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You searched for subject:(matrix factorization). Showing records 1 – 30 of 222 total matches.

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Texas A&M University

1. Belsare, Aditya Sanjay. Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms.

Degree: 2014, Texas A&M University

 Direct sparse solvers are traditionally known to be robust, yet difficult to parallelize. In the context of circuit simulators, they present an important bottleneck where… (more)

Subjects/Keywords: Sparse matrix solver; LU Factorization

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

APA (6th Edition):

Belsare, A. S. (2014). Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153210

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):

Belsare, Aditya Sanjay. “Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms.” 2014. Thesis, Texas A&M University. Accessed May 25, 2019. http://hdl.handle.net/1969.1/153210.

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

MLA Handbook (7th Edition):

Belsare, Aditya Sanjay. “Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms.” 2014. Web. 25 May 2019.

Vancouver:

Belsare AS. Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 May 25]. Available from: http://hdl.handle.net/1969.1/153210.

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

Council of Science Editors:

Belsare AS. Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153210

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


University of New Mexico

2. Potluru, Vamsi. Matrix Factorization: Nonnegativity, Sparsity and Independence.

Degree: Department of Computer Science, 2014, University of New Mexico

Matrix factorization arises in a wide range of application domains and is useful for extracting the latent features in the dataset. Examples include recommender systems,… (more)

Subjects/Keywords: Matrix factorization; Nonnegativity; Sparsity; Independence

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APA (6th Edition):

Potluru, V. (2014). Matrix Factorization: Nonnegativity, Sparsity and Independence. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/24336

Chicago Manual of Style (16th Edition):

Potluru, Vamsi. “Matrix Factorization: Nonnegativity, Sparsity and Independence.” 2014. Doctoral Dissertation, University of New Mexico. Accessed May 25, 2019. http://hdl.handle.net/1928/24336.

MLA Handbook (7th Edition):

Potluru, Vamsi. “Matrix Factorization: Nonnegativity, Sparsity and Independence.” 2014. Web. 25 May 2019.

Vancouver:

Potluru V. Matrix Factorization: Nonnegativity, Sparsity and Independence. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2019 May 25]. Available from: http://hdl.handle.net/1928/24336.

Council of Science Editors:

Potluru V. Matrix Factorization: Nonnegativity, Sparsity and Independence. [Doctoral Dissertation]. University of New Mexico; 2014. Available from: http://hdl.handle.net/1928/24336

3. -7585-6925. Distributed and dynamic factor modeling of online data.

Degree: Electrical and Computer Engineering, 2017, University of Texas – Austin

 The domain of data mining and machine learning has expanded rapidly in recent years to include both large-scale distributed and streaming computation. Although many open-source… (more)

Subjects/Keywords: Distributed clustering; Dynamic clustering; Matrix factorization; Co-factorization

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APA (6th Edition):

-7585-6925. (2017). Distributed and dynamic factor modeling of online data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62065

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

Chicago Manual of Style (16th Edition):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Thesis, University of Texas – Austin. Accessed May 25, 2019. http://hdl.handle.net/2152/62065.

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

MLA Handbook (7th Edition):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Web. 25 May 2019.

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

Vancouver:

-7585-6925. Distributed and dynamic factor modeling of online data. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 May 25]. Available from: http://hdl.handle.net/2152/62065.

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

Council of Science Editors:

-7585-6925. Distributed and dynamic factor modeling of online data. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62065

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


NSYSU

4. Chang, Cheng-Jui. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization.

Degree: Master, Information Management, 2017, NSYSU

 This research proposes an approach to find the cuisines, the types of dishes, from the recipes, ingredients and methods of producing dishes. We believe that… (more)

Subjects/Keywords: clustering; network; recommendation; matrix factorization; text mining

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APA (6th Edition):

Chang, C. (2017). Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940

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):

Chang, Cheng-Jui. “Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization.” 2017. Thesis, NSYSU. Accessed May 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940.

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

MLA Handbook (7th Edition):

Chang, Cheng-Jui. “Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization.” 2017. Web. 25 May 2019.

Vancouver:

Chang C. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 May 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940.

