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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

URL: http://hdl.handle.net/10657/3186

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://hdl.handle.net/1969.1/153210

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1928/24336

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10061/2051

Subjects/Keywords: factorization; orthogonalization

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10192/31073

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/11299/206375

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2152/26580

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://dx.doi.org/10.26153/tsw/5789

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2152/62065

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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.

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

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

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Mosesov, Artem. “Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization.” 2014. Masters Thesis, University of Minnesota. Accessed January 29, 2020. http://hdl.handle.net/11299/173949.

MLA Handbook (7^{th} Edition):

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

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Degree: 2015, California State University – San Marcos

URL: http://hdl.handle.net/10211.3/139734

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1828/3960

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://trace.tennessee.edu/utk_graddiss/818

► 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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarworks.montana.edu/xmlui/handle/1/5636

Subjects/Keywords: Matrices.; Factorization (Mathematics)

Record Details Similar Records

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APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://digitalcommons.wayne.edu/oa_theses/599

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=3696

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619118-103715

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://tigerprints.clemson.edu/all_dissertations/1901

► 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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://handle.unsw.edu.au/1959.4/55939 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39683/SOURCE02?view=true

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10027/23065

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

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

MLA Handbook (7^{th} 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

URL: https://doi.org/10.31979/etd.e5yv-jqxx ; https://scholarworks.sjsu.edu/etd_theses/4115

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1563183611985656

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10453/44174

► 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).

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Li, Fangfang. “Incorporating couplings into collaborative filtering.” 2016. Thesis, University of Technology, Sydney. Accessed January 29, 2020. http://hdl.handle.net/10453/44174.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://era.library.ualberta.ca/files/cb5644r77b

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0046270

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10228/4896

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

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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

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

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

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

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

30.
Yang, Wan-Chen.
Topic Evolution Discovery based on Regularized Matrix * Factorization*.

Degree: Master, Information Management, 2018, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation