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You searched for subject:(nearest neighbors). Showing records 1 – 30 of 78 total matches.

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University of Georgia

1. Ahmed, Jaim. Efficient K-nearest neighbor queries using clustering with caching.

Degree: MS, Computer Science, 2009, University of Georgia

 We introduce a new algorithm for K-nearest neighbor queries that uses clustering and caching to improve performance. The main idea is to reduce the distance… (more)

Subjects/Keywords: K-Nearest Neighbors

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

APA (6th Edition):

Ahmed, J. (2009). Efficient K-nearest neighbor queries using clustering with caching. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/ahmed_jaim_200905_ms

Chicago Manual of Style (16th Edition):

Ahmed, Jaim. “Efficient K-nearest neighbor queries using clustering with caching.” 2009. Masters Thesis, University of Georgia. Accessed April 04, 2020. http://purl.galileo.usg.edu/uga_etd/ahmed_jaim_200905_ms.

MLA Handbook (7th Edition):

Ahmed, Jaim. “Efficient K-nearest neighbor queries using clustering with caching.” 2009. Web. 04 Apr 2020.

Vancouver:

Ahmed J. Efficient K-nearest neighbor queries using clustering with caching. [Internet] [Masters thesis]. University of Georgia; 2009. [cited 2020 Apr 04]. Available from: http://purl.galileo.usg.edu/uga_etd/ahmed_jaim_200905_ms.

Council of Science Editors:

Ahmed J. Efficient K-nearest neighbor queries using clustering with caching. [Masters Thesis]. University of Georgia; 2009. Available from: http://purl.galileo.usg.edu/uga_etd/ahmed_jaim_200905_ms


NSYSU

2. Chung, Kuan-I. Dimension Reduction by Non-Negative Matrix Factorization: with Application in Screws' Forging Force Signal Classification.

Degree: Master, Applied Mathematics, 2018, NSYSU

 This thesis investigates the problem of identification of the quality of screws through the data of screws' forging force signals. For each sample, the signals… (more)

Subjects/Keywords: K-nearest neighbors; FPCA; Clustering; control chart

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APA (6th Edition):

Chung, K. (2018). Dimension Reduction by Non-Negative Matrix Factorization: with Application in Screws' Forging Force Signal Classification. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0611118-142958

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):

Chung, Kuan-I. “Dimension Reduction by Non-Negative Matrix Factorization: with Application in Screws' Forging Force Signal Classification.” 2018. Thesis, NSYSU. Accessed April 04, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0611118-142958.

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

MLA Handbook (7th Edition):

Chung, Kuan-I. “Dimension Reduction by Non-Negative Matrix Factorization: with Application in Screws' Forging Force Signal Classification.” 2018. Web. 04 Apr 2020.

Vancouver:

Chung K. Dimension Reduction by Non-Negative Matrix Factorization: with Application in Screws' Forging Force Signal Classification. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Apr 04]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0611118-142958.

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

Council of Science Editors:

Chung K. Dimension Reduction by Non-Negative Matrix Factorization: with Application in Screws' Forging Force Signal Classification. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0611118-142958

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


University of Arizona

3. Li, Zheng. Improving Estimation Accuracy of GPS-Based Arterial Travel Time Using K-Nearest Neighbors Algorithm .

Degree: 2017, University of Arizona

 Link travel time plays a significant role in traffic planning, traffic management and Advanced Traveler Information Systems (ATIS). A public probe vehicle dataset is a… (more)

Subjects/Keywords: k-Nearest Neighbors; Probe Vehicle; Travel Time

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

APA (6th Edition):

Li, Z. (2017). Improving Estimation Accuracy of GPS-Based Arterial Travel Time Using K-Nearest Neighbors Algorithm . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/625901

Chicago Manual of Style (16th Edition):

Li, Zheng. “Improving Estimation Accuracy of GPS-Based Arterial Travel Time Using K-Nearest Neighbors Algorithm .” 2017. Masters Thesis, University of Arizona. Accessed April 04, 2020. http://hdl.handle.net/10150/625901.

MLA Handbook (7th Edition):

Li, Zheng. “Improving Estimation Accuracy of GPS-Based Arterial Travel Time Using K-Nearest Neighbors Algorithm .” 2017. Web. 04 Apr 2020.

Vancouver:

Li Z. Improving Estimation Accuracy of GPS-Based Arterial Travel Time Using K-Nearest Neighbors Algorithm . [Internet] [Masters thesis]. University of Arizona; 2017. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/10150/625901.

Council of Science Editors:

Li Z. Improving Estimation Accuracy of GPS-Based Arterial Travel Time Using K-Nearest Neighbors Algorithm . [Masters Thesis]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/625901


University of California – Riverside

4. Salehian, Shayan. A Pattern Recognition Framework for Embedded Systems.

Degree: Computer Science, 2018, University of California – Riverside

 Embedded systems are small computers dedicated to performing a specific task and can be designed as simple as a temperature controller to a complex medical… (more)

Subjects/Keywords: Computer science; Classification; Embedded systems; Framework; K-nearest neighbors; Pattern recognition

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APA (6th Edition):

Salehian, S. (2018). A Pattern Recognition Framework for Embedded Systems. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/3s43z91m

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):

Salehian, Shayan. “A Pattern Recognition Framework for Embedded Systems.” 2018. Thesis, University of California – Riverside. Accessed April 04, 2020. http://www.escholarship.org/uc/item/3s43z91m.

