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You searched for subject:(Nearest neighbor analysis Statistics ). Showing records 1 – 30 of 95956 total matches.

[1] [2] [3] [4] [5] … [3199]

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University of Hong Kong

1. 谢希科.; Xie, Xike. Evaluating nearest neighbor queries over uncertain databases.

Degree: PhD, 2012, University of Hong Kong

Nearest Neighbor (NN in short) queries are important in emerging applications, such as wireless networks, location-based services, and data stream applications, where the data obtained… (more)

Subjects/Keywords: Nearest neighbor analysis (Statistics); Uncertainty (Information theory)

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

APA (6th Edition):

谢希科.; Xie, X. (2012). Evaluating nearest neighbor queries over uncertain databases. (Doctoral Dissertation). University of Hong Kong. Retrieved from Xie, X. [谢希科]. (2012). Evaluating nearest neighbor queries over uncertain databases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784954 ; http://dx.doi.org/10.5353/th_b4784954 ; http://hdl.handle.net/10722/174512

Chicago Manual of Style (16th Edition):

谢希科.; Xie, Xike. “Evaluating nearest neighbor queries over uncertain databases.” 2012. Doctoral Dissertation, University of Hong Kong. Accessed January 26, 2020. Xie, X. [谢希科]. (2012). Evaluating nearest neighbor queries over uncertain databases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784954 ; http://dx.doi.org/10.5353/th_b4784954 ; http://hdl.handle.net/10722/174512.

MLA Handbook (7th Edition):

谢希科.; Xie, Xike. “Evaluating nearest neighbor queries over uncertain databases.” 2012. Web. 26 Jan 2020.

Vancouver:

谢希科.; Xie X. Evaluating nearest neighbor queries over uncertain databases. [Internet] [Doctoral dissertation]. University of Hong Kong; 2012. [cited 2020 Jan 26]. Available from: Xie, X. [谢希科]. (2012). Evaluating nearest neighbor queries over uncertain databases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784954 ; http://dx.doi.org/10.5353/th_b4784954 ; http://hdl.handle.net/10722/174512.

Council of Science Editors:

谢希科.; Xie X. Evaluating nearest neighbor queries over uncertain databases. [Doctoral Dissertation]. University of Hong Kong; 2012. Available from: Xie, X. [谢希科]. (2012). Evaluating nearest neighbor queries over uncertain databases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784954 ; http://dx.doi.org/10.5353/th_b4784954 ; http://hdl.handle.net/10722/174512


Rhodes University

2. Dastile, Xolani Collen. Improved tree species discrimination at leaf level with hyperspectral data combining binary classifiers.

Degree: MS, Faculty of Science, Statistics, 2011, Rhodes University

 The purpose of the present thesis is to show that hyperspectral data can be used for discrimination between different tree species. The data set used… (more)

Subjects/Keywords: Mathematical statistics; Analysis of variance; Nearest neighbor analysis (Statistics); Trees – Classification

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APA (6th Edition):

Dastile, X. C. (2011). Improved tree species discrimination at leaf level with hyperspectral data combining binary classifiers. (Masters Thesis). Rhodes University. Retrieved from http://hdl.handle.net/10962/d1002807

Chicago Manual of Style (16th Edition):

Dastile, Xolani Collen. “Improved tree species discrimination at leaf level with hyperspectral data combining binary classifiers.” 2011. Masters Thesis, Rhodes University. Accessed January 26, 2020. http://hdl.handle.net/10962/d1002807.

MLA Handbook (7th Edition):

Dastile, Xolani Collen. “Improved tree species discrimination at leaf level with hyperspectral data combining binary classifiers.” 2011. Web. 26 Jan 2020.

Vancouver:

Dastile XC. Improved tree species discrimination at leaf level with hyperspectral data combining binary classifiers. [Internet] [Masters thesis]. Rhodes University; 2011. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/10962/d1002807.

Council of Science Editors:

Dastile XC. Improved tree species discrimination at leaf level with hyperspectral data combining binary classifiers. [Masters Thesis]. Rhodes University; 2011. Available from: http://hdl.handle.net/10962/d1002807


University of Hong Kong

3. 张培武.; Zhang, Peiwu. Voronoi-based nearest neighbor search for multi-dimensional uncertain databases.

Degree: M. Phil., 2012, University of Hong Kong

In Voronoi-based nearest neighbor search, the Voronoi cell of every point p in a database can be used to check whether p is the closest… (more)

Subjects/Keywords: Voronoi polygons.; Nearest neighbor analysis (Statistics); Uncertainty (Information theory)

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APA (6th Edition):

张培武.; Zhang, P. (2012). Voronoi-based nearest neighbor search for multi-dimensional uncertain databases. (Masters Thesis). University of Hong Kong. Retrieved from Zhang, P. [张培武]. (2012). Voronoi-based nearest neighbor search for multi-dimensional uncertain databases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4961817 ; http://dx.doi.org/10.5353/th_b4961817 ; http://hdl.handle.net/10722/181489

Chicago Manual of Style (16th Edition):

张培武.; Zhang, Peiwu. “Voronoi-based nearest neighbor search for multi-dimensional uncertain databases.” 2012. Masters Thesis, University of Hong Kong. Accessed January 26, 2020. Zhang, P. [张培武]. (2012). Voronoi-based nearest neighbor search for multi-dimensional uncertain databases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4961817 ; http://dx.doi.org/10.5353/th_b4961817 ; http://hdl.handle.net/10722/181489.

MLA Handbook (7th Edition):

张培武.; Zhang, Peiwu. “Voronoi-based nearest neighbor search for multi-dimensional uncertain databases.” 2012. Web. 26 Jan 2020.

Vancouver:

张培武.; Zhang P. Voronoi-based nearest neighbor search for multi-dimensional uncertain databases. [Internet] [Masters thesis]. University of Hong Kong; 2012. [cited 2020 Jan 26]. Available from: Zhang, P. [张培武]. (2012). Voronoi-based nearest neighbor search for multi-dimensional uncertain databases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4961817 ; http://dx.doi.org/10.5353/th_b4961817 ; http://hdl.handle.net/10722/181489.

Council of Science Editors:

张培武.; Zhang P. Voronoi-based nearest neighbor search for multi-dimensional uncertain databases. [Masters Thesis]. University of Hong Kong; 2012. Available from: Zhang, P. [张培武]. (2012). Voronoi-based nearest neighbor search for multi-dimensional uncertain databases. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4961817 ; http://dx.doi.org/10.5353/th_b4961817 ; http://hdl.handle.net/10722/181489


Montana State University

4. Schuh, Michael Arthur. High-dimensional data indexing with applications.

Degree: College of Engineering, 2015, Montana State University

 The indexing of high-dimensional data remains a challenging task amidst an active and storied area of computer science research that impacts many far-reaching applications. At… (more)

Subjects/Keywords: Indexing.; Nearest neighbor analysis (Statistics).; Information retrieval.; Content-based image retrieval.

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APA (6th Edition):

Schuh, M. A. (2015). High-dimensional data indexing with applications. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/9215

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):

Schuh, Michael Arthur. “High-dimensional data indexing with applications.” 2015. Thesis, Montana State University. Accessed January 26, 2020. https://scholarworks.montana.edu/xmlui/handle/1/9215.

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

MLA Handbook (7th Edition):

Schuh, Michael Arthur. “High-dimensional data indexing with applications.” 2015. Web. 26 Jan 2020.

Vancouver:

Schuh MA. High-dimensional data indexing with applications. [Internet] [Thesis]. Montana State University; 2015. [cited 2020 Jan 26]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9215.

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

Council of Science Editors:

Schuh MA. High-dimensional data indexing with applications. [Thesis]. Montana State University; 2015. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9215

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


Michigan State University

5. Li, Jinhua. Efficient similarity search based on data distribution properties in high dimensions.

Degree: PhD, Department of Computer Science and Engineering, 2001, Michigan State University

Subjects/Keywords: Nearest neighbor analysis (Statistics)

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

APA (6th Edition):

Li, J. (2001). Efficient similarity search based on data distribution properties in high dimensions. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:33785

Chicago Manual of Style (16th Edition):

Li, Jinhua. “Efficient similarity search based on data distribution properties in high dimensions.” 2001. Doctoral Dissertation, Michigan State University. Accessed January 26, 2020. http://etd.lib.msu.edu/islandora/object/etd:33785.

MLA Handbook (7th Edition):

Li, Jinhua. “Efficient similarity search based on data distribution properties in high dimensions.” 2001. Web. 26 Jan 2020.

Vancouver:

Li J. Efficient similarity search based on data distribution properties in high dimensions. [Internet] [Doctoral dissertation]. Michigan State University; 2001. [cited 2020 Jan 26]. Available from: http://etd.lib.msu.edu/islandora/object/etd:33785.

Council of Science Editors:

Li J. Efficient similarity search based on data distribution properties in high dimensions. [Doctoral Dissertation]. Michigan State University; 2001. Available from: http://etd.lib.msu.edu/islandora/object/etd:33785


University of Alberta

6. Bagui, Subhash Chandra. Nearest neighbor classification rules for multiple observations.

Degree: PhD, Department of Statistics and Applied Probability, 1989, University of Alberta

Subjects/Keywords: Nearest neighbor analysis (Statistics); Discriminant analysis.

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APA (6th Edition):

Bagui, S. C. (1989). Nearest neighbor classification rules for multiple observations. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/kd17cw339

Chicago Manual of Style (16th Edition):

Bagui, Subhash Chandra. “Nearest neighbor classification rules for multiple observations.” 1989. Doctoral Dissertation, University of Alberta. Accessed January 26, 2020. https://era.library.ualberta.ca/files/kd17cw339.

MLA Handbook (7th Edition):

Bagui, Subhash Chandra. “Nearest neighbor classification rules for multiple observations.” 1989. Web. 26 Jan 2020.

Vancouver:

Bagui SC. Nearest neighbor classification rules for multiple observations. [Internet] [Doctoral dissertation]. University of Alberta; 1989. [cited 2020 Jan 26]. Available from: https://era.library.ualberta.ca/files/kd17cw339.

Council of Science Editors:

Bagui SC. Nearest neighbor classification rules for multiple observations. [Doctoral Dissertation]. University of Alberta; 1989. Available from: https://era.library.ualberta.ca/files/kd17cw339


Hong Kong University of Science and Technology

7. Wong, Ka-Hang. A skip list approach for answering approximate nearest neighbor queries.

Degree: 2002, Hong Kong University of Science and Technology

 We present a new algorithm for answering approximate nearest neighbor queries that is inspired by skip lists. Our data structure uses linear space and can… (more)

Subjects/Keywords: Nearest neighbor analysis (Statistics) ; Computer algorithms

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APA (6th Edition):

Wong, K. (2002). A skip list approach for answering approximate nearest neighbor queries. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5744 ; https://doi.org/10.14711/thesis-b728573 ; http://repository.ust.hk/ir/bitstream/1783.1-5744/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Wong, Ka-Hang. “A skip list approach for answering approximate nearest neighbor queries.” 2002. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2020. http://repository.ust.hk/ir/Record/1783.1-5744 ; https://doi.org/10.14711/thesis-b728573 ; http://repository.ust.hk/ir/bitstream/1783.1-5744/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Wong, Ka-Hang. “A skip list approach for answering approximate nearest neighbor queries.” 2002. Web. 26 Jan 2020.

Vancouver:

Wong K. A skip list approach for answering approximate nearest neighbor queries. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2002. [cited 2020 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-5744 ; https://doi.org/10.14711/thesis-b728573 ; http://repository.ust.hk/ir/bitstream/1783.1-5744/1/th_redirect.html.

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

Council of Science Editors:

Wong K. A skip list approach for answering approximate nearest neighbor queries. [Thesis]. Hong Kong University of Science and Technology; 2002. Available from: http://repository.ust.hk/ir/Record/1783.1-5744 ; https://doi.org/10.14711/thesis-b728573 ; http://repository.ust.hk/ir/bitstream/1783.1-5744/1/th_redirect.html

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


Stellenbosch University

8. Coetzer, Frances. Aspects of multi-class nearest hypersphere classification.

Degree: MCom, Statistics and Actuarial Science, 2017, Stellenbosch University

ENGLISH SUMMARY : Using hyperspheres in the analysis of multivariate data is not a common practice in Statistics. However, hyperspheres have some interesting properties which… (more)

Subjects/Keywords: Multivariate analysis; Discriminant analysis; Nearest neighbor analysis (Statistics); Statistical classification; Support vector machines  – Classification; Multiclass classification; UCTD; Kernel functions

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APA (6th Edition):

Coetzer, F. (2017). Aspects of multi-class nearest hypersphere classification. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/102662

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):

Coetzer, Frances. “Aspects of multi-class nearest hypersphere classification.” 2017. Thesis, Stellenbosch University. Accessed January 26, 2020. http://hdl.handle.net/10019.1/102662.

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

MLA Handbook (7th Edition):

Coetzer, Frances. “Aspects of multi-class nearest hypersphere classification.” 2017. Web. 26 Jan 2020.

Vancouver:

Coetzer F. Aspects of multi-class nearest hypersphere classification. [Internet] [Thesis]. Stellenbosch University; 2017. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/10019.1/102662.

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

Council of Science Editors:

Coetzer F. Aspects of multi-class nearest hypersphere classification. [Thesis]. Stellenbosch University; 2017. Available from: http://hdl.handle.net/10019.1/102662

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


University of Hong Kong

9. Yiu, Man-lung. Advanced query processing on spatial networks.

Degree: PhD, 2006, University of Hong Kong

abstract

published_or_final_version

Computer Science

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Cheung, DWL, Mamoulis, N.

Subjects/Keywords: Cluster analysis.; Database management.; Nearest neighbor analysis (Statistics)

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APA (6th Edition):

Yiu, M. (2006). Advanced query processing on spatial networks. (Doctoral Dissertation). University of Hong Kong. Retrieved from Yiu, M. [姚文龍]. (2006). Advanced query processing on spatial networks. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3627936 ; http://dx.doi.org/10.5353/th_b3627936 ; http://hdl.handle.net/10722/41356

Chicago Manual of Style (16th Edition):

Yiu, Man-lung. “Advanced query processing on spatial networks.” 2006. Doctoral Dissertation, University of Hong Kong. Accessed January 26, 2020. Yiu, M. [姚文龍]. (2006). Advanced query processing on spatial networks. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3627936 ; http://dx.doi.org/10.5353/th_b3627936 ; http://hdl.handle.net/10722/41356.

MLA Handbook (7th Edition):

Yiu, Man-lung. “Advanced query processing on spatial networks.” 2006. Web. 26 Jan 2020.

Vancouver:

Yiu M. Advanced query processing on spatial networks. [Internet] [Doctoral dissertation]. University of Hong Kong; 2006. [cited 2020 Jan 26]. Available from: Yiu, M. [姚文龍]. (2006). Advanced query processing on spatial networks. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3627936 ; http://dx.doi.org/10.5353/th_b3627936 ; http://hdl.handle.net/10722/41356.

Council of Science Editors:

Yiu M. Advanced query processing on spatial networks. [Doctoral Dissertation]. University of Hong Kong; 2006. Available from: Yiu, M. [姚文龍]. (2006). Advanced query processing on spatial networks. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3627936 ; http://dx.doi.org/10.5353/th_b3627936 ; http://hdl.handle.net/10722/41356


Stellenbosch University

10. Rodseth, Tessa Louise. Statistical classification in high-dimensional scenarios with a focus on microarray data sets.

Degree: MCom, Statistics and Actuarial Science, 2017, Stellenbosch University

ENGLISH SUMMARY : High-dimensional data analysis characterises many contemporary problems in statistics and arise in many application areas. This thesis focuses on very high-dimensional problems… (more)

Subjects/Keywords: Statistical classification; Nearest neighbor analysis (Statistics); Discriminant analysis; Support vector machines  – Classification; Variable selection; Variables (Mathematics)  – Statistical methods; UCTD

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APA (6th Edition):

Rodseth, T. L. (2017). Statistical classification in high-dimensional scenarios with a focus on microarray data sets. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/102771

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):

Rodseth, Tessa Louise. “Statistical classification in high-dimensional scenarios with a focus on microarray data sets.” 2017. Thesis, Stellenbosch University. Accessed January 26, 2020. http://hdl.handle.net/10019.1/102771.

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

MLA Handbook (7th Edition):

Rodseth, Tessa Louise. “Statistical classification in high-dimensional scenarios with a focus on microarray data sets.” 2017. Web. 26 Jan 2020.

Vancouver:

Rodseth TL. Statistical classification in high-dimensional scenarios with a focus on microarray data sets. [Internet] [Thesis]. Stellenbosch University; 2017. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/10019.1/102771.

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

Council of Science Editors:

Rodseth TL. Statistical classification in high-dimensional scenarios with a focus on microarray data sets. [Thesis]. Stellenbosch University; 2017. Available from: http://hdl.handle.net/10019.1/102771

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


Portland State University

11. Hawash, Maher Mofeid. Methods for Efficient Synthesis of Large Reversible Binary and Ternary Quantum Circuits and Applications of Linear Nearest Neighbor Model.

Degree: PhD, Electrical and Computer Engineering, 2013, Portland State University

  This dissertation describes the development of automated synthesis algorithms that construct reversible quantum circuits for reversible functions with large number of variables. Specifically, the… (more)

Subjects/Keywords: Quantum computers  – Research; Many-valued logic; Reversible computing; Nearest neighbor analysis (Statistics); Other Electrical and Computer Engineering

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APA (6th Edition):

Hawash, M. M. (2013). Methods for Efficient Synthesis of Large Reversible Binary and Ternary Quantum Circuits and Applications of Linear Nearest Neighbor Model. (Doctoral Dissertation). Portland State University. Retrieved from http://pdxscholar.library.pdx.edu/open_access_etds/1090

Chicago Manual of Style (16th Edition):

Hawash, Maher Mofeid. “Methods for Efficient Synthesis of Large Reversible Binary and Ternary Quantum Circuits and Applications of Linear Nearest Neighbor Model.” 2013. Doctoral Dissertation, Portland State University. Accessed January 26, 2020. http://pdxscholar.library.pdx.edu/open_access_etds/1090.

MLA Handbook (7th Edition):

Hawash, Maher Mofeid. “Methods for Efficient Synthesis of Large Reversible Binary and Ternary Quantum Circuits and Applications of Linear Nearest Neighbor Model.” 2013. Web. 26 Jan 2020.

Vancouver:

Hawash MM. Methods for Efficient Synthesis of Large Reversible Binary and Ternary Quantum Circuits and Applications of Linear Nearest Neighbor Model. [Internet] [Doctoral dissertation]. Portland State University; 2013. [cited 2020 Jan 26]. Available from: http://pdxscholar.library.pdx.edu/open_access_etds/1090.

