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You searched for subject:(similarity matrix). Showing records 1 – 24 of 24 total matches.

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NSYSU

1. Liu, Cheng-Chih. Structure Analysis and Emotion Recognition of Digital Popular Music.

Degree: Master, Electrical Engineering, 2013, NSYSU

 In this thesis, the proposed schemes are designed to analysis the music structure and recognize the emotion of popular music. Series of procedure are arranged… (more)

Subjects/Keywords: ada-boost; music structure; music emotion recognition; similarity matrix

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

APA (6th Edition):

Liu, C. (2013). Structure Analysis and Emotion Recognition of Digital Popular Music. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0205113-112114

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):

Liu, Cheng-Chih. “Structure Analysis and Emotion Recognition of Digital Popular Music.” 2013. Thesis, NSYSU. Accessed November 27, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0205113-112114.

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

MLA Handbook (7th Edition):

Liu, Cheng-Chih. “Structure Analysis and Emotion Recognition of Digital Popular Music.” 2013. Web. 27 Nov 2020.

Vancouver:

Liu C. Structure Analysis and Emotion Recognition of Digital Popular Music. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Nov 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0205113-112114.

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

Council of Science Editors:

Liu C. Structure Analysis and Emotion Recognition of Digital Popular Music. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0205113-112114

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


University of Waterloo

2. Soundar Raja James, Robin Joe Prabhahar. A Methodology for Reliable Detection of Anomalous Behavior in Smartphones.

Degree: 2018, University of Waterloo

 Smartphones have become the most preferred computing device for both personal and business use. Different applications in smartphones result in different power consumption patterns. The… (more)

Subjects/Keywords: Anomaly Detection; smartphone; power signature; Independent component Analysis; Similarity Matrix

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APA (6th Edition):

Soundar Raja James, R. J. P. (2018). A Methodology for Reliable Detection of Anomalous Behavior in Smartphones. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12914

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):

Soundar Raja James, Robin Joe Prabhahar. “A Methodology for Reliable Detection of Anomalous Behavior in Smartphones.” 2018. Thesis, University of Waterloo. Accessed November 27, 2020. http://hdl.handle.net/10012/12914.

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

MLA Handbook (7th Edition):

Soundar Raja James, Robin Joe Prabhahar. “A Methodology for Reliable Detection of Anomalous Behavior in Smartphones.” 2018. Web. 27 Nov 2020.

Vancouver:

Soundar Raja James RJP. A Methodology for Reliable Detection of Anomalous Behavior in Smartphones. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/10012/12914.

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

Council of Science Editors:

Soundar Raja James RJP. A Methodology for Reliable Detection of Anomalous Behavior in Smartphones. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/12914

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

3. Veguru, Venkata Raja Vamsi Sankar. Navigation in collection of Photos.

Degree: 2011, , School of Engineering

  We present a methodology to navigate viewing of a city block or any realistic outdoor structure by collection of images. The methodology implement intuitive… (more)

Subjects/Keywords: SIFT; RANSAC; Fundamental Matrix; Navigation; Automatic Image Similarity Measure; 3D Controls

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APA (6th Edition):

Veguru, V. R. V. S. (2011). Navigation in collection of Photos. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2449

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):

Veguru, Venkata Raja Vamsi Sankar. “Navigation in collection of Photos.” 2011. Thesis, , School of Engineering. Accessed November 27, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2449.

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

MLA Handbook (7th Edition):

Veguru, Venkata Raja Vamsi Sankar. “Navigation in collection of Photos.” 2011. Web. 27 Nov 2020.

Vancouver:

Veguru VRVS. Navigation in collection of Photos. [Internet] [Thesis]. , School of Engineering; 2011. [cited 2020 Nov 27]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2449.

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

Council of Science Editors:

Veguru VRVS. Navigation in collection of Photos. [Thesis]. , School of Engineering; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2449

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


University of South Africa

4. Hattingh, Christiaan Johannes. Sums and products of square-zero matrices .

Degree: 2018, University of South Africa

 Which matrices can be written as sums or products of square-zero matrices? This question is the central premise of this dissertation. Over the past 25… (more)

Subjects/Keywords: Nilpotent matrix; Quadratic matrix; Square-zero matrix; Matrix division; Matrix factorization; Sum decomposition; Rational canonical form; Smith canonical form; Invariant factors; Companion matrix; Nonderogatory matrix; Matrix similarity; Matrix trace; Field; Field characteristic; Algebraic closure; Matrix polynomial

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APA (6th Edition):

Hattingh, C. J. (2018). Sums and products of square-zero matrices . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/24519

Chicago Manual of Style (16th Edition):

Hattingh, Christiaan Johannes. “Sums and products of square-zero matrices .” 2018. Masters Thesis, University of South Africa. Accessed November 27, 2020. http://hdl.handle.net/10500/24519.

MLA Handbook (7th Edition):

Hattingh, Christiaan Johannes. “Sums and products of square-zero matrices .” 2018. Web. 27 Nov 2020.

Vancouver:

Hattingh CJ. Sums and products of square-zero matrices . [Internet] [Masters thesis]. University of South Africa; 2018. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/10500/24519.

Council of Science Editors:

Hattingh CJ. Sums and products of square-zero matrices . [Masters Thesis]. University of South Africa; 2018. Available from: http://hdl.handle.net/10500/24519


University of California – Santa Cruz

5. Biswas, Sujoy Kumar. Robust Detection with Local Steering Kernel: Maximum Margin Matrix Cosine Similarity and Beyond.

Degree: Electrical Engineering, 2016, University of California – Santa Cruz

 An important lesson of two decades of research in object detection comes from the success of mid-level attributes like filters or templates. Histogram of Oriented… (more)

Subjects/Keywords: Computer science; Computer engineering; infrared thermal images; local steering kernel; matrix cosine similarity; maximum margin; object detection; pedestrian detection

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

APA (6th Edition):

Biswas, S. K. (2016). Robust Detection with Local Steering Kernel: Maximum Margin Matrix Cosine Similarity and Beyond. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/75v221p8

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):

Biswas, Sujoy Kumar. “Robust Detection with Local Steering Kernel: Maximum Margin Matrix Cosine Similarity and Beyond.” 2016. Thesis, University of California – Santa Cruz. Accessed November 27, 2020. http://www.escholarship.org/uc/item/75v221p8.

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

MLA Handbook (7th Edition):

Biswas, Sujoy Kumar. “Robust Detection with Local Steering Kernel: Maximum Margin Matrix Cosine Similarity and Beyond.” 2016. Web. 27 Nov 2020.

Vancouver:

Biswas SK. Robust Detection with Local Steering Kernel: Maximum Margin Matrix Cosine Similarity and Beyond. [Internet] [Thesis]. University of California – Santa Cruz; 2016. [cited 2020 Nov 27]. Available from: http://www.escholarship.org/uc/item/75v221p8.

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

Council of Science Editors:

Biswas SK. Robust Detection with Local Steering Kernel: Maximum Margin Matrix Cosine Similarity and Beyond. [Thesis]. University of California – Santa Cruz; 2016. Available from: http://www.escholarship.org/uc/item/75v221p8

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


Brno University of Technology

6. Bárta, Jakub. Shlukování slov podle významu: Word Sense Clustering.

Degree: 2020, Brno University of Technology

This bachelor's thesis deals with the design and implementation of a modular system focused on semantic similarity. System is able to stem the corpus and to analyze corpus in different ways - through coocurrence matrix or LSA. Advisors/Committee Members: Smrž, Pavel (advisor), Otrusina, Lubomír (referee).

Subjects/Keywords: přirozené zpracování jazyka; sémantická podobnost; gensim; LSA; matice spoluvýskytu; natural language processing; semantic similarity; gensim; LSA; coocurrence matrix}

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

APA (6th Edition):

Bárta, J. (2020). Shlukování slov podle významu: Word Sense Clustering. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189702

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):

Bárta, Jakub. “Shlukování slov podle významu: Word Sense Clustering.” 2020. Thesis, Brno University of Technology. Accessed November 27, 2020. http://hdl.handle.net/11012/189702.

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

MLA Handbook (7th Edition):

Bárta, Jakub. “Shlukování slov podle významu: Word Sense Clustering.” 2020. Web. 27 Nov 2020.

Vancouver:

Bárta J. Shlukování slov podle významu: Word Sense Clustering. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11012/189702.

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

Council of Science Editors:

Bárta J. Shlukování slov podle významu: Word Sense Clustering. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189702

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


Universidade Nova

7. Baptista, Maria Helena Miranda Flores. A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping.

Degree: 2016, Universidade Nova

 Conditionally specified Gaussian Markov random field (GMRF) models with adjacency- or distance-based neighbourhood weight matrix, commonly known as neighbourhood- based GMRF models, have been the… (more)

Subjects/Keywords: Neigbourhood matrix; NGMRF and GRF models; Similarity-based smoothing; Besag-York-Mollié model (BYM) model; DM; Alcohol Abuse Disorder (AAD)

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APA (6th Edition):

Baptista, M. H. M. F. (2016). A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/19240

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):

Baptista, Maria Helena Miranda Flores. “A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping.” 2016. Thesis, Universidade Nova. Accessed November 27, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/19240.

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

MLA Handbook (7th Edition):

Baptista, Maria Helena Miranda Flores. “A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping.” 2016. Web. 27 Nov 2020.

Vancouver:

Baptista MHMF. A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping. [Internet] [Thesis]. Universidade Nova; 2016. [cited 2020 Nov 27]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/19240.

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

Council of Science Editors:

Baptista MHMF. A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping. [Thesis]. Universidade Nova; 2016. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/19240

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


University of California – Santa Cruz

8. Kheradmand, Amin. Graph-based Image Restoration.

Degree: Electrical Engineering, 2016, University of California – Santa Cruz

 Digital photography has experienced great progress during the past decade. A lot of people are recording their moments via digital hand-held cameras. Pictures taken with… (more)

Subjects/Keywords: Electrical engineering; graph Laplacian regularization; Image deblurring; Image denoising; Image restoration; Image sharpening; kernel similarity matrix

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APA (6th Edition):

Kheradmand, A. (2016). Graph-based Image Restoration. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/2f511492

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):

Kheradmand, Amin. “Graph-based Image Restoration.” 2016. Thesis, University of California – Santa Cruz. Accessed November 27, 2020. http://www.escholarship.org/uc/item/2f511492.

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

MLA Handbook (7th Edition):

Kheradmand, Amin. “Graph-based Image Restoration.” 2016. Web. 27 Nov 2020.

Vancouver:

Kheradmand A. Graph-based Image Restoration. [Internet] [Thesis]. University of California – Santa Cruz; 2016. [cited 2020 Nov 27]. Available from: http://www.escholarship.org/uc/item/2f511492.

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

Council of Science Editors:

Kheradmand A. Graph-based Image Restoration. [Thesis]. University of California – Santa Cruz; 2016. Available from: http://www.escholarship.org/uc/item/2f511492

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


Brno University of Technology

9. Vogel, Ivan. Analýza dat z DNA čipů: Microarray Data Analysis.

Degree: 2018, Brno University of Technology

 The aim of this bachelor thesis is to describe the DNA microarray technology. Several analytical algorithms are discussed. It describes closely the clustering methods, especially… (more)

Subjects/Keywords: hybridizácia; DNA čip; zhlukovanie; dendrogram; matica podobností; korelačný koeficient; hybridisation; DNA microarray; clustering; dendrogram; similarity matrix; correlation coefficient

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APA (6th Edition):

Vogel, I. (2018). Analýza dat z DNA čipů: Microarray Data Analysis. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55365

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):

Vogel, Ivan. “Analýza dat z DNA čipů: Microarray Data Analysis.” 2018. Thesis, Brno University of Technology. Accessed November 27, 2020. http://hdl.handle.net/11012/55365.

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

MLA Handbook (7th Edition):

Vogel, Ivan. “Analýza dat z DNA čipů: Microarray Data Analysis.” 2018. Web. 27 Nov 2020.

Vancouver:

Vogel I. Analýza dat z DNA čipů: Microarray Data Analysis. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11012/55365.

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

Council of Science Editors:

Vogel I. Analýza dat z DNA čipů: Microarray Data Analysis. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/55365

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


Brno University of Technology

10. Bárta, Jakub. Shlukování slov podle významu: Word Sense Clustering.

Degree: 2019, Brno University of Technology

This bachelor's thesis deals with the design and implementation of a modular system focused on semantic similarity. System is able to stem the corpus and to analyze corpus in different ways - through coocurrence matrix or LSA. Advisors/Committee Members: Smrž, Pavel (advisor), Otrusina, Lubomír (referee).

Subjects/Keywords: přirozené zpracování jazyka; sémantická podobnost; gensim; LSA; matice spoluvýskytu; natural language processing; semantic similarity; gensim; LSA; coocurrence matrix}

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APA (6th Edition):

Bárta, J. (2019). Shlukování slov podle významu: Word Sense Clustering. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55338

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):

Bárta, Jakub. “Shlukování slov podle významu: Word Sense Clustering.” 2019. Thesis, Brno University of Technology. Accessed November 27, 2020. http://hdl.handle.net/11012/55338.

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

MLA Handbook (7th Edition):

Bárta, Jakub. “Shlukování slov podle významu: Word Sense Clustering.” 2019. Web. 27 Nov 2020.

Vancouver:

Bárta J. Shlukování slov podle významu: Word Sense Clustering. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11012/55338.

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

Council of Science Editors:

Bárta J. Shlukování slov podle významu: Word Sense Clustering. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55338

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


Brno University of Technology

11. Bárta, Jakub. Shlukování slov podle významu: Word Sense Clustering.

Degree: 2020, Brno University of Technology

This bachelor's thesis deals with the design and implementation of a modular system focused on semantic similarity. System is able to stem the corpus and to analyze corpus in different ways - through coocurrence matrix or LSA. Advisors/Committee Members: Smrž, Pavel (advisor), Otrusina, Lubomír (referee).