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

MLA Handbook (7th Edition):

Salehian, Shayan. “A Pattern Recognition Framework for Embedded Systems.” 2018. Web. 04 Apr 2020.

Vancouver:

Salehian S. A Pattern Recognition Framework for Embedded Systems. [Internet] [Thesis]. University of California – Riverside; 2018. [cited 2020 Apr 04]. Available from: http://www.escholarship.org/uc/item/3s43z91m.

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

Council of Science Editors:

Salehian S. A Pattern Recognition Framework for Embedded Systems. [Thesis]. University of California – Riverside; 2018. Available from: http://www.escholarship.org/uc/item/3s43z91m

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


University of Georgia

5. Joshi, Ankita Prashant. Open source distributed spectral clustering.

Degree: MS, Artificial Intelligence, 2017, University of Georgia

 In this thesis, we propose an approximation of the Spectral Clustering algorithm to cluster high-dimensional large datasets. Spectral Clustering is limited in its application as… (more)

Subjects/Keywords: Spectral Clustering; Distributed computing; Apache Spark; Approximate Nearest Neighbors.

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APA (6th Edition):

Joshi, A. P. (2017). Open source distributed spectral clustering. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37798

Chicago Manual of Style (16th Edition):

Joshi, Ankita Prashant. “Open source distributed spectral clustering.” 2017. Masters Thesis, University of Georgia. Accessed April 04, 2020. http://hdl.handle.net/10724/37798.

MLA Handbook (7th Edition):

Joshi, Ankita Prashant. “Open source distributed spectral clustering.” 2017. Web. 04 Apr 2020.

Vancouver:

Joshi AP. Open source distributed spectral clustering. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/10724/37798.

Council of Science Editors:

Joshi AP. Open source distributed spectral clustering. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37798


University of Arizona

6. Fisher, Julia Marie. Classification Analytics in Functional Neuroimaging: Calibrating Signal Detection Parameters .

Degree: 2015, University of Arizona

 Classification analyses are a promising way to localize signal, especially scattered signal, in functional magnetic resonance imaging data. However, there is not yet a consensus… (more)

Subjects/Keywords: clustering; fMRI; k-Nearest Neighbors; simulation; Statistics; classification

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APA (6th Edition):

Fisher, J. M. (2015). Classification Analytics in Functional Neuroimaging: Calibrating Signal Detection Parameters . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/594646

Chicago Manual of Style (16th Edition):

Fisher, Julia Marie. “Classification Analytics in Functional Neuroimaging: Calibrating Signal Detection Parameters .” 2015. Masters Thesis, University of Arizona. Accessed April 04, 2020. http://hdl.handle.net/10150/594646.

MLA Handbook (7th Edition):

Fisher, Julia Marie. “Classification Analytics in Functional Neuroimaging: Calibrating Signal Detection Parameters .” 2015. Web. 04 Apr 2020.

Vancouver:

Fisher JM. Classification Analytics in Functional Neuroimaging: Calibrating Signal Detection Parameters . [Internet] [Masters thesis]. University of Arizona; 2015. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/10150/594646.

Council of Science Editors:

Fisher JM. Classification Analytics in Functional Neuroimaging: Calibrating Signal Detection Parameters . [Masters Thesis]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/594646


University of New South Wales

7. Lin, Qianlu. Efficient Location Aware Spatial Query.

Degree: Computer Science & Engineering, 2013, University of New South Wales

 With the emergence of location-aware mobile device technologies, communication technologies and GPS systems, location-aware queries have attracted great attentions in many important applications such as… (more)

Subjects/Keywords: Location-aware mobile device technologies; GPS systems; K nearest neighbors (kNN); Reverse nearest neighbor (RNN); Spacial databases

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APA (6th Edition):

Lin, Q. (2013). Efficient Location Aware Spatial Query. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52568 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11241/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Lin, Qianlu. “Efficient Location Aware Spatial Query.” 2013. Doctoral Dissertation, University of New South Wales. Accessed April 04, 2020. http://handle.unsw.edu.au/1959.4/52568 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11241/SOURCE01?view=true.

MLA Handbook (7th Edition):

Lin, Qianlu. “Efficient Location Aware Spatial Query.” 2013. Web. 04 Apr 2020.

Vancouver:

Lin Q. Efficient Location Aware Spatial Query. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2020 Apr 04]. Available from: http://handle.unsw.edu.au/1959.4/52568 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11241/SOURCE01?view=true.

Council of Science Editors:

Lin Q. Efficient Location Aware Spatial Query. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/52568 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11241/SOURCE01?view=true


Brno University of Technology

8. Kůrková, Pavla. Vyhodnocování rozpoznávání obrazu .

Degree: 2010, Brno University of Technology

 Práce se zabývá způsoby rozpoznávání obrazu a moţnostmi jejich vyhodnocování. Součástí je návrh a implementace metody porovnání vlivu předzpracování na vybrané algoritmy rozpoznávání obrazu. Metoda… (more)

Subjects/Keywords: rozpoznávání obrazu; statistické klasifikátory; AdaBoost; SVM; lineární klasifikátor; k-nearest neighbors; image recognition; statistical classifiers; AdaBoost; SVM; linear classifier; k-Nearest Neighbors

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

APA (6th Edition):

Kůrková, P. (2010). Vyhodnocování rozpoznávání obrazu . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55947

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):

Kůrková, Pavla. “Vyhodnocování rozpoznávání obrazu .” 2010. Thesis, Brno University of Technology. Accessed April 04, 2020. http://hdl.handle.net/11012/55947.