Council of Science Editors:

Hawash MM. Methods for Efficient Synthesis of Large Reversible Binary and Ternary Quantum Circuits and Applications of Linear Nearest Neighbor Model. [Doctoral Dissertation]. Portland State University; 2013. Available from: http://pdxscholar.library.pdx.edu/open_access_etds/1090


Hong Kong University of Science and Technology

12. Shen, Qiong Mao. Group nearest neighbor queries.

Degree: 2003, Hong Kong University of Science and Technology

 Given two sets of points P and Q, a group nearest neighbor (GNN) query retrieves the point(s) of P with the smallest sum of distances… (more)

Subjects/Keywords: Nearest neighbor analysis (Statistics) ; Query languages (Computer science)

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APA (6th Edition):

Shen, Q. M. (2003). Group nearest neighbor queries. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5786 ; https://doi.org/10.14711/thesis-b810481 ; http://repository.ust.hk/ir/bitstream/1783.1-5786/1/th_redirect.html

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):

Shen, Qiong Mao. “Group nearest neighbor queries.” 2003. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2020. http://repository.ust.hk/ir/Record/1783.1-5786 ; https://doi.org/10.14711/thesis-b810481 ; http://repository.ust.hk/ir/bitstream/1783.1-5786/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Shen, Qiong Mao. “Group nearest neighbor queries.” 2003. Web. 26 Jan 2020.

Vancouver:

Shen QM. Group nearest neighbor queries. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2003. [cited 2020 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-5786 ; https://doi.org/10.14711/thesis-b810481 ; http://repository.ust.hk/ir/bitstream/1783.1-5786/1/th_redirect.html.

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

Council of Science Editors:

Shen QM. Group nearest neighbor queries. [Thesis]. Hong Kong University of Science and Technology; 2003. Available from: http://repository.ust.hk/ir/Record/1783.1-5786 ; https://doi.org/10.14711/thesis-b810481 ; http://repository.ust.hk/ir/bitstream/1783.1-5786/1/th_redirect.html

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


Hong Kong University of Science and Technology

13. Xia, Jian. New results in nearest neighbor and range searching.

Degree: 2010, Hong Kong University of Science and Technology

 In this thesis, we tackle challenging open questions in the area of nearest neighbor and range searching. Nearest neighbor and range searching are among the… (more)

Subjects/Keywords: Nearest neighbor analysis (Statistics) ; Approximation theory ; Geometry  – Data processing

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APA (6th Edition):

Xia, J. (2010). New results in nearest neighbor and range searching. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-6746 ; https://doi.org/10.14711/thesis-b1106562 ; http://repository.ust.hk/ir/bitstream/1783.1-6746/1/th_redirect.html

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):

Xia, Jian. “New results in nearest neighbor and range searching.” 2010. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2020. http://repository.ust.hk/ir/Record/1783.1-6746 ; https://doi.org/10.14711/thesis-b1106562 ; http://repository.ust.hk/ir/bitstream/1783.1-6746/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Xia, Jian. “New results in nearest neighbor and range searching.” 2010. Web. 26 Jan 2020.

Vancouver:

Xia J. New results in nearest neighbor and range searching. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2020 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-6746 ; https://doi.org/10.14711/thesis-b1106562 ; http://repository.ust.hk/ir/bitstream/1783.1-6746/1/th_redirect.html.

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

Council of Science Editors:

Xia J. New results in nearest neighbor and range searching. [Thesis]. Hong Kong University of Science and Technology; 2010. Available from: http://repository.ust.hk/ir/Record/1783.1-6746 ; https://doi.org/10.14711/thesis-b1106562 ; http://repository.ust.hk/ir/bitstream/1783.1-6746/1/th_redirect.html

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


Hong Kong University of Science and Technology

14. Fu, Addy Ho-Yam. Expected-case analysis of approximate nearest neighbor algorithms.

Degree: 1999, Hong Kong University of Science and Technology

 Most research in algorithms for geometric query problems has focused on their worst-case performance. But when information on the query distribution is available, the alternative… (more)

Subjects/Keywords: Geometry  – Data processing ; Computer algorithms ; Nearest neighbor analysis (Statistics)

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

APA (6th Edition):

Fu, A. H. (1999). Expected-case analysis of approximate nearest neighbor algorithms. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5675 ; https://doi.org/10.14711/thesis-b643189 ; http://repository.ust.hk/ir/bitstream/1783.1-5675/1/th_redirect.html

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):

Fu, Addy Ho-Yam. “Expected-case analysis of approximate nearest neighbor algorithms.” 1999. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2020. http://repository.ust.hk/ir/Record/1783.1-5675 ; https://doi.org/10.14711/thesis-b643189 ; http://repository.ust.hk/ir/bitstream/1783.1-5675/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Fu, Addy Ho-Yam. “Expected-case analysis of approximate nearest neighbor algorithms.” 1999. Web. 26 Jan 2020.

Vancouver:

Fu AH. Expected-case analysis of approximate nearest neighbor algorithms. [Internet] [Thesis]. Hong Kong University of Science and Technology; 1999. [cited 2020 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-5675 ; https://doi.org/10.14711/thesis-b643189 ; http://repository.ust.hk/ir/bitstream/1783.1-5675/1/th_redirect.html.

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

Council of Science Editors:

Fu AH. Expected-case analysis of approximate nearest neighbor algorithms. [Thesis]. Hong Kong University of Science and Technology; 1999. Available from: http://repository.ust.hk/ir/Record/1783.1-5675 ; https://doi.org/10.14711/thesis-b643189 ; http://repository.ust.hk/ir/bitstream/1783.1-5675/1/th_redirect.html

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


Hong Kong University of Science and Technology

15. Zhang, Jun. Nearest neighbor queries in spatial and spatio-temporal databases.

Degree: 2003, Hong Kong University of Science and Technology

Nearest neighbor (NN) search constitutes one of the most important forms of spatial / spatio-temporal information processing. Despite the large amount of related work during… (more)

Subjects/Keywords: Nearest neighbor analysis (Statistics) ; Spatial analysis (Statistics) ; Temporal databases ; Computer algorithms

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

APA (6th Edition):

Zhang, J. (2003). Nearest neighbor queries in spatial and spatio-temporal databases. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-1790 ; https://doi.org/10.14711/thesis-b810478 ; http://repository.ust.hk/ir/bitstream/1783.1-1790/1/th_redirect.html

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):

Zhang, Jun. “Nearest neighbor queries in spatial and spatio-temporal databases.” 2003. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2020. http://repository.ust.hk/ir/Record/1783.1-1790 ; https://doi.org/10.14711/thesis-b810478 ; http://repository.ust.hk/ir/bitstream/1783.1-1790/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhang, Jun. “Nearest neighbor queries in spatial and spatio-temporal databases.” 2003. Web. 26 Jan 2020.