Subjects/Keywords: přirozené zpracování jazyka; sémantická podobnost; gensim; LSA; matice spoluvýskytu; natural language processing; semantic similarity; gensim; LSA; coocurrence matrix}

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

APA (6th Edition):

Bárta, J. (2020). Shlukování slov podle významu: Word Sense Clustering. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188305

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):

Bárta, Jakub. “Shlukování slov podle významu: Word Sense Clustering.” 2020. Thesis, Brno University of Technology. Accessed November 27, 2020. http://hdl.handle.net/11012/188305.

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

MLA Handbook (7th Edition):

Bárta, Jakub. “Shlukování slov podle významu: Word Sense Clustering.” 2020. Web. 27 Nov 2020.

Vancouver:

Bárta J. Shlukování slov podle významu: Word Sense Clustering. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11012/188305.

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

Council of Science Editors:

Bárta J. Shlukování slov podle významu: Word Sense Clustering. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188305

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


University of Melbourne

12. HE, JIZHENG. Machine learning for feedback in massive open online courses.

Degree: 2016, University of Melbourne

 Massive Open Online Courses (MOOCs) have received widespread attention for their potential to scale higher education, with multiple platforms such as Coursera, edX and Udacity… (more)

Subjects/Keywords: machine learning; topic modelling; matrix factorisation; logistic regression; MOOCs; psychometrics; item response theory; rasch model; similarity search; heterogeneous information network

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

APA (6th Edition):

HE, J. (2016). Machine learning for feedback in massive open online courses. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/130112

Chicago Manual of Style (16th Edition):

HE, JIZHENG. “Machine learning for feedback in massive open online courses.” 2016. Doctoral Dissertation, University of Melbourne. Accessed November 27, 2020. http://hdl.handle.net/11343/130112.

MLA Handbook (7th Edition):

HE, JIZHENG. “Machine learning for feedback in massive open online courses.” 2016. Web. 27 Nov 2020.

Vancouver:

HE J. Machine learning for feedback in massive open online courses. [Internet] [Doctoral dissertation]. University of Melbourne; 2016. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11343/130112.

Council of Science Editors:

HE J. Machine learning for feedback in massive open online courses. [Doctoral Dissertation]. University of Melbourne; 2016. Available from: http://hdl.handle.net/11343/130112


Massey University

13. Zhou, Jukai. Research on adjacent matrix for K-means clustering.

Degree: Master of Computer Science, School of Natural and Computational Sciences, 2019, Massey University

 Machine learning is playing a vital role in our modern world. Depending on whether the data has labels or not, machine learning mainly contains three… (more)

Subjects/Keywords: Cluster analysis; Data processing; Computer algorithms; Machine learning; k-means clustering; similarity measurement; adjacent matrix; unsupervised learning

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APA (6th Edition):

Zhou, J. (2019). Research on adjacent matrix for K-means clustering. (Masters Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/15421

Chicago Manual of Style (16th Edition):

Zhou, Jukai. “Research on adjacent matrix for K-means clustering.” 2019. Masters Thesis, Massey University. Accessed November 27, 2020. http://hdl.handle.net/10179/15421.

MLA Handbook (7th Edition):

Zhou, Jukai. “Research on adjacent matrix for K-means clustering.” 2019. Web. 27 Nov 2020.

Vancouver:

Zhou J. Research on adjacent matrix for K-means clustering. [Internet] [Masters thesis]. Massey University; 2019. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/10179/15421.

Council of Science Editors:

Zhou J. Research on adjacent matrix for K-means clustering. [Masters Thesis]. Massey University; 2019. Available from: http://hdl.handle.net/10179/15421


Penn State University

14. Hong, Yoojin. A Computational Framework For Inferring Structure, Function, and Evolution of Proteins.

Degree: 2010, Penn State University

 There are an overwhelming number of protein sequences without structure or function annotation in the post-genomic era. To facilitate protein annotation, we created a new… (more)

Subjects/Keywords: Proteins; Sequence Alignments; Twilight zone of Sequence Similarity; Position Specific Scoring Matrix

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APA (6th Edition):

Hong, Y. (2010). A Computational Framework For Inferring Structure, Function, and Evolution of Proteins. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11394

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):

Hong, Yoojin. “A Computational Framework For Inferring Structure, Function, and Evolution of Proteins.” 2010. Thesis, Penn State University. Accessed November 27, 2020. https://submit-etda.libraries.psu.edu/catalog/11394.

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

MLA Handbook (7th Edition):

Hong, Yoojin. “A Computational Framework For Inferring Structure, Function, and Evolution of Proteins.” 2010. Web. 27 Nov 2020.

Vancouver:

Hong Y. A Computational Framework For Inferring Structure, Function, and Evolution of Proteins. [Internet] [Thesis]. Penn State University; 2010. [cited 2020 Nov 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/11394.