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

MLA Handbook (7th Edition):

Kůrková, Pavla. “Vyhodnocování rozpoznávání obrazu .” 2010. Web. 04 Apr 2020.

Vancouver:

Kůrková P. Vyhodnocování rozpoznávání obrazu . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11012/55947.

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

Council of Science Editors:

Kůrková P. Vyhodnocování rozpoznávání obrazu . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/55947

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


Brno University of Technology

9. Hujňák, Ondřej. Systém pro rozpoznávání APT útoků .

Degree: 2016, Brno University of Technology

 Práce se zabývá APT útoky, což jsou cílené a profesionálně vedené útoky vyznačující se dlouhou dobou trvání s využitím pokročilých technik. Práce shrnuje dosavadní znalosti… (more)

Subjects/Keywords: APT útok; monitorování síťového provozu; behaviorální analýza; NBA; detekce anomálií; nearest neighbors; k-NN; APT attack; network monitoring; behavioral analysis; NBA; outlier detection; nearest neighbors; k-NN

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APA (6th Edition):

Hujňák, O. (2016). Systém pro rozpoznávání APT útoků . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/61977

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):

Hujňák, Ondřej. “Systém pro rozpoznávání APT útoků .” 2016. Thesis, Brno University of Technology. Accessed April 04, 2020. http://hdl.handle.net/11012/61977.

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

MLA Handbook (7th Edition):

Hujňák, Ondřej. “Systém pro rozpoznávání APT útoků .” 2016. Web. 04 Apr 2020.

Vancouver:

Hujňák O. Systém pro rozpoznávání APT útoků . [Internet] [Thesis]. Brno University of Technology; 2016. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11012/61977.

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

Council of Science Editors:

Hujňák O. Systém pro rozpoznávání APT útoků . [Thesis]. Brno University of Technology; 2016. Available from: http://hdl.handle.net/11012/61977

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


NSYSU

10. Hong, Meng-Huan. Comparison on Discriminant Analysis Using Logistic Regression and KNN Algorithm Based on Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle.

Degree: Master, Applied Mathematics, 2013, NSYSU

 Many studies in the literature pointed out that systolic and diastolic function of the heart is poor for patients with certain heart diseases relative to… (more)

Subjects/Keywords: gray-scale value; k-nearest neighbors; logistic regression model; multilinear principal component analysis

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APA (6th Edition):

Hong, M. (2013). Comparison on Discriminant Analysis Using Logistic Regression and KNN Algorithm Based on Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0527113-145410

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, Meng-Huan. “Comparison on Discriminant Analysis Using Logistic Regression and KNN Algorithm Based on Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle.” 2013. Thesis, NSYSU. Accessed April 04, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0527113-145410.

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

MLA Handbook (7th Edition):

Hong, Meng-Huan. “Comparison on Discriminant Analysis Using Logistic Regression and KNN Algorithm Based on Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle.” 2013. Web. 04 Apr 2020.

Vancouver:

Hong M. Comparison on Discriminant Analysis Using Logistic Regression and KNN Algorithm Based on Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Apr 04]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0527113-145410.

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

Council of Science Editors:

Hong M. Comparison on Discriminant Analysis Using Logistic Regression and KNN Algorithm Based on Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0527113-145410

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


Kansas State University

11. Tolos, Siti. Nonparametric tests to detect relationship between variables in the presence of heteroscedastic treatment effects.

Degree: PhD, Department of Statistics, 2010, Kansas State University

 Statistical tools to detect nonlinear relationship between variables are commonly needed in various practices. The first part of the dissertation presents a test of independence… (more)

Subjects/Keywords: Dependency measure; k-nearest neighbors; Main covariate effect; Hypothesis testing; Statistics (0463)

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APA (6th Edition):

Tolos, S. (2010). Nonparametric tests to detect relationship between variables in the presence of heteroscedastic treatment effects. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/6760

Chicago Manual of Style (16th Edition):

Tolos, Siti. “Nonparametric tests to detect relationship between variables in the presence of heteroscedastic treatment effects.” 2010. Doctoral Dissertation, Kansas State University. Accessed April 04, 2020. http://hdl.handle.net/2097/6760.

MLA Handbook (7th Edition):

Tolos, Siti. “Nonparametric tests to detect relationship between variables in the presence of heteroscedastic treatment effects.” 2010. Web. 04 Apr 2020.

Vancouver:

Tolos S. Nonparametric tests to detect relationship between variables in the presence of heteroscedastic treatment effects. [Internet] [Doctoral dissertation]. Kansas State University; 2010. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/2097/6760.

Council of Science Editors:

Tolos S. Nonparametric tests to detect relationship between variables in the presence of heteroscedastic treatment effects. [Doctoral Dissertation]. Kansas State University; 2010. Available from: http://hdl.handle.net/2097/6760


East Tennessee State University

12. Williams, Alyssa. Hybrid Recommender Systems via Spectral Learning and a Random Forest.

Degree: MS, Mathematical Sciences, 2019, East Tennessee State University

  We demonstrate spectral learning can be combined with a random forest classifier to produce a hybrid recommender system capable of incorporating meta information. Spectral… (more)

Subjects/Keywords: similarity learning; collaborative filtering; nearest neighbors; Databases and Information Systems; Other Mathematics; Theory and Algorithms

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APA (6th Edition):

Williams, A. (2019). Hybrid Recommender Systems via Spectral Learning and a Random Forest. (Masters Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/3666

Chicago Manual of Style (16th Edition):

Williams, Alyssa. “Hybrid Recommender Systems via Spectral Learning and a Random Forest.” 2019. Masters Thesis, East Tennessee State University. Accessed April 04, 2020. https://dc.etsu.edu/etd/3666.

MLA Handbook (7th Edition):

Williams, Alyssa. “Hybrid Recommender Systems via Spectral Learning and a Random Forest.” 2019. Web. 04 Apr 2020.

Vancouver:

Williams A. Hybrid Recommender Systems via Spectral Learning and a Random Forest. [Internet] [Masters thesis]. East Tennessee State University; 2019. [cited 2020 Apr 04]. Available from: https://dc.etsu.edu/etd/3666.

Council of Science Editors:

Williams A. Hybrid Recommender Systems via Spectral Learning and a Random Forest. [Masters Thesis]. East Tennessee State University; 2019. Available from: https://dc.etsu.edu/etd/3666


KTH

13. Bergholm, Marcus. Disc : Approximative Nearest Neighbor Search using Ellipsoids for Photon Mapping on GPUs.

Degree: Computer Science and Communication (CSC), 2016, KTH

Recent development in Graphics Processing Units (GPUs) has enabled inexpensive high-performance computing for general-purpose applications. The K-Nearest Neighbors problem is widely used in applications… (more)

Subjects/Keywords: photon mapping; k-nearest neighbors; ellipsoid; gpu; parallel; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Bergholm, M. (2016). Disc : Approximative Nearest Neighbor Search using Ellipsoids for Photon Mapping on GPUs. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186502

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):

Bergholm, Marcus. “Disc : Approximative Nearest Neighbor Search using Ellipsoids for Photon Mapping on GPUs.” 2016. Thesis, KTH. Accessed April 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186502.

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

MLA Handbook (7th Edition):

Bergholm, Marcus. “Disc : Approximative Nearest Neighbor Search using Ellipsoids for Photon Mapping on GPUs.” 2016. Web. 04 Apr 2020.

Vancouver:

Bergholm M. Disc : Approximative Nearest Neighbor Search using Ellipsoids for Photon Mapping on GPUs. [Internet] [Thesis]. KTH; 2016. [cited 2020 Apr 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186502.

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

Council of Science Editors:

Bergholm M. Disc : Approximative Nearest Neighbor Search using Ellipsoids for Photon Mapping on GPUs. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186502

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


University of Minnesota

14. Wilson, Barry. Making national forest inventory data relevant for local forest management.

Degree: PhD, Natural Resources Science and Management, 2018, University of Minnesota

 The national forest inventory conducted by the United States Forest Service Forest Inventory and Analysis (FIA) program provides information for strategic level decisions regarding national… (more)

Subjects/Keywords: harmonic regression; k-nearest neighbors; Landsat; national forest inventory; small area estimation; time series

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APA (6th Edition):

Wilson, B. (2018). Making national forest inventory data relevant for local forest management. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/206681

Chicago Manual of Style (16th Edition):

Wilson, Barry. “Making national forest inventory data relevant for local forest management.” 2018. Doctoral Dissertation, University of Minnesota. Accessed April 04, 2020. http://hdl.handle.net/11299/206681.

MLA Handbook (7th Edition):

Wilson, Barry. “Making national forest inventory data relevant for local forest management.” 2018. Web. 04 Apr 2020.

Vancouver:

Wilson B. Making national forest inventory data relevant for local forest management. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11299/206681.

Council of Science Editors:

Wilson B. Making national forest inventory data relevant for local forest management. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/206681


University of Minnesota

15. Cherian, Anoop. Similarity search in visual data.

Degree: PhD, Computer science, 2013, University of Minnesota

 Contemporary times have witnessed a significant increase in the amount of data available on the Internet. Organizing such big data so that it is easily… (more)

Subjects/Keywords: Covariance matrices; Dictionary learning; Dirichlet process; Jensen-bregman logdet divergence; Nearest neighbors; Sparse coding

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

APA (6th Edition):

Cherian, A. (2013). Similarity search in visual data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/144455

Chicago Manual of Style (16th Edition):

Cherian, Anoop. “Similarity search in visual data.” 2013. Doctoral Dissertation, University of Minnesota. Accessed April 04, 2020. http://purl.umn.edu/144455.

MLA Handbook (7th Edition):

Cherian, Anoop. “Similarity search in visual data.” 2013. Web. 04 Apr 2020.

Vancouver:

Cherian A. Similarity search in visual data. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2020 Apr 04]. Available from: http://purl.umn.edu/144455.

Council of Science Editors:

Cherian A. Similarity search in visual data. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://purl.umn.edu/144455


University of Minnesota

16. Anastasiu, David. Algorithms for Constructing Exact Nearest Neighbor Graphs.

Degree: PhD, Computer Science, 2016, University of Minnesota

Nearest neighbor graphs (NNGs) contain the set of closest neighbors, and their similarities, for each of the objects in a set of objects. They are… (more)

Subjects/Keywords: cosine similarity; Extended Jaccard; nearest neighbors; similarity graph construction; similarity search; Tanimoto

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

APA (6th Edition):

Anastasiu, D. (2016). Algorithms for Constructing Exact Nearest Neighbor Graphs. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/190476

Chicago Manual of Style (16th Edition):

Anastasiu, David. “Algorithms for Constructing Exact Nearest Neighbor Graphs.” 2016. Doctoral Dissertation, University of Minnesota. Accessed April 04, 2020. http://hdl.handle.net/11299/190476.