Vancouver:

Zhang J. Nearest neighbor queries in spatial and spatio-temporal databases. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2003. [cited 2020 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-1790 ; https://doi.org/10.14711/thesis-b810478 ; http://repository.ust.hk/ir/bitstream/1783.1-1790/1/th_redirect.html.

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

Council of Science Editors:

Zhang J. Nearest neighbor queries in spatial and spatio-temporal databases. [Thesis]. Hong Kong University of Science and Technology; 2003. Available from: http://repository.ust.hk/ir/Record/1783.1-1790 ; https://doi.org/10.14711/thesis-b810478 ; http://repository.ust.hk/ir/bitstream/1783.1-1790/1/th_redirect.html

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


Louisiana State University

16. Knight, Dina Sa. The transient wave effect and real losses correlation-frequency, temporal, and spatial analysis.

Degree: MSES, Engineering Science and Materials, 2011, Louisiana State University

  Water distribution systems are prone to transients since pumps need to be started and stopped, pumps may have sudden flow changes, human blunders can… (more)

Subjects/Keywords: transient wave effect; Ripley's K-function; waterhammer; spatial statistics; geographic; hot spot analysis; nearest neighbor; transient; Gi* local statistic; leaks; power failures; water network; water distribution

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

APA (6th Edition):

Knight, D. S. (2011). The transient wave effect and real losses correlation-frequency, temporal, and spatial analysis. (Masters Thesis). Louisiana State University. Retrieved from etd-11062011-155437 ; https://digitalcommons.lsu.edu/gradschool_theses/1274

Chicago Manual of Style (16th Edition):

Knight, Dina Sa. “The transient wave effect and real losses correlation-frequency, temporal, and spatial analysis.” 2011. Masters Thesis, Louisiana State University. Accessed January 26, 2020. etd-11062011-155437 ; https://digitalcommons.lsu.edu/gradschool_theses/1274.

MLA Handbook (7th Edition):

Knight, Dina Sa. “The transient wave effect and real losses correlation-frequency, temporal, and spatial analysis.” 2011. Web. 26 Jan 2020.

Vancouver:

Knight DS. The transient wave effect and real losses correlation-frequency, temporal, and spatial analysis. [Internet] [Masters thesis]. Louisiana State University; 2011. [cited 2020 Jan 26]. Available from: etd-11062011-155437 ; https://digitalcommons.lsu.edu/gradschool_theses/1274.

Council of Science Editors:

Knight DS. The transient wave effect and real losses correlation-frequency, temporal, and spatial analysis. [Masters Thesis]. Louisiana State University; 2011. Available from: etd-11062011-155437 ; https://digitalcommons.lsu.edu/gradschool_theses/1274


Hong Kong University of Science and Technology

17. Hui, Michael Chun Kit. Aggregate nearest neighbor queries.

Degree: 2004, Hong Kong University of Science and Technology

 Given two sets of points P (e.g., facilities) and Q (queries) in a multidimensional vector space, an aggregate nearest neighbor (ANN) query retrieves the point(s)… (more)

Subjects/Keywords: Query languages (Computer science) ; Nearest neighbor analysis (Statistics) ; Computer algorithms

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

APA (6th Edition):

Hui, M. C. K. (2004). Aggregate nearest neighbor queries. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5794 ; https://doi.org/10.14711/thesis-b837457 ; http://repository.ust.hk/ir/bitstream/1783.1-5794/1/th_redirect.html

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):

Hui, Michael Chun Kit. “Aggregate nearest neighbor queries.” 2004. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2020. http://repository.ust.hk/ir/Record/1783.1-5794 ; https://doi.org/10.14711/thesis-b837457 ; http://repository.ust.hk/ir/bitstream/1783.1-5794/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Hui, Michael Chun Kit. “Aggregate nearest neighbor queries.” 2004. Web. 26 Jan 2020.

Vancouver:

Hui MCK. Aggregate nearest neighbor queries. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2004. [cited 2020 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-5794 ; https://doi.org/10.14711/thesis-b837457 ; http://repository.ust.hk/ir/bitstream/1783.1-5794/1/th_redirect.html.

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

Council of Science Editors:

Hui MCK. Aggregate nearest neighbor queries. [Thesis]. Hong Kong University of Science and Technology; 2004. Available from: http://repository.ust.hk/ir/Record/1783.1-5794 ; https://doi.org/10.14711/thesis-b837457 ; http://repository.ust.hk/ir/bitstream/1783.1-5794/1/th_redirect.html

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


Hong Kong University of Science and Technology

18. Wong, Wing Sing. K-nearest-neighbor queries with non-spatial predicates on range attributes.

Degree: 2005, Hong Kong University of Science and Technology

 Spatial databases have interesting real-life applications with high demands in the area of geographic information system (GIS), transport monitoring, network monitoring and VLSI (chip design).… (more)

Subjects/Keywords: Nearest neighbor analysis (Statistics) ; Query languages (Computer science) ; Computer algorithms

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APA (6th Edition):

Wong, W. S. (2005). K-nearest-neighbor queries with non-spatial predicates on range attributes. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5807 ; https://doi.org/10.14711/thesis-b856972 ; http://repository.ust.hk/ir/bitstream/1783.1-5807/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Wong, Wing Sing. “K-nearest-neighbor queries with non-spatial predicates on range attributes.” 2005. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2020. http://repository.ust.hk/ir/Record/1783.1-5807 ; https://doi.org/10.14711/thesis-b856972 ; http://repository.ust.hk/ir/bitstream/1783.1-5807/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Wong, Wing Sing. “K-nearest-neighbor queries with non-spatial predicates on range attributes.” 2005. Web. 26 Jan 2020.

Vancouver:

Wong WS. K-nearest-neighbor queries with non-spatial predicates on range attributes. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2005. [cited 2020 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-5807 ; https://doi.org/10.14711/thesis-b856972 ; http://repository.ust.hk/ir/bitstream/1783.1-5807/1/th_redirect.html.

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

Council of Science Editors:

Wong WS. K-nearest-neighbor queries with non-spatial predicates on range attributes. [Thesis]. Hong Kong University of Science and Technology; 2005. Available from: http://repository.ust.hk/ir/Record/1783.1-5807 ; https://doi.org/10.14711/thesis-b856972 ; http://repository.ust.hk/ir/bitstream/1783.1-5807/1/th_redirect.html

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


Michigan State University

19. Kolbe, Dashiell Matthews. Techniques for efficient k-Nearest Neighbor searching in non-ordered discrete and hybrid data spaces.

