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You searched for subject:(Factorization). Showing records 1 – 30 of 476 total matches.

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University of Houston

1. Ng, Wai Hin 1987-. Tensor Products and Factorizations of Operator Systems.

Degree: Mathematics, Department of, 2016, University of Houston

 In this dissertation, we start by studying the operator system maximal tensor product, called max, in [17] from different perspectives. One approach is by the… (more)

Subjects/Keywords: Tensor products; Factorization

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APA (6th Edition):

Ng, W. H. 1. (2016). Tensor Products and Factorizations of Operator Systems. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3186

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):

Ng, Wai Hin 1987-. “Tensor Products and Factorizations of Operator Systems.” 2016. Thesis, University of Houston. Accessed January 29, 2020. http://hdl.handle.net/10657/3186.

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

MLA Handbook (7th Edition):

Ng, Wai Hin 1987-. “Tensor Products and Factorizations of Operator Systems.” 2016. Web. 29 Jan 2020.

Vancouver:

Ng WH1. Tensor Products and Factorizations of Operator Systems. [Internet] [Thesis]. University of Houston; 2016. [cited 2020 Jan 29]. Available from: http://hdl.handle.net/10657/3186.

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

Council of Science Editors:

Ng WH1. Tensor Products and Factorizations of Operator Systems. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3186

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


Texas A&M University

2. 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 (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 January 29, 2020. 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. 29 Jan 2020.

Vancouver:

Belsare AS. Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Jan 29]. 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

3. 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 January 29, 2020. http://hdl.handle.net/1928/24336.

MLA Handbook (7th Edition):

Potluru, Vamsi. “Matrix Factorization: Nonnegativity, Sparsity and Independence.” 2014. Web. 29 Jan 2020.

Vancouver:

Potluru V. Matrix Factorization: Nonnegativity, Sparsity and Independence. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2020 Jan 29]. 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

4. Hwang, Kuo-chang. A Factorization Method Using 3-D Linear Combination for Shape and Motion Recovery : 3次元線形結合を用いた因子分解法による物体形状とカメラ運動の復元; 3ジゲン センケイ ケツゴウ オ モチイタ インシ ブンカイホウ ニヨル ブッタイ ケイジョウ ト カメラ ウンドウ ノ フクゲン.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

Subjects/Keywords: factorization; orthogonalization

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APA (6th Edition):

Hwang, K. (n.d.). A Factorization Method Using 3-D Linear Combination for Shape and Motion Recovery : 3次元線形結合を用いた因子分解法による物体形状とカメラ運動の復元; 3ジゲン センケイ ケツゴウ オ モチイタ インシ ブンカイホウ ニヨル ブッタイ ケイジョウ ト カメラ ウンドウ ノ フクゲン. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/2051

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hwang, Kuo-chang. “A Factorization Method Using 3-D Linear Combination for Shape and Motion Recovery : 3次元線形結合を用いた因子分解法による物体形状とカメラ運動の復元; 3ジゲン センケイ ケツゴウ オ モチイタ インシ ブンカイホウ ニヨル ブッタイ ケイジョウ ト カメラ ウンドウ ノ フクゲン.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed January 29, 2020. http://hdl.handle.net/10061/2051.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hwang, Kuo-chang. “A Factorization Method Using 3-D Linear Combination for Shape and Motion Recovery : 3次元線形結合を用いた因子分解法による物体形状とカメラ運動の復元; 3ジゲン センケイ ケツゴウ オ モチイタ インシ ブンカイホウ ニヨル ブッタイ ケイジョウ ト カメラ ウンドウ ノ フクゲン.” Web. 29 Jan 2020.