MLA Handbook (7th Edition):

Anastasiu, David. “Algorithms for Constructing Exact Nearest Neighbor Graphs.” 2016. Web. 04 Apr 2020.

Vancouver:

Anastasiu D. Algorithms for Constructing Exact Nearest Neighbor Graphs. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11299/190476.

Council of Science Editors:

Anastasiu D. Algorithms for Constructing Exact Nearest Neighbor Graphs. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/190476


University of South Florida

17. Pai, Chih-Yun. Automatic Pain Assessment from Infants’ Crying Sounds.

Degree: 2016, University of South Florida

 Crying is infants utilize to express their emotional state. It provides the parents and the nurses a criterion to understand infants’ physiology state. Many researchers… (more)

Subjects/Keywords: Whimpering; Vigorous Crying; K-Nearest Neighbors; Random Forests; Least Squares Support Vector Machines; Computer Sciences

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

APA (6th Edition):

Pai, C. (2016). Automatic Pain Assessment from Infants’ Crying Sounds. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/6560

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):

Pai, Chih-Yun. “Automatic Pain Assessment from Infants’ Crying Sounds.” 2016. Thesis, University of South Florida. Accessed April 04, 2020. https://scholarcommons.usf.edu/etd/6560.

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

MLA Handbook (7th Edition):

Pai, Chih-Yun. “Automatic Pain Assessment from Infants’ Crying Sounds.” 2016. Web. 04 Apr 2020.

Vancouver:

Pai C. Automatic Pain Assessment from Infants’ Crying Sounds. [Internet] [Thesis]. University of South Florida; 2016. [cited 2020 Apr 04]. Available from: https://scholarcommons.usf.edu/etd/6560.

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

Council of Science Editors:

Pai C. Automatic Pain Assessment from Infants’ Crying Sounds. [Thesis]. University of South Florida; 2016. Available from: https://scholarcommons.usf.edu/etd/6560

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

18. Bernardina, Philipe Dalla. PCA-tree: uma proposta para indexação multidimensional.

Degree: Mestrado, Ciência da Computação, 2007, University of São Paulo

Com o vislumbramento de aplicações que exigiam representações em espaços multidimensionais, surgiu a necessidade de desenvolvimento de métodos de acessos eficientes a estes dados representados… (more)

Subjects/Keywords: indexação; indexing; métodos de acessos espaciais; métodos de acessos multidimensionais; mutidimensional access methods; nearest neighbors classifier; spatial access methods

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

APA (6th Edition):

Bernardina, P. D. (2007). PCA-tree: uma proposta para indexação multidimensional. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-29082007-114522/ ;

Chicago Manual of Style (16th Edition):

Bernardina, Philipe Dalla. “PCA-tree: uma proposta para indexação multidimensional.” 2007. Masters Thesis, University of São Paulo. Accessed April 04, 2020. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-29082007-114522/ ;.

MLA Handbook (7th Edition):

Bernardina, Philipe Dalla. “PCA-tree: uma proposta para indexação multidimensional.” 2007. Web. 04 Apr 2020.

Vancouver:

Bernardina PD. PCA-tree: uma proposta para indexação multidimensional. [Internet] [Masters thesis]. University of São Paulo; 2007. [cited 2020 Apr 04]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-29082007-114522/ ;.

Council of Science Editors:

Bernardina PD. PCA-tree: uma proposta para indexação multidimensional. [Masters Thesis]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-29082007-114522/ ;


Texas A&M University

19. Restrepo, Carolina 1982-. An Analysis Tool for Flight Dynamics Monte Carlo Simulations.

Degree: 2011, Texas A&M University

 Spacecraft design is inherently difficult due to the nonlinearity of the systems involved as well as the expense of testing hardware in a realistic environment.… (more)

Subjects/Keywords: spacecraft design; nearest neighbors; kernel density estimation; guidance, navigation, and control; pattern recognition; data analysis; Monte Carlo simulation

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

APA (6th Edition):

Restrepo, C. 1. (2011). An Analysis Tool for Flight Dynamics Monte Carlo Simulations. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/150935

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):

Restrepo, Carolina 1982-. “An Analysis Tool for Flight Dynamics Monte Carlo Simulations.” 2011. Thesis, Texas A&M University. Accessed April 04, 2020. http://hdl.handle.net/1969.1/150935.

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

MLA Handbook (7th Edition):

Restrepo, Carolina 1982-. “An Analysis Tool for Flight Dynamics Monte Carlo Simulations.” 2011. Web. 04 Apr 2020.

Vancouver:

Restrepo C1. An Analysis Tool for Flight Dynamics Monte Carlo Simulations. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1969.1/150935.

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

Council of Science Editors:

Restrepo C1. An Analysis Tool for Flight Dynamics Monte Carlo Simulations. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/150935

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


University of Cincinnati

20. Young, Barrington R. St. A. Efficient Algorithms for Data Mining with Federated Databases.

Degree: PhD, Engineering : Computer Science, 2007, University of Cincinnati

 The internet era and high speed networks have ushered in the capabilities to have ready access to large amounts of geographically distributed data. Individuals, businesses,… (more)

Subjects/Keywords: Computer Science; Federated database; Vertical partition; Arbitrary attribute overlap; Covariance Matrix; k-Nearest Neighbors; Euclidean distance; Cluster

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

APA (6th Edition):

Young, B. R. S. A. (2007). Efficient Algorithms for Data Mining with Federated Databases. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1179332091

Chicago Manual of Style (16th Edition):

Young, Barrington R St A. “Efficient Algorithms for Data Mining with Federated Databases.” 2007. Doctoral Dissertation, University of Cincinnati. Accessed April 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1179332091.