Degree: PhD, Computer Science, 2010, Michigan State University

Subjects/Keywords: Computers – Database management; Database searching; Computer networks; Pattern perception; Nearest neighbor analysis (Statistics)

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

APA (6th Edition):

Kolbe, D. M. (2010). Techniques for efficient k-Nearest Neighbor searching in non-ordered discrete and hybrid data spaces. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:17544

Chicago Manual of Style (16th Edition):

Kolbe, Dashiell Matthews. “Techniques for efficient k-Nearest Neighbor searching in non-ordered discrete and hybrid data spaces.” 2010. Doctoral Dissertation, Michigan State University. Accessed January 26, 2020. http://etd.lib.msu.edu/islandora/object/etd:17544.

MLA Handbook (7th Edition):

Kolbe, Dashiell Matthews. “Techniques for efficient k-Nearest Neighbor searching in non-ordered discrete and hybrid data spaces.” 2010. Web. 26 Jan 2020.

Vancouver:

Kolbe DM. Techniques for efficient k-Nearest Neighbor searching in non-ordered discrete and hybrid data spaces. [Internet] [Doctoral dissertation]. Michigan State University; 2010. [cited 2020 Jan 26]. Available from: http://etd.lib.msu.edu/islandora/object/etd:17544.

Council of Science Editors:

Kolbe DM. Techniques for efficient k-Nearest Neighbor searching in non-ordered discrete and hybrid data spaces. [Doctoral Dissertation]. Michigan State University; 2010. Available from: http://etd.lib.msu.edu/islandora/object/etd:17544

20. Ram, Parikshit. New paradigms for approximate nearest-neighbor search.

Degree: PhD, Computational Science and Engineering, 2013, Georgia Tech

Nearest-neighbor search is a very natural and universal problem in computer science. Often times, the problem size necessitates approximation. In this thesis, I present new… (more)

Subjects/Keywords: Similarity search; Nearest-neighbor search; Computational geometry; Algorithms and analysis; Nearest neighbor analysis (Statistics); Approximation algorithms; Search theory

…for an approximate nearest-neighbor of the query. . . . . . . . . . . . . . . . 8 3 4… …18 6 Planted nearest-neighbor model. . . . . . . . . . . . . . . . . . . . . . 23 7… …bar represents the speedup of treebased exact nearest-neighbor search, the blue bars… …larger and larger regions in search for the nearest-neighbor. 89 31 Defeatist-forest search… …quantization performance of the trees and the bottom row presents the nearest-neighbor error (in… 

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

APA (6th Edition):

Ram, P. (2013). New paradigms for approximate nearest-neighbor search. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49112

Chicago Manual of Style (16th Edition):

Ram, Parikshit. “New paradigms for approximate nearest-neighbor search.” 2013. Doctoral Dissertation, Georgia Tech. Accessed January 26, 2020. http://hdl.handle.net/1853/49112.

MLA Handbook (7th Edition):

Ram, Parikshit. “New paradigms for approximate nearest-neighbor search.” 2013. Web. 26 Jan 2020.

Vancouver:

Ram P. New paradigms for approximate nearest-neighbor search. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/1853/49112.

Council of Science Editors:

Ram P. New paradigms for approximate nearest-neighbor search. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49112


University of Cincinnati

21. Gupta, Nidhi. Mutual k Nearest Neighbor based Classifier.

Degree: MS, Engineering and Applied Science: Computer Science, 2010, University of Cincinnati

 In this information intensive world, data is used to make statistical decisions for business, scientific, and industrial situations. With decreasing cost of computing power and… (more)

Subjects/Keywords: Artificial Intelligence; K Nearest Neighbor; Mutual k Nearest Neighbor; Classifier; Classification algorithm; Reverse Nearest Neighbor

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

APA (6th Edition):

Gupta, N. (2010). Mutual k Nearest Neighbor based Classifier. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1289937369

Chicago Manual of Style (16th Edition):

Gupta, Nidhi. “Mutual k Nearest Neighbor based Classifier.” 2010. Masters Thesis, University of Cincinnati. Accessed January 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1289937369.

MLA Handbook (7th Edition):

Gupta, Nidhi. “Mutual k Nearest Neighbor based Classifier.” 2010. Web. 26 Jan 2020.

Vancouver:

Gupta N. Mutual k Nearest Neighbor based Classifier. [Internet] [Masters thesis]. University of Cincinnati; 2010. [cited 2020 Jan 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1289937369.

Council of Science Editors:

Gupta N. Mutual k Nearest Neighbor based Classifier. [Masters Thesis]. University of Cincinnati; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1289937369


University of Lethbridge

22. University of Lethbridge. Faculty of Arts and Science. A nearest neighbor search method suitable for low dimensions and location-dependent spatial queries in mobile computing .

Degree: 2015, University of Lethbridge

 This thesis proposes a k-nearest-neighbor search method inspired by the grid space partitioning and the compact trie tree structure. A detailed implementation based on the… (more)

Subjects/Keywords: nearest neighbor search; trie

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

APA (6th Edition):

Science, U. o. L. F. o. A. a. (2015). A nearest neighbor search method suitable for low dimensions and location-dependent spatial queries in mobile computing . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/3865

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):

Science, University of Lethbridge. Faculty of Arts and. “A nearest neighbor search method suitable for low dimensions and location-dependent spatial queries in mobile computing .” 2015. Thesis, University of Lethbridge. Accessed January 26, 2020. http://hdl.handle.net/10133/3865.

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

MLA Handbook (7th Edition):

Science, University of Lethbridge. Faculty of Arts and. “A nearest neighbor search method suitable for low dimensions and location-dependent spatial queries in mobile computing .” 2015. Web. 26 Jan 2020.

Vancouver:

Science UoLFoAa. A nearest neighbor search method suitable for low dimensions and location-dependent spatial queries in mobile computing . [Internet] [Thesis]. University of Lethbridge; 2015. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/10133/3865.

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

Council of Science Editors:

Science UoLFoAa. A nearest neighbor search method suitable for low dimensions and location-dependent spatial queries in mobile computing . [Thesis]. University of Lethbridge; 2015. Available from: http://hdl.handle.net/10133/3865

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


Anna University

23. Balasaravanan K. Parallel spatial object search with Optimal bayesian nearest neighbor in Grid regions;.

Degree: Parallel spatial object search with Optimal bayesian nearest neighbor in Grid regions, 2015, Anna University

Spatial database comprises of database that is optimized to store and newlinequery the data that is in a way related to objects involved in space… (more)

Subjects/Keywords: Bayesian Nearest Neighbor Search; Nearest Neighbor; Optimal bayesian

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APA (6th Edition):

K, B. (2015). Parallel spatial object search with Optimal bayesian nearest neighbor in Grid regions;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/40239

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):

K, Balasaravanan. “Parallel spatial object search with Optimal bayesian nearest neighbor in Grid regions;.” 2015. Thesis, Anna University. Accessed January 26, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/40239.