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

Council of Science Editors:

Hong Y. A Computational Framework For Inferring Structure, Function, and Evolution of Proteins. [Thesis]. Penn State University; 2010. Available from: https://submit-etda.libraries.psu.edu/catalog/11394

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


East Tennessee State University

15. Masum, Mohammad. Vertex Weighted Spectral Clustering.

Degree: MS, Mathematical Sciences, 2017, East Tennessee State University

  Spectral clustering is often used to partition a data set into a specified number of clusters. Both the unweighted and the vertex-weighted approaches use… (more)

Subjects/Keywords: Fiedler vector; Laplacian matrix; cosine similarity based clustering; unassociated data; vertex weighted graph; vector valued graph; Discrete Mathematics and Combinatorics; Other Mathematics; Theory and Algorithms

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APA (6th Edition):

Masum, M. (2017). Vertex Weighted Spectral Clustering. (Masters Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/3266

Chicago Manual of Style (16th Edition):

Masum, Mohammad. “Vertex Weighted Spectral Clustering.” 2017. Masters Thesis, East Tennessee State University. Accessed November 27, 2020. https://dc.etsu.edu/etd/3266.

MLA Handbook (7th Edition):

Masum, Mohammad. “Vertex Weighted Spectral Clustering.” 2017. Web. 27 Nov 2020.

Vancouver:

Masum M. Vertex Weighted Spectral Clustering. [Internet] [Masters thesis]. East Tennessee State University; 2017. [cited 2020 Nov 27]. Available from: https://dc.etsu.edu/etd/3266.

Council of Science Editors:

Masum M. Vertex Weighted Spectral Clustering. [Masters Thesis]. East Tennessee State University; 2017. Available from: https://dc.etsu.edu/etd/3266


University of New South Wales

16. Nasiruzzaman, A. B. M. Novel Approach for Analyzing Interconnected Power Systems Using Complex Network Theory.

Degree: Engineering & Information Technology, 2013, University of New South Wales

 The first contribution of this dissertation is the use of complex network theory for the vulnerability analysis of power systems, taking into considerations various electrical… (more)

Subjects/Keywords: complex network; power grid; vulnerability; centrality; rank similarity; electrical betweenness; electrical closeness; bus dependency matrix; small-world network; scale-free network; random network

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

APA (6th Edition):

Nasiruzzaman, A. B. M. (2013). Novel Approach for Analyzing Interconnected Power Systems Using Complex Network Theory. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53152 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11838/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Nasiruzzaman, A B M. “Novel Approach for Analyzing Interconnected Power Systems Using Complex Network Theory.” 2013. Doctoral Dissertation, University of New South Wales. Accessed November 27, 2020. http://handle.unsw.edu.au/1959.4/53152 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11838/SOURCE01?view=true.

MLA Handbook (7th Edition):

Nasiruzzaman, A B M. “Novel Approach for Analyzing Interconnected Power Systems Using Complex Network Theory.” 2013. Web. 27 Nov 2020.

Vancouver:

Nasiruzzaman ABM. Novel Approach for Analyzing Interconnected Power Systems Using Complex Network Theory. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2020 Nov 27]. Available from: http://handle.unsw.edu.au/1959.4/53152 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11838/SOURCE01?view=true.

Council of Science Editors:

Nasiruzzaman ABM. Novel Approach for Analyzing Interconnected Power Systems Using Complex Network Theory. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/53152 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11838/SOURCE01?view=true

17. Thanthiriwatte, Chamali Lankara. A METHOD FOR INTEGRATING HETEROGENEOUS DATASETS BASED ON GO TERM SIMILARITY.

Degree: MS, Computer Science and Engineering, 2009, Mississippi State University

  This thesis presents a method for integrating heterogeneous gene/protein datasets at the functional level based on Gene Ontology term similarity. Often biologists want to… (more)

Subjects/Keywords: Functional Annotations; Similarity Matrix; Transcriptomics; Hierarchical Clustering; Gene Ontology; Proteomics; Semantic Similarity; Gene Expression; Protein Expression

…OF TABLES 3.1 Gene similarity matrix for Arabidopsis data set 1… …30 3.2 Gene similarity matrix for Arabidopsis data set 2 . . . . . . . . . . . . . . . 31… …3.3 Gene similarity matrix for combined datasets . . . . . . . . . . . . . . . . . 32 3.4… …2.3 Functional level mappings . . . . . . . . . . . . . . . . . 2.4 Computing the similarity… …sets by constructing functional similarity matrices and applying a clustering algorithm. For… 

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

APA (6th Edition):

Thanthiriwatte, C. L. (2009). A METHOD FOR INTEGRATING HETEROGENEOUS DATASETS BASED ON GO TERM SIMILARITY. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07312009-133904/ ;

Chicago Manual of Style (16th Edition):

Thanthiriwatte, Chamali Lankara. “A METHOD FOR INTEGRATING HETEROGENEOUS DATASETS BASED ON GO TERM SIMILARITY.” 2009. Masters Thesis, Mississippi State University. Accessed November 27, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07312009-133904/ ;.