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

Council of Science Editors:

Chang C. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940

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


University of Texas – Austin

5. Yu, Hsiang-Fu. Scalable algorithms for latent variable models in machine learning.

Degree: Computer Sciences, 2016, University of Texas – Austin

 Latent variable modeling (LVM) is a popular approach in many machine learning applications, such as recommender systems and topic modeling, due to its ability to… (more)

Subjects/Keywords: Latent variable modeling; Matrix factorization; Algorithms; Data

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APA (6th Edition):

Yu, H. (2016). Scalable algorithms for latent variable models in machine learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41635

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):

Yu, Hsiang-Fu. “Scalable algorithms for latent variable models in machine learning.” 2016. Thesis, University of Texas – Austin. Accessed May 25, 2019. http://hdl.handle.net/2152/41635.

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

MLA Handbook (7th Edition):

Yu, Hsiang-Fu. “Scalable algorithms for latent variable models in machine learning.” 2016. Web. 25 May 2019.

Vancouver:

Yu H. Scalable algorithms for latent variable models in machine learning. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 May 25]. Available from: http://hdl.handle.net/2152/41635.

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

Council of Science Editors:

Yu H. Scalable algorithms for latent variable models in machine learning. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41635

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


University of New South Wales

6. Luo, Cheng. Temporal Dynamics in Recommender Systems.

Degree: Computer Science & Engineering, 2016, University of New South Wales

 In real-world scenarios, user preferences for items are constantly drifting over time as item perception and popularity are changing when new fashions or products emerge.… (more)

Subjects/Keywords: matrix factorization; recommender systems; temporal dynamics

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APA (6th Edition):

Luo, C. (2016). Temporal Dynamics in Recommender Systems. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55939 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39683/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Luo, Cheng. “Temporal Dynamics in Recommender Systems.” 2016. Doctoral Dissertation, University of New South Wales. Accessed May 25, 2019. http://handle.unsw.edu.au/1959.4/55939 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39683/SOURCE02?view=true.

MLA Handbook (7th Edition):

Luo, Cheng. “Temporal Dynamics in Recommender Systems.” 2016. Web. 25 May 2019.

Vancouver:

Luo C. Temporal Dynamics in Recommender Systems. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2019 May 25]. Available from: http://handle.unsw.edu.au/1959.4/55939 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39683/SOURCE02?view=true.

Council of Science Editors:

Luo C. Temporal Dynamics in Recommender Systems. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/55939 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39683/SOURCE02?view=true


University of Minnesota

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Mosesov, Artem. “Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization.” 2014. Masters Thesis, University of Minnesota. Accessed May 25, 2019. http://hdl.handle.net/11299/173949.

MLA Handbook (7th Edition):

Mosesov, Artem. “Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization.” 2014. Web. 25 May 2019.

Vancouver:

Mosesov A. Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization. [Internet] [Masters thesis]. University of Minnesota; 2014. [cited 2019 May 25]. Available from: http://hdl.handle.net/11299/173949.

Council of Science Editors:

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


University of Minnesota

8. Sun, Ruoyu. Matrix Completion via Nonconvex Factorization: Algorithms and Theory.

Degree: PhD, Electrical/Computer Engineering, 2015, University of Minnesota

 Learning low-rank structure of the data matrix is a powerful method to deal with ``big data''. However, in many modern applications such as recommendation systems… (more)

Subjects/Keywords: alternating minimization; matrix completion; matrix factorization; nonconvex; optimization; SGD

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APA (6th Edition):

Sun, R. (2015). Matrix Completion via Nonconvex Factorization: Algorithms and Theory. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175344

Chicago Manual of Style (16th Edition):

Sun, Ruoyu. “Matrix Completion via Nonconvex Factorization: Algorithms and Theory.” 2015. Doctoral Dissertation, University of Minnesota. Accessed May 25, 2019. http://hdl.handle.net/11299/175344.

MLA Handbook (7th Edition):

Sun, Ruoyu. “Matrix Completion via Nonconvex Factorization: Algorithms and Theory.” 2015. Web. 25 May 2019.

Vancouver:

Sun R. Matrix Completion via Nonconvex Factorization: Algorithms and Theory. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 May 25]. Available from: http://hdl.handle.net/11299/175344.

Council of Science Editors:

Sun R. Matrix Completion via Nonconvex Factorization: Algorithms and Theory. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175344


University of Technology, Sydney

9. Li, Fangfang. Incorporating couplings into collaborative filtering.

Degree: 2016, University of Technology, Sydney

 Recommender Systems (RS) have been proposed to help users tackle information overload by suggesting potentially interesting items to users. A typical RS usually has a… (more)

Subjects/Keywords: Recommender Systems (RS).; Collaborative Filtering (CF).; Hybrid Filtering.; Coupling.; Coupled user-based matrix factorization (CUMF).; Coupled item-based matrix factorization (CIMF).; Coupled matrix factorization (CMF).

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APA (6th Edition):

Li, F. (2016). Incorporating couplings into collaborative filtering. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/44174

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):

Li, Fangfang. “Incorporating couplings into collaborative filtering.” 2016. Thesis, University of Technology, Sydney. Accessed May 25, 2019. http://hdl.handle.net/10453/44174.

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

MLA Handbook (7th Edition):

Li, Fangfang. “Incorporating couplings into collaborative filtering.” 2016. Web. 25 May 2019.

Vancouver:

Li F. Incorporating couplings into collaborative filtering. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2019 May 25]. Available from: http://hdl.handle.net/10453/44174.

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

Council of Science Editors:

Li F. Incorporating couplings into collaborative filtering. [Thesis]. University of Technology, Sydney; 2016. Available from: http://hdl.handle.net/10453/44174

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


NSYSU

10. Yang, Wan-Chen. Topic Evolution Discovery based on Regularized Matrix Factorization.

Degree: Master, Information Management, 2018, NSYSU

 In this thesis, we propose Hierarchical Non-negative Matrix Factorization(hNMF) to discover the hierarchical correlation among topics. The topics in lower layers are more concrete, whereas… (more)

Subjects/Keywords: Topic model; Hierarchical model; Non-negative matrix factorization; Hierarchical Non-negative matrix factorization; Topic classification; Topic evolution discovery; Multi-layer topic

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APA (6th Edition):

Yang, W. (2018). Topic Evolution Discovery based on Regularized Matrix Factorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310

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):

Yang, Wan-Chen. “Topic Evolution Discovery based on Regularized Matrix Factorization.” 2018. Thesis, NSYSU. Accessed May 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310.

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

MLA Handbook (7th Edition):

Yang, Wan-Chen. “Topic Evolution Discovery based on Regularized Matrix Factorization.” 2018. Web. 25 May 2019.

Vancouver:

Yang W. Topic Evolution Discovery based on Regularized Matrix Factorization. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 May 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310.

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

Council of Science Editors:

Yang W. Topic Evolution Discovery based on Regularized Matrix Factorization. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310

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


University of California – Irvine

11. Pezeshkpour, Pouya. Compact Factorization of Matrices Using Generalized Round-Rank.

Degree: Electrical and Computer Engineering, 2018, University of California – Irvine

Matrix factorization is a popular machine learning technique, with applications in variety of domains, such as recommendation systems [16, 28], natural language processing [26], and… (more)

Subjects/Keywords: Electrical engineering; Computer science; Generalized Round-Rank; Linear Rank; Matrix Completion; Matrix Factorization

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APA (6th Edition):

Pezeshkpour, P. (2018). Compact Factorization of Matrices Using Generalized Round-Rank. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9x58b95k

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):

Pezeshkpour, Pouya. “Compact Factorization of Matrices Using Generalized Round-Rank.” 2018. Thesis, University of California – Irvine. Accessed May 25, 2019. http://www.escholarship.org/uc/item/9x58b95k.

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

MLA Handbook (7th Edition):

Pezeshkpour, Pouya. “Compact Factorization of Matrices Using Generalized Round-Rank.” 2018. Web. 25 May 2019.

Vancouver:

Pezeshkpour P. Compact Factorization of Matrices Using Generalized Round-Rank. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2019 May 25]. Available from: http://www.escholarship.org/uc/item/9x58b95k.

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

Council of Science Editors:

Pezeshkpour P. Compact Factorization of Matrices Using Generalized Round-Rank. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/9x58b95k

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


University of Minnesota

12. Sharma, Mohit. Preference modeling and Accuracy in Recommender Systems.

Degree: PhD, Computer Science, 2017, University of Minnesota

 Recommender systems are widely used to recommend the most appealing items to users. In this thesis, we focus on analyzing the accuracy of the state-of-the-art… (more)

Subjects/Keywords: Cold-Start item recommendations; Collaborative filtering; Group of items; Matrix completion; Matrix factorization; Recommender systems

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APA (6th Edition):

Sharma, M. (2017). Preference modeling and Accuracy in Recommender Systems. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/192686

Chicago Manual of Style (16th Edition):

Sharma, Mohit. “Preference modeling and Accuracy in Recommender Systems.” 2017. Doctoral Dissertation, University of Minnesota. Accessed May 25, 2019. http://hdl.handle.net/11299/192686.

MLA Handbook (7th Edition):

Sharma, Mohit. “Preference modeling and Accuracy in Recommender Systems.” 2017. Web. 25 May 2019.

Vancouver:

Sharma M. Preference modeling and Accuracy in Recommender Systems. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2019 May 25]. Available from: http://hdl.handle.net/11299/192686.

Council of Science Editors:

Sharma M. Preference modeling and Accuracy in Recommender Systems. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/192686


Dalhousie University

13. Toganassova, Dilyara. SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA.

Degree: Master of Applied Science, Department of Environmental Engineering, 2013, Dalhousie University

 This study investigated the source attribution of ship emissions to atmospheric particulate matter with a median aerodynamic diameter less than, or equal to 2.5 micron… (more)

Subjects/Keywords: Source apportionment; PM2.5; USEPA Positive Matrix Factorization; sources (factors)

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APA (6th Edition):

Toganassova, D. (2013). SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/21432

Chicago Manual of Style (16th Edition):

Toganassova, Dilyara. “SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA.” 2013. Masters Thesis, Dalhousie University. Accessed May 25, 2019. http://hdl.handle.net/10222/21432.

MLA Handbook (7th Edition):

Toganassova, Dilyara. “SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA.” 2013. Web. 25 May 2019.

Vancouver:

Toganassova D. SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2019 May 25]. Available from: http://hdl.handle.net/10222/21432.

Council of Science Editors:

Toganassova D. SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA. [Masters Thesis]. Dalhousie University; 2013. Available from: http://hdl.handle.net/10222/21432


University of Ontario Institute of Technology

14. Shanks, Ryan A. Towards parallax-based unencumbered displays.

Degree: 2015, University of Ontario Institute of Technology

 We present an analysis of content adaptive parallax barriers used for multi-layer unencumbered displays. We explain the techniques involved in detail from the input light… (more)

Subjects/Keywords: Computational displays; Content adaptive parallax barriers; Non-negative matrix factorization; Autostereoscopic

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APA (6th Edition):

Shanks, R. A. (2015). Towards parallax-based unencumbered displays. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/620

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):

Shanks, Ryan A. “Towards parallax-based unencumbered displays.” 2015. Thesis, University of Ontario Institute of Technology. Accessed May 25, 2019. http://hdl.handle.net/10155/620.

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

MLA Handbook (7th Edition):

Shanks, Ryan A. “Towards parallax-based unencumbered displays.” 2015. Web. 25 May 2019.

Vancouver:

Shanks RA. Towards parallax-based unencumbered displays. [Internet] [Thesis]. University of Ontario Institute of Technology; 2015. [cited 2019 May 25]. Available from: http://hdl.handle.net/10155/620.

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

Council of Science Editors:

Shanks RA. Towards parallax-based unencumbered displays. [Thesis]. University of Ontario Institute of Technology; 2015. Available from: http://hdl.handle.net/10155/620

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


University of Alberta

15. Liu, Bang. Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction.

Degree: MS, Department of Electrical and Computer Engineering, 2015, University of Alberta

 In this thesis, I study the application of matrix and tensor approximation techniques to Internet latency prediction and purchase prediction in e-commerce. Traditional approaches for… (more)

Subjects/Keywords: Network Latency Prediction; Online Purchase Prediction; Matrix Factorization

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

APA (6th Edition):

Liu, B. (2015). Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/zw12z797h

Chicago Manual of Style (16th Edition):

Liu, Bang. “Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction.” 2015. Masters Thesis, University of Alberta. Accessed May 25, 2019. https://era.library.ualberta.ca/files/zw12z797h.