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

Vancouver:

Hwang K. A Factorization Method Using 3-D Linear Combination for Shape and Motion Recovery : 3次元線形結合を用いた因子分解法による物体形状とカメラ運動の復元; 3ジゲン センケイ ケツゴウ オ モチイタ インシ ブンカイホウ ニヨル ブッタイ ケイジョウ ト カメラ ウンドウ ノ フクゲン. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2020 Jan 29]. Available from: http://hdl.handle.net/10061/2051.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Hwang K. A Factorization Method Using 3-D Linear Combination for Shape and Motion Recovery : 3次元線形結合を用いた因子分解法による物体形状とカメラ運動の復元; 3ジゲン センケイ ケツゴウ オ モチイタ インシ ブンカイホウ ニヨル ブッタイ ケイジョウ ト カメラ ウンドウ ノ フクゲン. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/2051

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Brandeis University

5. Curcuru, Todd. What You Don’t See is What You Get: Lexical Factorization of Verbs of Seeing.

Degree: 2015, Brandeis University

 In 1972 Aravind Joshi created an unpublished manuscript titled “Factorization of Verbs: An Analysis of Verbs of Seeing” that examined decomposing the semantic meaning of… (more)

Subjects/Keywords: lexical semantics; lexical factorization

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APA (6th Edition):

Curcuru, T. (2015). What You Don’t See is What You Get: Lexical Factorization of Verbs of Seeing. (Thesis). Brandeis University. Retrieved from http://hdl.handle.net/10192/31073

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):

Curcuru, Todd. “What You Don’t See is What You Get: Lexical Factorization of Verbs of Seeing.” 2015. Thesis, Brandeis University. Accessed January 29, 2020. http://hdl.handle.net/10192/31073.

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

MLA Handbook (7th Edition):

Curcuru, Todd. “What You Don’t See is What You Get: Lexical Factorization of Verbs of Seeing.” 2015. Web. 29 Jan 2020.

Vancouver:

Curcuru T. What You Don’t See is What You Get: Lexical Factorization of Verbs of Seeing. [Internet] [Thesis]. Brandeis University; 2015. [cited 2020 Jan 29]. Available from: http://hdl.handle.net/10192/31073.

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

Council of Science Editors:

Curcuru T. What You Don’t See is What You Get: Lexical Factorization of Verbs of Seeing. [Thesis]. Brandeis University; 2015. Available from: http://hdl.handle.net/10192/31073

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


University of Minnesota

6. Smith, Shaden. Algorithms for Large-Scale Sparse Tensor Factorization.

Degree: PhD, Computer Science, 2019, University of Minnesota

 Tensor factorization is a technique for analyzing data that features interactions of data along three or more axes, or modes. Many fields such as retail,… (more)

Subjects/Keywords: parallel; sparse; tensor factorization

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APA (6th Edition):

Smith, S. (2019). Algorithms for Large-Scale Sparse Tensor Factorization. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/206375

Chicago Manual of Style (16th Edition):

Smith, Shaden. “Algorithms for Large-Scale Sparse Tensor Factorization.” 2019. Doctoral Dissertation, University of Minnesota. Accessed January 29, 2020. http://hdl.handle.net/11299/206375.

MLA Handbook (7th Edition):

Smith, Shaden. “Algorithms for Large-Scale Sparse Tensor Factorization.” 2019. Web. 29 Jan 2020.

Vancouver:

Smith S. Algorithms for Large-Scale Sparse Tensor Factorization. [Internet] [Doctoral dissertation]. University of Minnesota; 2019. [cited 2020 Jan 29]. Available from: http://hdl.handle.net/11299/206375.

Council of Science Editors:

Smith S. Algorithms for Large-Scale Sparse Tensor Factorization. [Doctoral Dissertation]. University of Minnesota; 2019. Available from: http://hdl.handle.net/11299/206375


University of Texas – Austin

7. Zhan, Wenjing. Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation.

Degree: MSin Statistics, Statistics, 2014, University of Texas – Austin

 The key task for a search engine advertising system is, for each query that the search engine receives, to choose what advertisement should be displayed,… (more)

Subjects/Keywords: CTR prediction; Poisson factorization

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APA (6th Edition):

Zhan, W. (2014). Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26580

Chicago Manual of Style (16th Edition):

Zhan, Wenjing. “Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation.” 2014. Masters Thesis, University of Texas – Austin. Accessed January 29, 2020. http://hdl.handle.net/2152/26580.