MLA Handbook (7th Edition):

Thanthiriwatte, Chamali Lankara. “A METHOD FOR INTEGRATING HETEROGENEOUS DATASETS BASED ON GO TERM SIMILARITY.” 2009. Web. 27 Nov 2020.

Vancouver:

Thanthiriwatte CL. A METHOD FOR INTEGRATING HETEROGENEOUS DATASETS BASED ON GO TERM SIMILARITY. [Internet] [Masters thesis]. Mississippi State University; 2009. [cited 2020 Nov 27]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07312009-133904/ ;.

Council of Science Editors:

Thanthiriwatte CL. A METHOD FOR INTEGRATING HETEROGENEOUS DATASETS BASED ON GO TERM SIMILARITY. [Masters Thesis]. Mississippi State University; 2009. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07312009-133904/ ;

18. Marco Túlio Faissol Tannús. Comparação de técnicas para a determinação de semelhança entre imagens digitais.

Degree: 2008, Federal University of Uberlândia

A recuperação de imagens semelhantes em bancos de dados é um campo de pesquisa amplo, complexo e que apresenta grande demanda por aplicativos que apresentem… (more)

Subjects/Keywords: Semelhança; Histograma; MPEG-7; Matriz de confusão; Taxa média de retorno modificada e normalizada; ENGENHARIA ELETRICA; Processamento de imagens - Técnicas digitais; Banco de dados; Similarity; Histogram; MPEG-7; Confusion matrix; Average normalized modified retrieval rate

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APA (6th Edition):

Tannús, M. T. F. (2008). Comparação de técnicas para a determinação de semelhança entre imagens digitais. (Thesis). Federal University of Uberlândia. Retrieved from http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2157 ; http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2158

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):

Tannús, Marco Túlio Faissol. “Comparação de técnicas para a determinação de semelhança entre imagens digitais.” 2008. Thesis, Federal University of Uberlândia. Accessed November 27, 2020. http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2157 ; http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2158.

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

MLA Handbook (7th Edition):

Tannús, Marco Túlio Faissol. “Comparação de técnicas para a determinação de semelhança entre imagens digitais.” 2008. Web. 27 Nov 2020.

Vancouver:

Tannús MTF. Comparação de técnicas para a determinação de semelhança entre imagens digitais. [Internet] [Thesis]. Federal University of Uberlândia; 2008. [cited 2020 Nov 27]. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2157 ; http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2158.

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

Council of Science Editors:

Tannús MTF. Comparação de técnicas para a determinação de semelhança entre imagens digitais. [Thesis]. Federal University of Uberlândia; 2008. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2157 ; http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2158

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


Brunel University

19. Lazarevic, Ljubica. Improving the efficiency and accuracy of nocturnal bird Surveys through equipment selection and partial automation.

Degree: PhD, 2010, Brunel University

 Birds are a key environmental asset and this is recognised through comprehensive legislation and policy ensuring their protection and conservation. Many species are active at… (more)

Subjects/Keywords: 526.9; Nocturnal Bird Surveys; Surveillance; Infrared; Bird Classification; Cyclic Motion Detection; Similarity Matrix; Singular Value Decomposition; Time Lapse; Motion Detection

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

APA (6th Edition):

Lazarevic, L. (2010). Improving the efficiency and accuracy of nocturnal bird Surveys through equipment selection and partial automation. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/4155 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508805

Chicago Manual of Style (16th Edition):

Lazarevic, Ljubica. “Improving the efficiency and accuracy of nocturnal bird Surveys through equipment selection and partial automation.” 2010. Doctoral Dissertation, Brunel University. Accessed November 27, 2020. http://bura.brunel.ac.uk/handle/2438/4155 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508805.

MLA Handbook (7th Edition):

Lazarevic, Ljubica. “Improving the efficiency and accuracy of nocturnal bird Surveys through equipment selection and partial automation.” 2010. Web. 27 Nov 2020.

Vancouver:

Lazarevic L. Improving the efficiency and accuracy of nocturnal bird Surveys through equipment selection and partial automation. [Internet] [Doctoral dissertation]. Brunel University; 2010. [cited 2020 Nov 27]. Available from: http://bura.brunel.ac.uk/handle/2438/4155 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508805.

Council of Science Editors:

Lazarevic L. Improving the efficiency and accuracy of nocturnal bird Surveys through equipment selection and partial automation. [Doctoral Dissertation]. Brunel University; 2010. Available from: http://bura.brunel.ac.uk/handle/2438/4155 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508805

20. Nader, Rafic. A study concerning the positive semi-definite property for similarity matrices and for doubly stochastic matrices with some applications : Une étude concernant la propriété semi-définie positive des matrices de similarité et des matrices doublement stochastiques avec certaines applications.