MLA Handbook (7th Edition):

Liu, Bang. “Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction.” 2015. Web. 25 May 2019.

Vancouver:

Liu B. Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 May 25]. Available from: https://era.library.ualberta.ca/files/zw12z797h.

Council of Science Editors:

Liu B. Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/zw12z797h


NSYSU

16. Ku, Che-wen. Topic Recommendation and Discovery based on Matrix Factorization.

Degree: Master, Information Management, 2017, NSYSU

 Nowadays, there are more and more text documents on the Internet with the development of the Internet, because much information is related to text. Thus,… (more)

Subjects/Keywords: Non-negative Matrix Factorization; Topic Discovery; Recommendation; Topic Modeling

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APA (6th Edition):

Ku, C. (2017). Topic Recommendation and Discovery based on Matrix Factorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750

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):

Ku, Che-wen. “Topic Recommendation and Discovery based on Matrix Factorization.” 2017. Thesis, NSYSU. Accessed May 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750.

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

MLA Handbook (7th Edition):

Ku, Che-wen. “Topic Recommendation and Discovery based on Matrix Factorization.” 2017. Web. 25 May 2019.

Vancouver:

Ku C. Topic Recommendation and Discovery based on Matrix Factorization. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 May 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750.

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

Council of Science Editors:

Ku C. Topic Recommendation and Discovery based on Matrix Factorization. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750

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


Texas A&M University

17. Lee, Sang Han. Estimating and testing of functional data with restrictions.

Degree: 2009, Texas A&M University

 The objective of this dissertation is to develop a suitable statistical methodology for functional data analysis. Modern advanced technology allows researchers to collect samples as… (more)

Subjects/Keywords: functional data; curve testing; non-negative matrix factorization

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

APA (6th Edition):

Lee, S. H. (2009). Estimating and testing of functional data with restrictions. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1626

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):

Lee, Sang Han. “Estimating and testing of functional data with restrictions.” 2009. Thesis, Texas A&M University. Accessed May 25, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1626.

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

MLA Handbook (7th Edition):

Lee, Sang Han. “Estimating and testing of functional data with restrictions.” 2009. Web. 25 May 2019.

Vancouver:

Lee SH. Estimating and testing of functional data with restrictions. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 May 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1626.

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

Council of Science Editors:

Lee SH. Estimating and testing of functional data with restrictions. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1626

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


Univerzitet u Beogradu

18. Kovačević, Renata M., 1970-. Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora.

Degree: Hemijski fakultet, 2017, Univerzitet u Beogradu

Hemija / Chemistry

U radu je analizirano ukupno 416 uzoraka frakcija respirabilnih čestica (PM10 i PM2.5), sakupljenih tokom 2009. i 2010. godine sa lokaliteta obdaništa… (more)

Subjects/Keywords: air pollution; respirable particles; copper smelter; arsenic; positive matrix factorization

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APA (6th Edition):

Kovačević, Renata M., 1. (2017). Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:15475/bdef:Content/get

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):

Kovačević, Renata M., 1970-. “Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora.” 2017. Thesis, Univerzitet u Beogradu. Accessed May 25, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:15475/bdef:Content/get.

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

MLA Handbook (7th Edition):

Kovačević, Renata M., 1970-. “Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora.” 2017. Web. 25 May 2019.

Vancouver:

Kovačević, Renata M. 1. Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora. [Internet] [Thesis]. Univerzitet u Beogradu; 2017. [cited 2019 May 25]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:15475/bdef:Content/get.

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

Council of Science Editors:

Kovačević, Renata M. 1. Sadržaj i sastav respirabilnih čestica u urbanoj sredini grada Bora. [Thesis]. Univerzitet u Beogradu; 2017. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:15475/bdef:Content/get

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


NSYSU

19. Ma, Chuan-yuan. Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation.

Degree: Master, Information Management, 2014, NSYSU

 It becomes a more and more popular approach to develop recommendation systems based on trust relationships on the social networks. While social information that explicitly… (more)

Subjects/Keywords: K-Nearest Neighbor; Trust Transitivity; Distrust; Matrix Factorization; In-Degree

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

APA (6th Edition):

Ma, C. (2014). Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648

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):

Ma, Chuan-yuan. “Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation.” 2014. Thesis, NSYSU. Accessed May 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648.