MLA Handbook (7th Edition):

Young, Barrington R St A. “Efficient Algorithms for Data Mining with Federated Databases.” 2007. Web. 04 Apr 2020.

Vancouver:

Young BRSA. Efficient Algorithms for Data Mining with Federated Databases. [Internet] [Doctoral dissertation]. University of Cincinnati; 2007. [cited 2020 Apr 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1179332091.

Council of Science Editors:

Young BRSA. Efficient Algorithms for Data Mining with Federated Databases. [Doctoral Dissertation]. University of Cincinnati; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1179332091


University of Louisville

21. Reid, Graham. Landmine detection using semi-supervised learning.

Degree: MS, 2018, University of Louisville

  Landmine detection is imperative for the preservation of both military and civilian lives. While landmines are easy to place, they are relatively difficult to… (more)

Subjects/Keywords: label propagation; machine learning; k-nearest neighbors; landmine detection; edge histogram descriptors; fuzzy logic; Computational Engineering

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

APA (6th Edition):

Reid, G. (2018). Landmine detection using semi-supervised learning. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/3132 ; https://ir.library.louisville.edu/etd/3132

Chicago Manual of Style (16th Edition):

Reid, Graham. “Landmine detection using semi-supervised learning.” 2018. Masters Thesis, University of Louisville. Accessed April 04, 2020. 10.18297/etd/3132 ; https://ir.library.louisville.edu/etd/3132.

MLA Handbook (7th Edition):

Reid, Graham. “Landmine detection using semi-supervised learning.” 2018. Web. 04 Apr 2020.

Vancouver:

Reid G. Landmine detection using semi-supervised learning. [Internet] [Masters thesis]. University of Louisville; 2018. [cited 2020 Apr 04]. Available from: 10.18297/etd/3132 ; https://ir.library.louisville.edu/etd/3132.

Council of Science Editors:

Reid G. Landmine detection using semi-supervised learning. [Masters Thesis]. University of Louisville; 2018. Available from: 10.18297/etd/3132 ; https://ir.library.louisville.edu/etd/3132


University of Debrecen

22. László, Zsolt. k Nearest Neighbors classifier with sampling dependent decision rules .

Degree: DE – Informatikai Kar, University of Debrecen

 The k Nearest Neighbors (kNN) method is a widely used technique to solve classification or regression problems in machine learning and data science. Compared to… (more)

Subjects/Keywords: kNN; k Nearest Neighbors; imbalanced sampling; classification

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

APA (6th Edition):

László, Z. (n.d.). k Nearest Neighbors classifier with sampling dependent decision rules . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/238881

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

Chicago Manual of Style (16th Edition):

László, Zsolt. “k Nearest Neighbors classifier with sampling dependent decision rules .” Thesis, University of Debrecen. Accessed April 04, 2020. http://hdl.handle.net/2437/238881.

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

MLA Handbook (7th Edition):

László, Zsolt. “k Nearest Neighbors classifier with sampling dependent decision rules .” Web. 04 Apr 2020.

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

Vancouver:

László Z. k Nearest Neighbors classifier with sampling dependent decision rules . [Internet] [Thesis]. University of Debrecen; [cited 2020 Apr 04]. Available from: http://hdl.handle.net/2437/238881.

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

Council of Science Editors:

László Z. k Nearest Neighbors classifier with sampling dependent decision rules . [Thesis]. University of Debrecen; Available from: http://hdl.handle.net/2437/238881

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


University of Ottawa

23. Baggu, Gnanesh. Efficient Approach for Order Selection of Projection-Based Model Order Reduction .

Degree: 2018, University of Ottawa

 The present thrust in the electronics industry towards integrating multiple functions on a single chip while operating at very high frequencies has highlighted the need… (more)

Subjects/Keywords: Model Order Reduction; Projection-based techniques; Order Selection; False Nearest Neighbors; Numerical Inversion of Lapalce Transform; Impulse response; Butterworth filter

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

APA (6th Edition):

Baggu, G. (2018). Efficient Approach for Order Selection of Projection-Based Model Order Reduction . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/37967

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):

Baggu, Gnanesh. “Efficient Approach for Order Selection of Projection-Based Model Order Reduction .” 2018. Thesis, University of Ottawa. Accessed April 04, 2020. http://hdl.handle.net/10393/37967.

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

MLA Handbook (7th Edition):

Baggu, Gnanesh. “Efficient Approach for Order Selection of Projection-Based Model Order Reduction .” 2018. Web. 04 Apr 2020.

Vancouver:

Baggu G. Efficient Approach for Order Selection of Projection-Based Model Order Reduction . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/10393/37967.

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

Council of Science Editors:

Baggu G. Efficient Approach for Order Selection of Projection-Based Model Order Reduction . [Thesis]. University of Ottawa; 2018. Available from: http://hdl.handle.net/10393/37967

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


University of New South Wales

24. Cheema, Muhammad Aamir. Efficient processing of proximity based spatial queries.

Degree: Computer Science & Engineering, 2011, University of New South Wales

 Spatial databases play a vital role in many applications such as Geographic InformationSystems (GIS), Computer Aided Design (CAD), Very-Large-Scale Integration (VLSI)designs, Multimedia Information System (MMIS),… (more)

Subjects/Keywords: Probabilistic Queries; Spatial Queries; Continuous Queries; Spatial databases; RkNN; Reverse nearest neighbors; Range queries; Closest pairs

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

APA (6th Edition):

Cheema, M. A. (2011). Efficient processing of proximity based spatial queries. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51474 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10161/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Cheema, Muhammad Aamir. “Efficient processing of proximity based spatial queries.” 2011. Doctoral Dissertation, University of New South Wales. Accessed April 04, 2020. http://handle.unsw.edu.au/1959.4/51474 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10161/SOURCE02?view=true.

MLA Handbook (7th Edition):

Cheema, Muhammad Aamir. “Efficient processing of proximity based spatial queries.” 2011. Web. 04 Apr 2020.

Vancouver:

Cheema MA. Efficient processing of proximity based spatial queries. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2020 Apr 04]. Available from: http://handle.unsw.edu.au/1959.4/51474 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10161/SOURCE02?view=true.

Council of Science Editors:

Cheema MA. Efficient processing of proximity based spatial queries. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/51474 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10161/SOURCE02?view=true


University of Western Ontario

25. Jaradat, Abdelkareem M. Classifying Appliances Operation Modes Using Dynamic Time Warping (DTW) And K Nearest Neighbors (KNN).

Degree: 2019, University of Western Ontario

 In the Smart Grid environment, the advent of intelligent measuring devices facilitates monitoring appliance electricity consumption. This data can be used in applying Demand Response… (more)

Subjects/Keywords: Dynamic Time Warping; DTW; K-nearest Neighbors; Smart Systems; Time-Series Analysis; Smart Grid; Other Computer Engineering; Signal Processing

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

APA (6th Edition):

Jaradat, A. M. (2019). Classifying Appliances Operation Modes Using Dynamic Time Warping (DTW) And K Nearest Neighbors (KNN). (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/6479

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):

Jaradat, Abdelkareem M. “Classifying Appliances Operation Modes Using Dynamic Time Warping (DTW) And K Nearest Neighbors (KNN).” 2019. Thesis, University of Western Ontario. Accessed April 04, 2020. https://ir.lib.uwo.ca/etd/6479.

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

MLA Handbook (7th Edition):

Jaradat, Abdelkareem M. “Classifying Appliances Operation Modes Using Dynamic Time Warping (DTW) And K Nearest Neighbors (KNN).” 2019. Web. 04 Apr 2020.

Vancouver:

Jaradat AM. Classifying Appliances Operation Modes Using Dynamic Time Warping (DTW) And K Nearest Neighbors (KNN). [Internet] [Thesis]. University of Western Ontario; 2019. [cited 2020 Apr 04]. Available from: https://ir.lib.uwo.ca/etd/6479.

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

Council of Science Editors:

Jaradat AM. Classifying Appliances Operation Modes Using Dynamic Time Warping (DTW) And K Nearest Neighbors (KNN). [Thesis]. University of Western Ontario; 2019. Available from: https://ir.lib.uwo.ca/etd/6479

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


California State University – Northridge

26. Kalia, Pareen. Inverse probability weighted nearest neighbor multivariate two-sample test.

Degree: MS, Department of Mathematics., 1, California State University – Northridge

 A new test statistic is proposed for the general multivariate two-sample problem using an inverse probability weighted statistic involving the numbers of -nearest neighbor comparisons… (more)

Subjects/Keywords: k nearest neighbors; Dissertations, Academic  – CSUN  – Mathematics.

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

APA (6th Edition):

Kalia, P. (1). Inverse probability weighted nearest neighbor multivariate two-sample test. (Masters Thesis). California State University – Northridge. Retrieved from http://hdl.handle.net/10211.3/199755

Chicago Manual of Style (16th Edition):

Kalia, Pareen. “Inverse probability weighted nearest neighbor multivariate two-sample test.” 1. Masters Thesis, California State University – Northridge. Accessed April 04, 2020. http://hdl.handle.net/10211.3/199755.

MLA Handbook (7th Edition):

Kalia, Pareen. “Inverse probability weighted nearest neighbor multivariate two-sample test.” 1. Web. 04 Apr 2020.

Vancouver:

Kalia P. Inverse probability weighted nearest neighbor multivariate two-sample test. [Internet] [Masters thesis]. California State University – Northridge; 1. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/10211.3/199755.

Council of Science Editors:

Kalia P. Inverse probability weighted nearest neighbor multivariate two-sample test. [Masters Thesis]. California State University – Northridge; 1. Available from: http://hdl.handle.net/10211.3/199755


George Mason University

27. Etemadyrad, Negar. A Sequential Detection Approach to Indoor Positioning Using RSS-Based Fingerprinting .

Degree: George Mason University

 Indoor positioning has received significant research and commercial attention during the past two decades. Real world applications include navigating in hospitals, office buildings, warehouses, and… (more)

Subjects/Keywords: indoor positioning; localization; RSS fingerprinting; k-nearest neighbors

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

APA (6th Edition):

Etemadyrad, N. (n.d.). A Sequential Detection Approach to Indoor Positioning Using RSS-Based Fingerprinting . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/10788

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

Chicago Manual of Style (16th Edition):

Etemadyrad, Negar. “A Sequential Detection Approach to Indoor Positioning Using RSS-Based Fingerprinting .” Thesis, George Mason University. Accessed April 04, 2020. http://hdl.handle.net/1920/10788.