MLA Handbook (7th Edition):

Zhan, Wenjing. “Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation.” 2014. Web. 29 Jan 2020.

Vancouver:

Zhan W. Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2020 Jan 29]. Available from: http://hdl.handle.net/2152/26580.

Council of Science Editors:

Zhan W. Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26580


University of Texas – Austin

8. Murali, Vaibhav. Nonarchimedean factorization theorems via factorization algebras.

Degree: PhD, Mathematics, 2019, University of Texas – Austin

 We formulate an analogue of factorization algebras theory over a nonarchimedean field K, building on work of Costello and Gwilliam in the complex analytic case.… (more)

Subjects/Keywords: Nonarchimedean geometry; Factorization algebras

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APA (6th Edition):

Murali, V. (2019). Nonarchimedean factorization theorems via factorization algebras. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/5789

Chicago Manual of Style (16th Edition):

Murali, Vaibhav. “Nonarchimedean factorization theorems via factorization algebras.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 29, 2020. http://dx.doi.org/10.26153/tsw/5789.

MLA Handbook (7th Edition):

Murali, Vaibhav. “Nonarchimedean factorization theorems via factorization algebras.” 2019. Web. 29 Jan 2020.

Vancouver:

Murali V. Nonarchimedean factorization theorems via factorization algebras. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2020 Jan 29]. Available from: http://dx.doi.org/10.26153/tsw/5789.

Council of Science Editors:

Murali V. Nonarchimedean factorization theorems via factorization algebras. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/5789

9. -7585-6925. Distributed and dynamic factor modeling of online data.

Degree: PhD, 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. (Doctoral Dissertation). 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

Chicago Manual of Style (16th Edition):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 29, 2020. http://hdl.handle.net/2152/62065.

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

MLA Handbook (7th Edition):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Web. 29 Jan 2020.

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] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2020 Jan 29]. 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

Council of Science Editors:

-7585-6925. Distributed and dynamic factor modeling of online data. [Doctoral Dissertation]. 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


University of Minnesota

10. 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 January 29, 2020. 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. 29 Jan 2020.

Vancouver:

Mosesov A. Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization. [Internet] [Masters thesis]. University of Minnesota; 2014. [cited 2020 Jan 29]. 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


NSYSU

11. 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 January 29, 2020. 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. 29 Jan 2020.

Vancouver:

Chang C. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Jan 29]. 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

12. Brich, Jennifer. Formalizing Factorization in Monoids and Noetherian Rings.

Degree: 2015, California State University – San Marcos

 This thesis focuses on the formalization of basic topics in commutative algebra using the proof assistant Isabelle. This written exposition will provide an overview of… (more)

Subjects/Keywords: Formalization; Commutative Algebra; Isabelle; Noetherian Rings; Factorization

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APA (6th Edition):

Brich, J. (2015). Formalizing Factorization in Monoids and Noetherian Rings. (Thesis). California State University – San Marcos. Retrieved from http://hdl.handle.net/10211.3/139734

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):

Brich, Jennifer. “Formalizing Factorization in Monoids and Noetherian Rings. ” 2015. Thesis, California State University – San Marcos. Accessed January 29, 2020. http://hdl.handle.net/10211.3/139734.

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

MLA Handbook (7th Edition):

Brich, Jennifer. “Formalizing Factorization in Monoids and Noetherian Rings. ” 2015. Web. 29 Jan 2020.

Vancouver:

Brich J. Formalizing Factorization in Monoids and Noetherian Rings. [Internet] [Thesis]. California State University – San Marcos; 2015. [cited 2020 Jan 29]. Available from: http://hdl.handle.net/10211.3/139734.