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

MLA Handbook (7th Edition):

Ma, Chuan-yuan. “Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation.” 2014. Web. 25 May 2019.

Vancouver:

Ma C. Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 May 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648.

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

Council of Science Editors:

Ma C. Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648

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


NSYSU

20. Tseng, Kuan-Yu. Context-aware Collaborative Filtering Methods for Multimedia Recommendation.

Degree: Master, Information Management, 2014, NSYSU

 The rapid development of mobile device and multimedia allows us today to have extremely rich multimedia information sources. The numbers of data also increase rapidly… (more)

Subjects/Keywords: Mobile Device; Collaborative Filtering; Matrix Factorization; Context-Awareness; Recommender System

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APA (6th Edition):

Tseng, K. (2014). Context-aware Collaborative Filtering Methods for Multimedia Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019

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):

Tseng, Kuan-Yu. “Context-aware Collaborative Filtering Methods for Multimedia Recommendation.” 2014. Thesis, NSYSU. Accessed May 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019.

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

MLA Handbook (7th Edition):

Tseng, Kuan-Yu. “Context-aware Collaborative Filtering Methods for Multimedia Recommendation.” 2014. Web. 25 May 2019.

Vancouver:

Tseng K. Context-aware Collaborative Filtering Methods for Multimedia Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 May 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019.

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

Council of Science Editors:

Tseng K. Context-aware Collaborative Filtering Methods for Multimedia Recommendation. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019

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


NSYSU

21. Hsieh, Sung-chen. Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials.

Degree: Master, Applied Mathematics, 2014, NSYSU

 Computing the greatest common divisor (GCD) of univariate polynomials is one of the fundamental algebraic problems with a long history. The classical Euclidean algorithm is… (more)

Subjects/Keywords: numerical nullity; polynomial; greatest common divisor; Sylvester matrix; QR-factorization

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APA (6th Edition):

Hsieh, S. (2014). Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1117114-104741

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):

Hsieh, Sung-chen. “Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials.” 2014. Thesis, NSYSU. Accessed May 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1117114-104741.

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

MLA Handbook (7th Edition):

Hsieh, Sung-chen. “Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials.” 2014. Web. 25 May 2019.

Vancouver:

Hsieh S. Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 May 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1117114-104741.

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

Council of Science Editors:

Hsieh S. Computing the Numerical Nullity of Sylvester Matrix of Univariate Polynomials. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1117114-104741

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


NSYSU

22. Yang, Tsung-Lin. Combining Trust Relationships and Super Users for Collaborative Recommendation.

Degree: Master, Information Management, 2017, NSYSU

 The network and mobile communication develop very quickly in recent years. We could get the data easily online. However, the speed of data transformation is… (more)

Subjects/Keywords: Collaborative Filtering; Recommendation System; Cold Start; Matrix Factorization; Trust

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APA (6th Edition):

Yang, T. (2017). Combining Trust Relationships and Super Users for Collaborative Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742

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):

Yang, Tsung-Lin. “Combining Trust Relationships and Super Users for Collaborative Recommendation.” 2017. Thesis, NSYSU. Accessed May 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742.

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

MLA Handbook (7th Edition):

Yang, Tsung-Lin. “Combining Trust Relationships and Super Users for Collaborative Recommendation.” 2017. Web. 25 May 2019.

Vancouver:

Yang T. Combining Trust Relationships and Super Users for Collaborative Recommendation. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 May 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742.

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

Council of Science Editors:

Yang T. Combining Trust Relationships and Super Users for Collaborative Recommendation. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742

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


NSYSU

23. Wang, Shih-hao. Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set.

Degree: Master, Information Management, 2017, NSYSU

 There are two types of methods often used to develop collaborative recommender systems. One is based on the similarity calculation and the other is based… (more)

Subjects/Keywords: Context Aware; Matrix Factorization; Cloud Computing; Recommended System; Collaborative Filtering

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APA (6th Edition):

Wang, S. (2017). Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746

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, Shih-hao. “Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set.” 2017. Thesis, NSYSU. Accessed May 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746.