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

MLA Handbook (7th Edition):

Etemadyrad, Negar. “A Sequential Detection Approach to Indoor Positioning Using RSS-Based Fingerprinting .” Web. 04 Apr 2020.

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

Vancouver:

Etemadyrad N. A Sequential Detection Approach to Indoor Positioning Using RSS-Based Fingerprinting . [Internet] [Thesis]. George Mason University; [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1920/10788.

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

Council of Science Editors:

Etemadyrad N. A Sequential Detection Approach to Indoor Positioning Using RSS-Based Fingerprinting . [Thesis]. George Mason University; Available from: http://hdl.handle.net/1920/10788

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


Georgia State University

28. Huang, Haitao. Spatial Analysis of Retinal Pigment Epithelium Morphology.

Degree: MS, Mathematics and Statistics, 2016, Georgia State University

  In patients with age-related macular degeneration, a monolayer of cells in the eyes called retinal pigment epithelium differ from healthy ones in morphology. It… (more)

Subjects/Keywords: Retinal pigment epithelium; Age-related macular degeneration; Cell morphometric data; Spatial analysis; k-Nearest Neighbors algorithm; Classification

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

APA (6th Edition):

Huang, H. (2016). Spatial Analysis of Retinal Pigment Epithelium Morphology. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/153

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):

Huang, Haitao. “Spatial Analysis of Retinal Pigment Epithelium Morphology.” 2016. Thesis, Georgia State University. Accessed April 04, 2020. https://scholarworks.gsu.edu/math_theses/153.

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

MLA Handbook (7th Edition):

Huang, Haitao. “Spatial Analysis of Retinal Pigment Epithelium Morphology.” 2016. Web. 04 Apr 2020.

Vancouver:

Huang H. Spatial Analysis of Retinal Pigment Epithelium Morphology. [Internet] [Thesis]. Georgia State University; 2016. [cited 2020 Apr 04]. Available from: https://scholarworks.gsu.edu/math_theses/153.

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

Council of Science Editors:

Huang H. Spatial Analysis of Retinal Pigment Epithelium Morphology. [Thesis]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/math_theses/153

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


University of Victoria

29. Rahmati, Zahed. Simple, Faster Kinetic Data Structures.

Degree: Department of Computer Science, 2014, University of Victoria

 Proximity problems and point set embeddability problems are fundamental and well-studied in computational geometry and graph drawing. Examples of such problems that are of particular… (more)

Subjects/Keywords: Kinetic Data Structures; Proximity Problems; Point Set Embedding Problem; Euclidean Minimum Spanning Tree; Closest Pair; All Nearest Neighbors; Reverse k-Nearest Neighbor Queries; Yao Graph; Semi-Yao graph

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

APA (6th Edition):

Rahmati, Z. (2014). Simple, Faster Kinetic Data Structures. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/5627

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):

Rahmati, Zahed. “Simple, Faster Kinetic Data Structures.” 2014. Thesis, University of Victoria. Accessed April 04, 2020. http://hdl.handle.net/1828/5627.

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

MLA Handbook (7th Edition):

Rahmati, Zahed. “Simple, Faster Kinetic Data Structures.” 2014. Web. 04 Apr 2020.

Vancouver:

Rahmati Z. Simple, Faster Kinetic Data Structures. [Internet] [Thesis]. University of Victoria; 2014. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1828/5627.

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

Council of Science Editors:

Rahmati Z. Simple, Faster Kinetic Data Structures. [Thesis]. University of Victoria; 2014. Available from: http://hdl.handle.net/1828/5627

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


Universidade do Porto

30. Silva, Aurélio Filipe de Sousa e. Deteção de extra-sístoles ventriculares.

Degree: 2012, Universidade do Porto

Tese de mestrado integrado. Bioengenharia. Área de Especialização de Engenharia Biomédica. Faculdade de Engenharia. Universidade do Porto. 2012 Advisors/Committee Members: Ferreira, Aníbal João de Sousa, Universidade do Porto. Faculdade de Engenharia.

Subjects/Keywords: Processamento de sinal eletrocardiográfico (ECG); Deteção de complexos QRS; Deteção de Extra-Sístoles Ventriculos (ESV); Support Vector Machines; Kth Nearest-Neighbors Rule; Mit-BIH Arrhythmia Database; Batimentos cardíacos

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

APA (6th Edition):

Silva, A. F. d. S. e. (2012). Deteção de extra-sístoles ventriculares. (Thesis). Universidade do Porto. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/68387

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):

Silva, Aurélio Filipe de Sousa e. “Deteção de extra-sístoles ventriculares.” 2012. Thesis, Universidade do Porto. Accessed April 04, 2020. http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/68387.

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

MLA Handbook (7th Edition):

Silva, Aurélio Filipe de Sousa e. “Deteção de extra-sístoles ventriculares.” 2012. Web. 04 Apr 2020.

Vancouver:

Silva AFdSe. Deteção de extra-sístoles ventriculares. [Internet] [Thesis]. Universidade do Porto; 2012. [cited 2020 Apr 04]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/68387.

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

Council of Science Editors:

Silva AFdSe. Deteção de extra-sístoles ventriculares. [Thesis]. Universidade do Porto; 2012. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/68387

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

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