Degree: Docteur es, Informatique, 2019, Normandie; Université libanaise

La théorie des matrices s'est développée rapidement au cours des dernières décennies en raison de son large éventail d'applications et de ses nombreux liens avec… (more)

Subjects/Keywords: Distance et dissimilarité; Racines d'une matrice; Le problème inverse des valeurs propres; Spectre de Suleimanova; Similarity matrices; Positive semi-definite matrices; Distance and dissimilarity; Machine learning applications; Doubly stochastic matrices; Matrix roots; Inverse eigenvalue problem; Normalised Suleimanova spectra

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

APA (6th Edition):

Nader, R. (2019). A study concerning the positive semi-definite property for similarity matrices and for doubly stochastic matrices with some applications : Une étude concernant la propriété semi-définie positive des matrices de similarité et des matrices doublement stochastiques avec certaines applications. (Doctoral Dissertation). Normandie; Université libanaise. Retrieved from http://www.theses.fr/2019NORMC210

Chicago Manual of Style (16th Edition):

Nader, Rafic. “A study concerning the positive semi-definite property for similarity matrices and for doubly stochastic matrices with some applications : Une étude concernant la propriété semi-définie positive des matrices de similarité et des matrices doublement stochastiques avec certaines applications.” 2019. Doctoral Dissertation, Normandie; Université libanaise. Accessed November 27, 2020. http://www.theses.fr/2019NORMC210.

MLA Handbook (7th Edition):

Nader, Rafic. “A study concerning the positive semi-definite property for similarity matrices and for doubly stochastic matrices with some applications : Une étude concernant la propriété semi-définie positive des matrices de similarité et des matrices doublement stochastiques avec certaines applications.” 2019. Web. 27 Nov 2020.

Vancouver:

Nader R. A study concerning the positive semi-definite property for similarity matrices and for doubly stochastic matrices with some applications : Une étude concernant la propriété semi-définie positive des matrices de similarité et des matrices doublement stochastiques avec certaines applications. [Internet] [Doctoral dissertation]. Normandie; Université libanaise; 2019. [cited 2020 Nov 27]. Available from: http://www.theses.fr/2019NORMC210.

Council of Science Editors:

Nader R. A study concerning the positive semi-definite property for similarity matrices and for doubly stochastic matrices with some applications : Une étude concernant la propriété semi-définie positive des matrices de similarité et des matrices doublement stochastiques avec certaines applications. [Doctoral Dissertation]. Normandie; Université libanaise; 2019. Available from: http://www.theses.fr/2019NORMC210


Brno University of Technology

21. Tesař, Martin. Fraktály a jejich aplikace v počítačové grafice: Fractals and Their Applications in Computer Graphics.

Degree: 2019, Brno University of Technology

 First part of this bachelors thesis consists of fractal theory, Hausdorff dimension and their applications in computer graphics. In second part is choosen idea for… (more)

Subjects/Keywords: Fraktál; soběpodobnost; Hausdorffova dimenze; systémy iterovaných funkcí; flame fractal; interaktivní tvorba fraktálů; transformační matice; konvoluce; supersampling; Fractal; self-similarity; Hausdorff dimension; iterated function system; flame fractal; interactive fractal creation; transformation matrix; convolution; supersampling

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APA (6th Edition):

Tesař, M. (2019). Fraktály a jejich aplikace v počítačové grafice: Fractals and Their Applications in Computer Graphics. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54674

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):

Tesař, Martin. “Fraktály a jejich aplikace v počítačové grafice: Fractals and Their Applications in Computer Graphics.” 2019. Thesis, Brno University of Technology. Accessed November 27, 2020. http://hdl.handle.net/11012/54674.

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

MLA Handbook (7th Edition):

Tesař, Martin. “Fraktály a jejich aplikace v počítačové grafice: Fractals and Their Applications in Computer Graphics.” 2019. Web. 27 Nov 2020.

Vancouver:

Tesař M. Fraktály a jejich aplikace v počítačové grafice: Fractals and Their Applications in Computer Graphics. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11012/54674.

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

Council of Science Editors:

Tesař M. Fraktály a jejich aplikace v počítačové grafice: Fractals and Their Applications in Computer Graphics. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54674

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

22. Lê, Thu Trang. Extraction d'informations de changement à partir des séries temporelles d'images radar à synthèse d'ouverture : Change information extraction from Synthetic Aperture Radar Image Time Series.