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

MLA Handbook (7th Edition):

Wang, Shih-hao. “Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set.” 2017. Web. 25 May 2019.

Vancouver:

Wang S. Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 May 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746.

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

Council of Science Editors:

Wang S. Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746

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


Université de Montréal

24. Greavu, Cristina. Les polynômes orthogonaux matriciels et la méthode de factorisation .

Degree: 2014, Université de Montréal

La méthode de factorisation est appliquée sur les données initiales d'un problème de mécanique quantique déja résolu. Les solutions (états propres et fonctions propres) sont presque tous retrouvés. Advisors/Committee Members: Vinet, Luc (advisor).

Subjects/Keywords: Polynôme; Ortogonaux; Matrice; Factorisation; Polynomials; Orthogonal; Matrix; Factorization

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APA (6th Edition):

Greavu, C. (2014). Les polynômes orthogonaux matriciels et la méthode de factorisation . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/11873

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):

Greavu, Cristina. “Les polynômes orthogonaux matriciels et la méthode de factorisation .” 2014. Thesis, Université de Montréal. Accessed May 25, 2019. http://hdl.handle.net/1866/11873.

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

MLA Handbook (7th Edition):

Greavu, Cristina. “Les polynômes orthogonaux matriciels et la méthode de factorisation .” 2014. Web. 25 May 2019.

Vancouver:

Greavu C. Les polynômes orthogonaux matriciels et la méthode de factorisation . [Internet] [Thesis]. Université de Montréal; 2014. [cited 2019 May 25]. Available from: http://hdl.handle.net/1866/11873.

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

Council of Science Editors:

Greavu C. Les polynômes orthogonaux matriciels et la méthode de factorisation . [Thesis]. Université de Montréal; 2014. Available from: http://hdl.handle.net/1866/11873

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


University of Georgia

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

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 May 25, 2019. 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. 25 May 2019.

Vancouver:

Jahangeer K. An open science approach to exploring time-accuracy trade-offs in recommender systems. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 May 25]. 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


Purdue University

26. Kang, Jisun. Improving a mesh segmentation algorithm based on non-negative matrix factorization.

Degree: MS, Computer Graphics Technology, 2016, Purdue University

  3D Mesh segmentation is used in various applications such as object recognition, reconstruction, and analyzing structure of meshes. The method for 3D mesh segmentation… (more)

Subjects/Keywords: Applied sciences; Mesh segmentation; Non-negative matrix factorization; Computer Sciences

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

APA (6th Edition):

Kang, J. (2016). Improving a mesh segmentation algorithm based on non-negative matrix factorization. (Thesis). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_theses/861

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):

Kang, Jisun. “Improving a mesh segmentation algorithm based on non-negative matrix factorization.” 2016. Thesis, Purdue University. Accessed May 25, 2019. https://docs.lib.purdue.edu/open_access_theses/861.

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

MLA Handbook (7th Edition):

Kang, Jisun. “Improving a mesh segmentation algorithm based on non-negative matrix factorization.” 2016. Web. 25 May 2019.

Vancouver:

Kang J. Improving a mesh segmentation algorithm based on non-negative matrix factorization. [Internet] [Thesis]. Purdue University; 2016. [cited 2019 May 25]. Available from: https://docs.lib.purdue.edu/open_access_theses/861.

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

Council of Science Editors:

Kang J. Improving a mesh segmentation algorithm based on non-negative matrix factorization. [Thesis]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_theses/861

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


University of Edinburgh

27. Hogg, Jonathan David. High performance Cholesky and symmetric indefinite factorizations with applications.

Degree: PhD, 2010, University of Edinburgh

 The process of factorizing a symmetric matrix using the Cholesky (LLT ) or indefinite (LDLT ) factorization of A allows the efficient solution of systems… (more)

Subjects/Keywords: 518; symmetric matrix; Cholesky factorization; sparse symmetric linear systems; DAG-based

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APA (6th Edition):

Hogg, J. D. (2010). High performance Cholesky and symmetric indefinite factorizations with applications. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4892

Chicago Manual of Style (16th Edition):

Hogg, Jonathan David. “High performance Cholesky and symmetric indefinite factorizations with applications.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed May 25, 2019. http://hdl.handle.net/1842/4892.