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

Council of Science Editors:

Brich J. Formalizing Factorization in Monoids and Noetherian Rings. [Thesis]. California State University – San Marcos; 2015. Available from: http://hdl.handle.net/10211.3/139734

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


University of Victoria

13. Zehtabi, Sonmaz. Vibraphone transcription from noisy audio using factorization methods.

Degree: Dept. of Computer Science, 2012, University of Victoria

 This thesis presents a comparison between two factorization techniques { Probabilistic Latent Component Analysis (PLCA) and Non-Negative Least Squares (NNLSQ) { for the problem of… (more)

Subjects/Keywords: Vibraphone; Music transcription; Noisy audio; Factorization

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APA (6th Edition):

Zehtabi, S. (2012). Vibraphone transcription from noisy audio using factorization methods. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/3960

Chicago Manual of Style (16th Edition):

Zehtabi, Sonmaz. “Vibraphone transcription from noisy audio using factorization methods.” 2012. Masters Thesis, University of Victoria. Accessed January 29, 2020. http://hdl.handle.net/1828/3960.

MLA Handbook (7th Edition):

Zehtabi, Sonmaz. “Vibraphone transcription from noisy audio using factorization methods.” 2012. Web. 29 Jan 2020.

Vancouver:

Zehtabi S. Vibraphone transcription from noisy audio using factorization methods. [Internet] [Masters thesis]. University of Victoria; 2012. [cited 2020 Jan 29]. Available from: http://hdl.handle.net/1828/3960.

Council of Science Editors:

Zehtabi S. Vibraphone transcription from noisy audio using factorization methods. [Masters Thesis]. University of Victoria; 2012. Available from: http://hdl.handle.net/1828/3960


University of Tennessee – Knoxville

14. Laska, Jason A. On Conjectures Concerning Nonassociate Factorizations.

Degree: 2010, University of Tennessee – Knoxville

 We consider and solve some open conjectures on the asymptotic behavior of the number of different numbers of the nonassociate factorizations of prescribed minimal length… (more)

Subjects/Keywords: commutative algebra; non-unique factorization; Algebra

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APA (6th Edition):

Laska, J. A. (2010). On Conjectures Concerning Nonassociate Factorizations. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/818

Chicago Manual of Style (16th Edition):

Laska, Jason A. “On Conjectures Concerning Nonassociate Factorizations.” 2010. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed January 29, 2020. https://trace.tennessee.edu/utk_graddiss/818.

MLA Handbook (7th Edition):

Laska, Jason A. “On Conjectures Concerning Nonassociate Factorizations.” 2010. Web. 29 Jan 2020.

Vancouver:

Laska JA. On Conjectures Concerning Nonassociate Factorizations. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2010. [cited 2020 Jan 29]. Available from: https://trace.tennessee.edu/utk_graddiss/818.

Council of Science Editors:

Laska JA. On Conjectures Concerning Nonassociate Factorizations. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2010. Available from: https://trace.tennessee.edu/utk_graddiss/818


Montana State University

15. Lowney, William M. On the unique factorization of a non-singular matrix.

Degree: College of Letters & Science, 1954, Montana State University

Subjects/Keywords: Matrices.; Factorization (Mathematics)

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APA (6th Edition):

Lowney, W. M. (1954). On the unique factorization of a non-singular matrix. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/5636

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):

Lowney, William M. “On the unique factorization of a non-singular matrix.” 1954. Thesis, Montana State University. Accessed January 29, 2020. https://scholarworks.montana.edu/xmlui/handle/1/5636.

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

MLA Handbook (7th Edition):

Lowney, William M. “On the unique factorization of a non-singular matrix.” 1954. Web. 29 Jan 2020.

Vancouver:

Lowney WM. On the unique factorization of a non-singular matrix. [Internet] [Thesis]. Montana State University; 1954. [cited 2020 Jan 29]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/5636.

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

Council of Science Editors:

Lowney WM. On the unique factorization of a non-singular matrix. [Thesis]. Montana State University; 1954. Available from: https://scholarworks.montana.edu/xmlui/handle/1/5636

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


Wayne State University

16. Zhang, Jingwei. Multi-Way Factorization Machine For Sentiment Analysis.

Degree: MS, Computer Science, 2017, Wayne State University

  Sentiment analysis is a process of learning the relationship between sentiment label and text. The research value of sentiment analysis is two-fold: first, it… (more)

Subjects/Keywords: Factorization Machine; Sentiment analysis; Computer Sciences

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APA (6th Edition):

Zhang, J. (2017). Multi-Way Factorization Machine For Sentiment Analysis. (Masters Thesis). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_theses/599

Chicago Manual of Style (16th Edition):

Zhang, Jingwei. “Multi-Way Factorization Machine For Sentiment Analysis.” 2017. Masters Thesis, Wayne State University. Accessed January 29, 2020. https://digitalcommons.wayne.edu/oa_theses/599.