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

MLA Handbook (7th Edition):

K, Balasaravanan. “Parallel spatial object search with Optimal bayesian nearest neighbor in Grid regions;.” 2015. Web. 26 Jan 2020.

Vancouver:

K B. Parallel spatial object search with Optimal bayesian nearest neighbor in Grid regions;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Jan 26]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/40239.

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

Council of Science Editors:

K B. Parallel spatial object search with Optimal bayesian nearest neighbor in Grid regions;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/40239

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


University of Cincinnati

24. Shi, Hongxiang. Hierarchical Statistical Models for Large Spatial Data in Uncertainty Quantification and Data Fusion.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2017, University of Cincinnati

 Modeling of spatial data often encounters computational bottleneck for large datasets and change- of-support effect for data at different resolutions. There is a rich literature… (more)

Subjects/Keywords: Statistics; Spatial Hierarchical Modeling; Nearest Neighbor Gaussian Process; Spatial Random Effect Model; EM Algorithm; MCMC Algrotihm

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APA (6th Edition):

Shi, H. (2017). Hierarchical Statistical Models for Large Spatial Data in Uncertainty Quantification and Data Fusion. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504802515691938

Chicago Manual of Style (16th Edition):

Shi, Hongxiang. “Hierarchical Statistical Models for Large Spatial Data in Uncertainty Quantification and Data Fusion.” 2017. Doctoral Dissertation, University of Cincinnati. Accessed January 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504802515691938.

MLA Handbook (7th Edition):

Shi, Hongxiang. “Hierarchical Statistical Models for Large Spatial Data in Uncertainty Quantification and Data Fusion.” 2017. Web. 26 Jan 2020.

Vancouver:

Shi H. Hierarchical Statistical Models for Large Spatial Data in Uncertainty Quantification and Data Fusion. [Internet] [Doctoral dissertation]. University of Cincinnati; 2017. [cited 2020 Jan 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504802515691938.

Council of Science Editors:

Shi H. Hierarchical Statistical Models for Large Spatial Data in Uncertainty Quantification and Data Fusion. [Doctoral Dissertation]. University of Cincinnati; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504802515691938

25. Ali Khan, Syed Irteza. Classification using residual vector quantization.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 Residual vector quantization (RVQ) is a 1-nearest neighbor (1-NN) type of technique. RVQ is a multi-stage implementation of regular vector quantization. An input is successively… (more)

Subjects/Keywords: Residual vector quantization; Bayesian framework; Markov structure; 1-Nearest neighbor; Vector analysis; Nearest neighbor analysis (Statistics); Data compression (Telecommunication); Coding theory; Image processing

…SUMMARY Residual vector quantization (RVQ) is a 1-nearest neighbor (1-NN)… …classification, nearest neighbor techniques are very attractive since these techniques very accurately… …model the ideal Bayes class boundaries. However, nearest neighbor classification techniques… …large training set can make the implementation cost of the nearest neighbor classifier… …Other than these multi-stage frameworks, K-means [8] and nearest neighbor… 

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APA (6th Edition):

Ali Khan, S. I. (2013). Classification using residual vector quantization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50300

Chicago Manual of Style (16th Edition):

Ali Khan, Syed Irteza. “Classification using residual vector quantization.” 2013. Doctoral Dissertation, Georgia Tech. Accessed January 26, 2020. http://hdl.handle.net/1853/50300.

MLA Handbook (7th Edition):

Ali Khan, Syed Irteza. “Classification using residual vector quantization.” 2013. Web. 26 Jan 2020.

Vancouver:

Ali Khan SI. Classification using residual vector quantization. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/1853/50300.

Council of Science Editors:

Ali Khan SI. Classification using residual vector quantization. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50300


University of Manitoba

26. Lawson, Kathryn Sahara. Defining activity areas in the Early Neolithic site at Foeni-Salaş (southwest Romania): A spatial analytic approach with geographical information systems in archaeology.

Degree: Anthropology, 2007, University of Manitoba

 Through the years, there has been a great deal of archaeological research focused on the earliest farming cultures of Europe (i.e. Early Neolithic). However, little… (more)

Subjects/Keywords: spatial analysis; artefact patterns; activity areas; archaeology; GIS; Early Neolithic; Romania; pit houses; Nearest Neighbor; statistics

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APA (6th Edition):

Lawson, K. S. (2007). Defining activity areas in the Early Neolithic site at Foeni-Salaş (southwest Romania): A spatial analytic approach with geographical information systems in archaeology. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/2838

Chicago Manual of Style (16th Edition):

Lawson, Kathryn Sahara. “Defining activity areas in the Early Neolithic site at Foeni-Salaş (southwest Romania): A spatial analytic approach with geographical information systems in archaeology.” 2007. Masters Thesis, University of Manitoba. Accessed January 26, 2020. http://hdl.handle.net/1993/2838.

MLA Handbook (7th Edition):

Lawson, Kathryn Sahara. “Defining activity areas in the Early Neolithic site at Foeni-Salaş (southwest Romania): A spatial analytic approach with geographical information systems in archaeology.” 2007. Web. 26 Jan 2020.

Vancouver:

Lawson KS. Defining activity areas in the Early Neolithic site at Foeni-Salaş (southwest Romania): A spatial analytic approach with geographical information systems in archaeology. [Internet] [Masters thesis]. University of Manitoba; 2007. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/1993/2838.

Council of Science Editors:

Lawson KS. Defining activity areas in the Early Neolithic site at Foeni-Salaş (southwest Romania): A spatial analytic approach with geographical information systems in archaeology. [Masters Thesis]. University of Manitoba; 2007. Available from: http://hdl.handle.net/1993/2838


Michigan State University

27. Miller, Vincent Paul, 1932-. The spatial impact of isolation on urban-rural relationships in Setesdal, South Norway.

Degree: PhD, Department of Geography, 1970, Michigan State University

Subjects/Keywords: Social isolation; Spatial behavior – Norway – Setesdal; Nearest neighbor analysis (Statistics); Setesdal (Norway) – Social conditions

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APA (6th Edition):

Miller, Vincent Paul, 1. (1970). The spatial impact of isolation on urban-rural relationships in Setesdal, South Norway. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:36559

Chicago Manual of Style (16th Edition):

Miller, Vincent Paul, 1932-. “The spatial impact of isolation on urban-rural relationships in Setesdal, South Norway.” 1970. Doctoral Dissertation, Michigan State University. Accessed January 26, 2020. http://etd.lib.msu.edu/islandora/object/etd:36559.