MLA Handbook (7th Edition):

Hogg, Jonathan David. “High performance Cholesky and symmetric indefinite factorizations with applications.” 2010. Web. 25 May 2019.

Vancouver:

Hogg JD. High performance Cholesky and symmetric indefinite factorizations with applications. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 May 25]. Available from: http://hdl.handle.net/1842/4892.

Council of Science Editors:

Hogg JD. High performance Cholesky and symmetric indefinite factorizations with applications. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4892


Baylor University

28. [No author]. Applications of full rank factorization to solving matrix equations .

Degree: Mathematics., 1992, Baylor University

 In the study of matrices, we are always searching for tools which allow us to simplify our investigations. Because full rank factorizations exist for all… (more)

Subjects/Keywords: matrix; mathematics; full rank factorization

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

APA (6th Edition):

author], [. (1992). Applications of full rank factorization to solving matrix equations . (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/9527

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):

author], [No. “Applications of full rank factorization to solving matrix equations .” 1992. Thesis, Baylor University. Accessed May 25, 2019. http://hdl.handle.net/2104/9527.

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

MLA Handbook (7th Edition):

author], [No. “Applications of full rank factorization to solving matrix equations .” 1992. Web. 25 May 2019.

Vancouver:

author] [. Applications of full rank factorization to solving matrix equations . [Internet] [Thesis]. Baylor University; 1992. [cited 2019 May 25]. Available from: http://hdl.handle.net/2104/9527.

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

Council of Science Editors:

author] [. Applications of full rank factorization to solving matrix equations . [Thesis]. Baylor University; 1992. Available from: http://hdl.handle.net/2104/9527

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


UCLA

29. Hu, Chufeng. Application of Neural Network Based Recommendation System.

Degree: Statistics, 2017, UCLA

 In the recommendation system, data comes in the form of a vector or matrix. Matrix factorization techniques attempt to recover missing or corrupted entries by… (more)

Subjects/Keywords: Statistics; collaborative filtering; matrix factorization; neural network; recommendation system

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

APA (6th Edition):

Hu, C. (2017). Application of Neural Network Based Recommendation System. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/4dc4v66k

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):

Hu, Chufeng. “Application of Neural Network Based Recommendation System.” 2017. Thesis, UCLA. Accessed May 25, 2019. http://www.escholarship.org/uc/item/4dc4v66k.

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

MLA Handbook (7th Edition):

Hu, Chufeng. “Application of Neural Network Based Recommendation System.” 2017. Web. 25 May 2019.

Vancouver:

Hu C. Application of Neural Network Based Recommendation System. [Internet] [Thesis]. UCLA; 2017. [cited 2019 May 25]. Available from: http://www.escholarship.org/uc/item/4dc4v66k.

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

Council of Science Editors:

Hu C. Application of Neural Network Based Recommendation System. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/4dc4v66k

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


University of Sydney

30. Du, Yuxuan. Quantum Divide-and-Conquer Anchoring .

Degree: 2018, University of Sydney

 Among matrix decomposition methods, the two factorized matrices obtained by Non-negative matrix factorization (NMF) generally yield a more natural and interpretable representations. It is computationally… (more)

Subjects/Keywords: Quantum Machine Learning; Quantum Non-negative Matrix Factorization

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

APA (6th Edition):

Du, Y. (2018). Quantum Divide-and-Conquer Anchoring . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/18177

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):

Du, Yuxuan. “Quantum Divide-and-Conquer Anchoring .” 2018. Thesis, University of Sydney. Accessed May 25, 2019. http://hdl.handle.net/2123/18177.

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

MLA Handbook (7th Edition):

Du, Yuxuan. “Quantum Divide-and-Conquer Anchoring .” 2018. Web. 25 May 2019.

Vancouver:

Du Y. Quantum Divide-and-Conquer Anchoring . [Internet] [Thesis]. University of Sydney; 2018. [cited 2019 May 25]. Available from: http://hdl.handle.net/2123/18177.

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

Council of Science Editors:

Du Y. Quantum Divide-and-Conquer Anchoring . [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/18177

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

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