Degree: Docteur es, Sciences et techniques de l'information et de la communication, traitement de l’information, 2015, Université Grenoble Alpes (ComUE)

La réussite du lancement d'un grand nombre des satellites Radar à Synthèse d'Ouverture (RSO - SAR) de nouvelle génération a fourni régulièrement des images SAR… (more)

Subjects/Keywords: Série temporelle d'image SAR; Matrice de détection de changement; Filtrage multitemporel; Analyse de changement; Indice de dynamicité de changement; Test croisé de similarité; SAR image time series; Change detection matrix; Multitemporal filtering; Change analysis; Index of change dynamics; Similarity cross test; 621.3

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APA (6th Edition):

Lê, T. T. (2015). Extraction d'informations de changement à partir des séries temporelles d'images radar à synthèse d'ouverture : Change information extraction from Synthetic Aperture Radar Image Time Series. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2015GREAA020

Chicago Manual of Style (16th Edition):

Lê, Thu Trang. “Extraction d'informations de changement à partir des séries temporelles d'images radar à synthèse d'ouverture : Change information extraction from Synthetic Aperture Radar Image Time Series.” 2015. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed November 27, 2020. http://www.theses.fr/2015GREAA020.

MLA Handbook (7th Edition):

Lê, Thu Trang. “Extraction d'informations de changement à partir des séries temporelles d'images radar à synthèse d'ouverture : Change information extraction from Synthetic Aperture Radar Image Time Series.” 2015. Web. 27 Nov 2020.

Vancouver:

Lê TT. Extraction d'informations de changement à partir des séries temporelles d'images radar à synthèse d'ouverture : Change information extraction from Synthetic Aperture Radar Image Time Series. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2015. [cited 2020 Nov 27]. Available from: http://www.theses.fr/2015GREAA020.

Council of Science Editors:

Lê TT. Extraction d'informations de changement à partir des séries temporelles d'images radar à synthèse d'ouverture : Change information extraction from Synthetic Aperture Radar Image Time Series. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2015. Available from: http://www.theses.fr/2015GREAA020


Indian Institute of Science

23. Harikrishna, V J. An Algorithmic Approach To Some Matrix Equivalence Problems.

Degree: PhD, Faculty of Engineering, 2010, Indian Institute of Science

 The analysis of similarity of matrices over fields, as well as integral domains which are not fields, is a classical problem in Linear Algebra and… (more)

Subjects/Keywords: Elecrical Engineering - Data Processing; Algorithms; Matrices; Unitary Equivalence Problems; Hermitian Matrices; Matrices - Unitary Similarity Problem - Algorithms; Matrices - Unitary Equivalence Problem - Algorithms; Matrix Equivalence Problems; Electrical Engineering

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

APA (6th Edition):

Harikrishna, V. J. (2010). An Algorithmic Approach To Some Matrix Equivalence Problems. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/719

Chicago Manual of Style (16th Edition):

Harikrishna, V J. “An Algorithmic Approach To Some Matrix Equivalence Problems.” 2010. Doctoral Dissertation, Indian Institute of Science. Accessed November 27, 2020. http://etd.iisc.ac.in/handle/2005/719.

MLA Handbook (7th Edition):

Harikrishna, V J. “An Algorithmic Approach To Some Matrix Equivalence Problems.” 2010. Web. 27 Nov 2020.

Vancouver:

Harikrishna VJ. An Algorithmic Approach To Some Matrix Equivalence Problems. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2010. [cited 2020 Nov 27]. Available from: http://etd.iisc.ac.in/handle/2005/719.

Council of Science Editors:

Harikrishna VJ. An Algorithmic Approach To Some Matrix Equivalence Problems. [Doctoral Dissertation]. Indian Institute of Science; 2010. Available from: http://etd.iisc.ac.in/handle/2005/719


University of Toronto

24. Mohammad, Saif. Measuring Semantic Distance using Distributional Profiles of Concepts.

Degree: 2008, University of Toronto

Semantic distance is a measure of how close or distant in meaning two units of language are. A large number of important natural language problems,… (more)

Subjects/Keywords: Computational Linguistics; Natural Language Processing; Lexical semantics; semantic distance; distributional similarity; semantic similarity; semantic relatedness; word concept co-occurrence matrix; distributional profiles of concepts; thesaurus; corpus-based techniques; word senses; cross-lingual techniques; word sense dominance; word sense disambiguation; wordnet; 0984; 0800

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

APA (6th Edition):

Mohammad, S. (2008). Measuring Semantic Distance using Distributional Profiles of Concepts. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/11238

Chicago Manual of Style (16th Edition):

Mohammad, Saif. “Measuring Semantic Distance using Distributional Profiles of Concepts.” 2008. Doctoral Dissertation, University of Toronto. Accessed November 27, 2020. http://hdl.handle.net/1807/11238.

MLA Handbook (7th Edition):

Mohammad, Saif. “Measuring Semantic Distance using Distributional Profiles of Concepts.” 2008. Web. 27 Nov 2020.

Vancouver:

Mohammad S. Measuring Semantic Distance using Distributional Profiles of Concepts. [Internet] [Doctoral dissertation]. University of Toronto; 2008. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/1807/11238.

Council of Science Editors:

Mohammad S. Measuring Semantic Distance using Distributional Profiles of Concepts. [Doctoral Dissertation]. University of Toronto; 2008. Available from: http://hdl.handle.net/1807/11238

.