etd-theses/184.

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

MLA Handbook (7th Edition):

Koski, Antti E. “Rapid Frequency Estimation.” 2006. Web. 10 Jul 2020.

Vancouver:

Koski AE. Rapid Frequency Estimation. [Internet] [Thesis]. Worcester Polytechnic Institute; 2006. [cited 2020 Jul 10]. Available from: etd-032806-165036 ; https://digitalcommons.wpi.edu/etd-theses/184.

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

Council of Science Editors:

Koski AE. Rapid Frequency Estimation. [Thesis]. Worcester Polytechnic Institute; 2006. Available from: etd-032806-165036 ; https://digitalcommons.wpi.edu/etd-theses/184

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


Duquesne University

30. Lukon, Shelly Candita. A Machine-Aided Approach to Intelligent Index Generation.

Degree: MS, Computational Mathematics, 2006, Duquesne University

 Back-of-the-book indexing is the process of generating a list of relevant terms, sub-terms and cross-references from a corpus and providing the user with corresponding page… (more)

Subjects/Keywords: back-of-the-book indexing; hierarchical cluster analysis; humanities computing; latent semantic analysis; singular value decomposition; word sense disambiguation

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

APA (6th Edition):

Lukon, S. C. (2006). A Machine-Aided Approach to Intelligent Index Generation. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/842

Chicago Manual of Style (16th Edition):

Lukon, Shelly Candita. “A Machine-Aided Approach to Intelligent Index Generation.” 2006. Masters Thesis, Duquesne University. Accessed July 10, 2020. https://dsc.duq.edu/etd/842.

MLA Handbook (7th Edition):

Lukon, Shelly Candita. “A Machine-Aided Approach to Intelligent Index Generation.” 2006. Web. 10 Jul 2020.

Vancouver:

Lukon SC. A Machine-Aided Approach to Intelligent Index Generation. [Internet] [Masters thesis]. Duquesne University; 2006. [cited 2020 Jul 10]. Available from: https://dsc.duq.edu/etd/842.

Council of Science Editors:

Lukon SC. A Machine-Aided Approach to Intelligent Index Generation. [Masters Thesis]. Duquesne University; 2006. Available from: https://dsc.duq.edu/etd/842

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