MLA Handbook (7th Edition):

Zhang, Jingwei. “Multi-Way Factorization Machine For Sentiment Analysis.” 2017. Web. 29 Jan 2020.

Vancouver:

Zhang J. Multi-Way Factorization Machine For Sentiment Analysis. [Internet] [Masters thesis]. Wayne State University; 2017. [cited 2020 Jan 29]. Available from: https://digitalcommons.wayne.edu/oa_theses/599.

Council of Science Editors:

Zhang J. Multi-Way Factorization Machine For Sentiment Analysis. [Masters Thesis]. Wayne State University; 2017. Available from: https://digitalcommons.wayne.edu/oa_theses/599


University of North Carolina – Greensboro

17. Rangel, Denise A. Elliptic curves and factoring.

Degree: 2010, University of North Carolina – Greensboro

 The Elliptic Curve Method (ECM) is a powerful and widely used algorithm for factorization which can be implemented with several different forms of elliptic curves.… (more)

Subjects/Keywords: Curves, Elliptic.; Elliptic functions.; Factorization (Mathematics)

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APA (6th Edition):

Rangel, D. A. (2010). Elliptic curves and factoring. (Masters Thesis). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=3696

Chicago Manual of Style (16th Edition):

Rangel, Denise A. “Elliptic curves and factoring.” 2010. Masters Thesis, University of North Carolina – Greensboro. Accessed January 29, 2020. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=3696.

MLA Handbook (7th Edition):

Rangel, Denise A. “Elliptic curves and factoring.” 2010. Web. 29 Jan 2020.

Vancouver:

Rangel DA. Elliptic curves and factoring. [Internet] [Masters thesis]. University of North Carolina – Greensboro; 2010. [cited 2020 Jan 29]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=3696.

Council of Science Editors:

Rangel DA. Elliptic curves and factoring. [Masters Thesis]. University of North Carolina – Greensboro; 2010. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=3696


NSYSU

18. Pan, Hsuan-Yin. A study on low-rank and high-rank revealing QR algorithms.

Degree: Master, Applied Mathematics, 2018, NSYSU

 The rank revealing problem for low rank or low nullity matrices arises widely in scientific computing, such as finding a low rank approximation to a… (more)

Subjects/Keywords: QR factorization; singular value; numerical rank

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APA (6th Edition):

Pan, H. (2018). A study on low-rank and high-rank revealing QR algorithms. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619118-103715

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):

Pan, Hsuan-Yin. “A study on low-rank and high-rank revealing QR algorithms.” 2018. Thesis, NSYSU. Accessed January 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619118-103715.

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

MLA Handbook (7th Edition):

Pan, Hsuan-Yin. “A study on low-rank and high-rank revealing QR algorithms.” 2018. Web. 29 Jan 2020.

Vancouver:

Pan H. A study on low-rank and high-rank revealing QR algorithms. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Jan 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619118-103715.

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

Council of Science Editors:

Pan H. A study on low-rank and high-rank revealing QR algorithms. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619118-103715

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


Clemson University

19. Goodell, Brandon G. Assessing Non-Atomicity in Groups of Divisibility.

Degree: PhD, Mathematical Sciences, 2017, Clemson University

  An integral domain D is atomic if every non-zero non-unit is a product of irreducibles. More generally, D is quasi-atomic if every non-zero non-unit… (more)

Subjects/Keywords: factorization; integral domains; partially ordered groups

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APA (6th Edition):

Goodell, B. G. (2017). Assessing Non-Atomicity in Groups of Divisibility. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1901

Chicago Manual of Style (16th Edition):

Goodell, Brandon G. “Assessing Non-Atomicity in Groups of Divisibility.” 2017. Doctoral Dissertation, Clemson University. Accessed January 29, 2020. https://tigerprints.clemson.edu/all_dissertations/1901.

MLA Handbook (7th Edition):

Goodell, Brandon G. “Assessing Non-Atomicity in Groups of Divisibility.” 2017. Web. 29 Jan 2020.

Vancouver:

Goodell BG. Assessing Non-Atomicity in Groups of Divisibility. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2020 Jan 29]. Available from: https://tigerprints.clemson.edu/all_dissertations/1901.

Council of Science Editors:

Goodell BG. Assessing Non-Atomicity in Groups of Divisibility. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/1901


University of New South Wales

20. 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 January 29, 2020. 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. 29 Jan 2020.

Vancouver:

Luo C. Temporal Dynamics in Recommender Systems. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2020 Jan 29]. 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 Illinois – Chicago

21. Lu, Chun-Ta. Broad Learning in Multiple Heterogeneous Domains.

Degree: 2018, University of Illinois – Chicago

 Recent years have witnessed the flourishing of heterogeneous data from various types of domains. For example, online review sites (like Amazon and Yelp) have access… (more)

Subjects/Keywords: Heterogeneous Domains; Tensor Factorization; Heterogeneous Network

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APA (6th Edition):

Lu, C. (2018). Broad Learning in Multiple Heterogeneous Domains. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23065

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):

Lu, Chun-Ta. “Broad Learning in Multiple Heterogeneous Domains.” 2018. Thesis, University of Illinois – Chicago. Accessed January 29, 2020. http://hdl.handle.net/10027/23065.

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

MLA Handbook (7th Edition):

Lu, Chun-Ta. “Broad Learning in Multiple Heterogeneous Domains.” 2018. Web. 29 Jan 2020.

Vancouver:

Lu C. Broad Learning in Multiple Heterogeneous Domains. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2020 Jan 29]. Available from: http://hdl.handle.net/10027/23065.

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

Council of Science Editors:

Lu C. Broad Learning in Multiple Heterogeneous Domains. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/23065

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


Northeastern University

22. Wang, Yueyang. New initialization strategy for nonnegative matrix factorization.

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Wang, Yueyang. “New initialization strategy for nonnegative matrix factorization.” 2018. Masters Thesis, Northeastern University. Accessed January 29, 2020. http://hdl.handle.net/2047/D20290549.

MLA Handbook (7th Edition):

Wang, Yueyang. “New initialization strategy for nonnegative matrix factorization.” 2018. Web. 29 Jan 2020.

Vancouver:

Wang Y. New initialization strategy for nonnegative matrix factorization. [Internet] [Masters thesis]. Northeastern University; 2018. [cited 2020 Jan 29]. Available from: http://hdl.handle.net/2047/D20290549.

Council of Science Editors:

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


San Jose State University

23. Vergara, Stephanie Faith. Integer Factorization Methods.

Degree: MS, Mathematics, 2011, San Jose State University

  In the past, factoring integers was thought to be of little benefit to the mathematical world. The subject of integer factorization methods is one… (more)

Subjects/Keywords: continued; elliptic; factorization; integer; lenstra; sieve

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APA (6th Edition):

Vergara, S. F. (2011). Integer Factorization Methods. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.e5yv-jqxx ; https://scholarworks.sjsu.edu/etd_theses/4115

Chicago Manual of Style (16th Edition):

Vergara, Stephanie Faith. “Integer Factorization Methods.” 2011. Masters Thesis, San Jose State University. Accessed January 29, 2020. https://doi.org/10.31979/etd.e5yv-jqxx ; https://scholarworks.sjsu.edu/etd_theses/4115.

MLA Handbook (7th Edition):

Vergara, Stephanie Faith. “Integer Factorization Methods.” 2011. Web. 29 Jan 2020.

Vancouver:

Vergara SF. Integer Factorization Methods. [Internet] [Masters thesis]. San Jose State University; 2011. [cited 2020 Jan 29]. Available from: https://doi.org/10.31979/etd.e5yv-jqxx ; https://scholarworks.sjsu.edu/etd_theses/4115.

Council of Science Editors:

Vergara SF. Integer Factorization Methods. [Masters Thesis]. San Jose State University; 2011. Available from: https://doi.org/10.31979/etd.e5yv-jqxx ; https://scholarworks.sjsu.edu/etd_theses/4115


The Ohio State University

24. Nisa, Israt. Architecture-aware Algorithm Design of Sparse Tensor/Matrix Primitives for GPUs.

Degree: PhD, Computer Science and Engineering, 2019, The Ohio State University

 Sparse matrix/tensor operations have been a common computational motif ina wide spectrum of domains - numerical linear algebra, graph analytics, machinelearning, health-care, etc. Sparse kernels… (more)

Subjects/Keywords: Computer Science; Tensor factorization, matrix factorization, High-performance computing, GPU, optimizations, parallel computing, sparse kernels

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APA (6th Edition):

Nisa, I. (2019). Architecture-aware Algorithm Design of Sparse Tensor/Matrix Primitives for GPUs. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1563183611985656

Chicago Manual of Style (16th Edition):

Nisa, Israt. “Architecture-aware Algorithm Design of Sparse Tensor/Matrix Primitives for GPUs.” 2019. Doctoral Dissertation, The Ohio State University. Accessed January 29, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563183611985656.

MLA Handbook (7th Edition):

Nisa, Israt. “Architecture-aware Algorithm Design of Sparse Tensor/Matrix Primitives for GPUs.” 2019. Web. 29 Jan 2020.

Vancouver:

Nisa I. Architecture-aware Algorithm Design of Sparse Tensor/Matrix Primitives for GPUs. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2020 Jan 29]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1563183611985656.

Council of Science Editors:

Nisa I. Architecture-aware Algorithm Design of Sparse Tensor/Matrix Primitives for GPUs. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1563183611985656


University of Technology, Sydney

25. 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 January 29, 2020. 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. 29 Jan 2020.

Vancouver:

Li F. Incorporating couplings into collaborative filtering. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2020 Jan 29]. 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


University of Alberta

26. Chen, Haolan. Separating-Plane Factorization Models: Scalable Recommendation from One-class Implicit Feedback.

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

 We study the large-scale video recommendation problem based on user viewing logs instead of explicit ratings. As viewing records are implicitly positive samples, existing matrix… (more)

Subjects/Keywords: Separating-plane; Matrix factorization; Factorization machine; Big data; Recommender system; Implicit feedback; One-class problem; Spark; Tencent

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APA (6th Edition):

Chen, H. (2016). Separating-Plane Factorization Models: Scalable Recommendation from One-class Implicit Feedback. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cb5644r77b

Chicago Manual of Style (16th Edition):

Chen, Haolan. “Separating-Plane Factorization Models: Scalable Recommendation from One-class Implicit Feedback.” 2016. Masters Thesis, University of Alberta. Accessed January 29, 2020. https://era.library.ualberta.ca/files/cb5644r77b.

MLA Handbook (7th Edition):

Chen, Haolan. “Separating-Plane Factorization Models: Scalable Recommendation from One-class Implicit Feedback.” 2016. Web. 29 Jan 2020.

Vancouver:

Chen H. Separating-Plane Factorization Models: Scalable Recommendation from One-class Implicit Feedback. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2020 Jan 29]. Available from: https://era.library.ualberta.ca/files/cb5644r77b.

Council of Science Editors:

Chen H. Separating-Plane Factorization Models: Scalable Recommendation from One-class Implicit Feedback. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cb5644r77b


University of Florida

27. Yeralan, Sencer Nuri. High Performance Computing with Sparse Matrices and GPU Accelerators.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2014, University of Florida

 Sparse matrix factorization relies on high quality fill-reducing orderings in order to limit the amount of superfluous flops and memory required to compute and store… (more)

Subjects/Keywords: Algorithms; Computer memory; Factorization; Launches; Mathematics; Matrices; Separators; Tessellations; Tiles; Vertices; fill-reducing-ordering  – gpu  – linear-algebra  – qr-factorization  – sparse-matrix

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APA (6th Edition):

Yeralan, S. N. (2014). High Performance Computing with Sparse Matrices and GPU Accelerators. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046270

Chicago Manual of Style (16th Edition):

Yeralan, Sencer Nuri. “High Performance Computing with Sparse Matrices and GPU Accelerators.” 2014. Doctoral Dissertation, University of Florida. Accessed January 29, 2020. http://ufdc.ufl.edu/UFE0046270.

MLA Handbook (7th Edition):

Yeralan, Sencer Nuri. “High Performance Computing with Sparse Matrices and GPU Accelerators.” 2014. Web. 29 Jan 2020.

Vancouver:

Yeralan SN. High Performance Computing with Sparse Matrices and GPU Accelerators. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2020 Jan 29]. Available from: http://ufdc.ufl.edu/UFE0046270.

Council of Science Editors:

Yeralan SN. High Performance Computing with Sparse Matrices and GPU Accelerators. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046270

28. Phan, Anh Huy. Algorithms for Tensor Decompositions and Applications : テンソル分解のためのアルゴリズムとその応用.

Degree: 博士(工学), 2017, Kyushu Institute of Technology / 九州工業大学

九州工業大学博士学位論文 学位記番号:生工博乙第8号 学位授与年月日:平成23年9月30日

1 Introduction|2 Alternating Least Squares Algorithm and Its Variations|3 Appropriate ALS Algorithms for NTF and NTD|4 All-at-Once Algorithms for Tensor Decompositions|5 Large-Scale Tensor Factorization|6 Simulations and Results|7 Applications for Feature Extraction and Classification|8 Conclusions

平成23年度

Advisors/Committee Members: 松岡, 清利.

Subjects/Keywords: Tensor Decomposition; nonnegative tensor factorization; Gauss-Newton; large-scale tensor factorization; Alternative least Squares(ALS); feature extraction

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APA (6th Edition):

Phan, A. H. (2017). Algorithms for Tensor Decompositions and Applications : テンソル分解のためのアルゴリズムとその応用. (Thesis). Kyushu Institute of Technology / 九州工業大学. Retrieved from http://hdl.handle.net/10228/4896

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):

Phan, Anh Huy. “Algorithms for Tensor Decompositions and Applications : テンソル分解のためのアルゴリズムとその応用.” 2017. Thesis, Kyushu Institute of Technology / 九州工業大学. Accessed January 29, 2020. http://hdl.handle.net/10228/4896.

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

MLA Handbook (7th Edition):

Phan, Anh Huy. “Algorithms for Tensor Decompositions and Applications : テンソル分解のためのアルゴリズムとその応用.” 2017. Web. 29 Jan 2020.

Vancouver:

Phan AH. Algorithms for Tensor Decompositions and Applications : テンソル分解のためのアルゴリズムとその応用. [Internet] [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. [cited 2020 Jan 29]. Available from: http://hdl.handle.net/10228/4896.

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

Council of Science Editors:

Phan AH. Algorithms for Tensor Decompositions and Applications : テンソル分解のためのアルゴリズムとその応用. [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. Available from: http://hdl.handle.net/10228/4896

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


University of Western Ontario

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

Degree: 2018, University of Western Ontario

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Feng, Boyu. “Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping.” 2018. Thesis, University of Western Ontario. Accessed January 29, 2020. https://ir.lib.uwo.ca/etd/5732.

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

MLA Handbook (7th Edition):

Feng, Boyu. “Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping.” 2018. Web. 29 Jan 2020.

Vancouver:

Feng B. Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2020 Jan 29]. Available from: https://ir.lib.uwo.ca/etd/5732.

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

Council of Science Editors:

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

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


NSYSU

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

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 January 29, 2020. 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. 29 Jan 2020.

Vancouver:

Yang W. Topic Evolution Discovery based on Regularized Matrix Factorization. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Jan 29]. 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

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