MLA Handbook (7th Edition):

Miller, Vincent Paul, 1932-. “The spatial impact of isolation on urban-rural relationships in Setesdal, South Norway.” 1970. Web. 26 Jan 2020.

Vancouver:

Miller, Vincent Paul 1. The spatial impact of isolation on urban-rural relationships in Setesdal, South Norway. [Internet] [Doctoral dissertation]. Michigan State University; 1970. [cited 2020 Jan 26]. Available from: http://etd.lib.msu.edu/islandora/object/etd:36559.

Council of Science Editors:

Miller, Vincent Paul 1. The spatial impact of isolation on urban-rural relationships in Setesdal, South Norway. [Doctoral Dissertation]. Michigan State University; 1970. Available from: http://etd.lib.msu.edu/islandora/object/etd:36559

28. Dissanayake, Hasith U. Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University.

Degree: Computer Science: M.S., Computer Science and Information Technology, 2016, St. Cloud State University

  Student graduation rates has always taken prominence in academic studies since it is considered a major factor to reflect the performance of any university.… (more)

Subjects/Keywords: Retention probabilities; predictive modeling; student retention; principal component analysis; Bayesian Networks; k-Nearest Neighbor; Random Forest;

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APA (6th Edition):

Dissanayake, H. U. (2016). Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University. (Masters Thesis). St. Cloud State University. Retrieved from https://repository.stcloudstate.edu/csit_etds/10

Chicago Manual of Style (16th Edition):

Dissanayake, Hasith U. “Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University.” 2016. Masters Thesis, St. Cloud State University. Accessed January 26, 2020. https://repository.stcloudstate.edu/csit_etds/10.

MLA Handbook (7th Edition):

Dissanayake, Hasith U. “Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University.” 2016. Web. 26 Jan 2020.

Vancouver:

Dissanayake HU. Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University. [Internet] [Masters thesis]. St. Cloud State University; 2016. [cited 2020 Jan 26]. Available from: https://repository.stcloudstate.edu/csit_etds/10.

Council of Science Editors:

Dissanayake HU. Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University. [Masters Thesis]. St. Cloud State University; 2016. Available from: https://repository.stcloudstate.edu/csit_etds/10


Mississippi State University

29. Prabhu, Chitra. COMPARISON OF THE UTILITY OF REGRESSION ANALYSIS AND K-NEAREST NEIGHBOR TECHNIQUE TO ESTIMATE ABOVE-GROUND BIOMASS IN PINE FORESTS USING LANDSAT ETM+ IMAGERY.

Degree: MS, Geosciences, 2006, Mississippi State University

 There is a lack of precise and universally accepted approach in the quantification of carbon sequestered in aboveground woody biomass using remotely sensed data. Drafting… (more)

Subjects/Keywords: carbon; k-Nearest Neighbor; regression analysis; Above-ground biomass

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

APA (6th Edition):

Prabhu, C. (2006). COMPARISON OF THE UTILITY OF REGRESSION ANALYSIS AND K-NEAREST NEIGHBOR TECHNIQUE TO ESTIMATE ABOVE-GROUND BIOMASS IN PINE FORESTS USING LANDSAT ETM+ IMAGERY. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-08092006-091449/ ;

Chicago Manual of Style (16th Edition):

Prabhu, Chitra. “COMPARISON OF THE UTILITY OF REGRESSION ANALYSIS AND K-NEAREST NEIGHBOR TECHNIQUE TO ESTIMATE ABOVE-GROUND BIOMASS IN PINE FORESTS USING LANDSAT ETM+ IMAGERY.” 2006. Masters Thesis, Mississippi State University. Accessed January 26, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-08092006-091449/ ;.

MLA Handbook (7th Edition):

Prabhu, Chitra. “COMPARISON OF THE UTILITY OF REGRESSION ANALYSIS AND K-NEAREST NEIGHBOR TECHNIQUE TO ESTIMATE ABOVE-GROUND BIOMASS IN PINE FORESTS USING LANDSAT ETM+ IMAGERY.” 2006. Web. 26 Jan 2020.

Vancouver:

Prabhu C. COMPARISON OF THE UTILITY OF REGRESSION ANALYSIS AND K-NEAREST NEIGHBOR TECHNIQUE TO ESTIMATE ABOVE-GROUND BIOMASS IN PINE FORESTS USING LANDSAT ETM+ IMAGERY. [Internet] [Masters thesis]. Mississippi State University; 2006. [cited 2020 Jan 26]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-08092006-091449/ ;.

Council of Science Editors:

Prabhu C. COMPARISON OF THE UTILITY OF REGRESSION ANALYSIS AND K-NEAREST NEIGHBOR TECHNIQUE TO ESTIMATE ABOVE-GROUND BIOMASS IN PINE FORESTS USING LANDSAT ETM+ IMAGERY. [Masters Thesis]. Mississippi State University; 2006. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-08092006-091449/ ;


Georgia State University

30. Boring, Michael. Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology.

Degree: MS, Mathematics and Statistics, 2014, Georgia State University

  Age related macular degeneration (AMD) is a public health concern in an aging society. The retinal pigment epithelium (RPE) layer of the eye is… (more)

Subjects/Keywords: Age related macular degeneration (AMD); Retinal pigment epithelium (RPE); K-nearest neighbor algorithm (k-NN); Classification; Principal component analysis (PCA)

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APA (6th Edition):

Boring, M. (2014). Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/138

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):

Boring, Michael. “Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology.” 2014. Thesis, Georgia State University. Accessed January 26, 2020. https://scholarworks.gsu.edu/math_theses/138.

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

MLA Handbook (7th Edition):

Boring, Michael. “Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology.” 2014. Web. 26 Jan 2020.

Vancouver:

Boring M. Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology. [Internet] [Thesis]. Georgia State University; 2014. [cited 2020 Jan 26]. Available from: https://scholarworks.gsu.edu/math_theses/138.

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

Council of Science Editors:

Boring M. Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology. [Thesis]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/math_theses/138

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

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