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- 2011 – 2015 (41)
- 2006 – 2010 (18)

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Universidad de Cantabria

1. Vaerenbergh, Steven van. Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals.

Degree: 2010, Universidad de Cantabria

URL: http://hdl.handle.net/10902/1397

► RESUMEN: En la última década, los métodos kernel (métodos núcleo) han demostrado ser técnicas muy eficaces en la resolución de problemas no lineales. Parte de…
(more)

Subjects/Keywords: Spectral clustering

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

APA (6^{th} Edition):

Vaerenbergh, S. v. (2010). Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals. (Doctoral Dissertation). Universidad de Cantabria. Retrieved from http://hdl.handle.net/10902/1397

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

Vaerenbergh, Steven van. “Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals.” 2010. Doctoral Dissertation, Universidad de Cantabria. Accessed July 14, 2020. http://hdl.handle.net/10902/1397.

MLA Handbook (7^{th} Edition):

Vaerenbergh, Steven van. “Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals.” 2010. Web. 14 Jul 2020.

Vancouver:

Vaerenbergh Sv. Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals. [Internet] [Doctoral dissertation]. Universidad de Cantabria; 2010. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10902/1397.

Council of Science Editors:

Vaerenbergh Sv. Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals. [Doctoral Dissertation]. Universidad de Cantabria; 2010. Available from: http://hdl.handle.net/10902/1397

Rochester Institute of Technology

2.
Green, Nathan S.
Evolutionary *spectral* co-* clustering*.

Degree: Computer Science (GCCIS), 2010, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/673

► The field of mining evolving data is relatively new and evolutionary *clustering* is among the latest in this trend. Presently, there are algorithms for evolutionary…
(more)

Subjects/Keywords: Clustering; Co-clustering; Data mining; Evolving data; Spectral clustering

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

APA (6^{th} Edition):

Green, N. S. (2010). Evolutionary spectral co-clustering. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/673

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

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

Green, Nathan S. “Evolutionary spectral co-clustering.” 2010. Thesis, Rochester Institute of Technology. Accessed July 14, 2020. https://scholarworks.rit.edu/theses/673.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Green, Nathan S. “Evolutionary spectral co-clustering.” 2010. Web. 14 Jul 2020.

Vancouver:

Green NS. Evolutionary spectral co-clustering. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2020 Jul 14]. Available from: https://scholarworks.rit.edu/theses/673.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Green NS. Evolutionary spectral co-clustering. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/673

Not specified: Masters Thesis or Doctoral Dissertation

North Carolina State University

3.
Liu, Ning.
*Spectral**Clustering* for Graphs and Markov Chains.

Degree: PhD, Computer Science, 2010, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/4886

► *Spectral* graph partitioning based on *spectral* theory has become a popular *clustering* method over the last few years. The starting point is the work of…
(more)

Subjects/Keywords: spectral clustering; graph partitioning; markov chains; eigenvalue

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

APA (6^{th} Edition):

Liu, N. (2010). Spectral Clustering for Graphs and Markov Chains. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4886

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

Liu, Ning. “Spectral Clustering for Graphs and Markov Chains.” 2010. Doctoral Dissertation, North Carolina State University. Accessed July 14, 2020. http://www.lib.ncsu.edu/resolver/1840.16/4886.

MLA Handbook (7^{th} Edition):

Liu, Ning. “Spectral Clustering for Graphs and Markov Chains.” 2010. Web. 14 Jul 2020.

Vancouver:

Liu N. Spectral Clustering for Graphs and Markov Chains. [Internet] [Doctoral dissertation]. North Carolina State University; 2010. [cited 2020 Jul 14]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4886.

Council of Science Editors:

Liu N. Spectral Clustering for Graphs and Markov Chains. [Doctoral Dissertation]. North Carolina State University; 2010. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4886

Virginia Tech

4. Bellam, Venkata Pavan Kumar. Efficient Community Detection for Large Scale Networks via Sub-sampling.

Degree: MS, Electrical and Computer Engineering, 2018, Virginia Tech

URL: http://hdl.handle.net/10919/81862

► Many real-world systems can be represented as network-graphs. Some of the networks have an inherent community structure based on interactions. The problem of identifying this…
(more)

Subjects/Keywords: Spectral clustering; Extreme points; Sub-sampling; PABM

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

APA (6^{th} Edition):

Bellam, V. P. K. (2018). Efficient Community Detection for Large Scale Networks via Sub-sampling. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81862

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

Bellam, Venkata Pavan Kumar. “Efficient Community Detection for Large Scale Networks via Sub-sampling.” 2018. Masters Thesis, Virginia Tech. Accessed July 14, 2020. http://hdl.handle.net/10919/81862.

MLA Handbook (7^{th} Edition):

Bellam, Venkata Pavan Kumar. “Efficient Community Detection for Large Scale Networks via Sub-sampling.” 2018. Web. 14 Jul 2020.

Vancouver:

Bellam VPK. Efficient Community Detection for Large Scale Networks via Sub-sampling. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10919/81862.

Council of Science Editors:

Bellam VPK. Efficient Community Detection for Large Scale Networks via Sub-sampling. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81862

University of Illinois – Chicago

5.
Cole, Samuel.
An Iterative *Spectral* Approach to Recovering Planted Partitions.

Degree: 2018, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/22704

► In the planted partition problem, the n vertices of a random graph are partitioned into k "clusters," and edges between vertices in the same cluster…
(more)

Subjects/Keywords: Planted partition; Clustering; Random graphs; Spectral algorithms

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

APA (6^{th} Edition):

Cole, S. (2018). An Iterative Spectral Approach to Recovering Planted Partitions. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22704

Not specified: Masters Thesis or Doctoral Dissertation

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

Cole, Samuel. “An Iterative Spectral Approach to Recovering Planted Partitions.” 2018. Thesis, University of Illinois – Chicago. Accessed July 14, 2020. http://hdl.handle.net/10027/22704.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cole, Samuel. “An Iterative Spectral Approach to Recovering Planted Partitions.” 2018. Web. 14 Jul 2020.

Vancouver:

Cole S. An Iterative Spectral Approach to Recovering Planted Partitions. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10027/22704.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cole S. An Iterative Spectral Approach to Recovering Planted Partitions. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/22704

Not specified: Masters Thesis or Doctoral Dissertation

Virginia Commonwealth University

6.
Cresswell, Kellen Garrison.
* Spectral* methods for the detection and characterization of Topologically Associated Domains.

Degree: PhD, Biostatistics, 2019, Virginia Commonwealth University

URL: https://scholarscompass.vcu.edu/etd/6100

► The three-dimensional (3D) structure of the genome plays a crucial role in gene expression regulation. Chromatin conformation capture technologies (Hi-C) have revealed that the…
(more)

Subjects/Keywords: Genomics; Spectral; Genetics; Biostatistics; Statistical; Clustering; Biostatistics

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

APA (6^{th} Edition):

Cresswell, K. G. (2019). Spectral methods for the detection and characterization of Topologically Associated Domains. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/6100

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

Cresswell, Kellen Garrison. “Spectral methods for the detection and characterization of Topologically Associated Domains.” 2019. Doctoral Dissertation, Virginia Commonwealth University. Accessed July 14, 2020. https://scholarscompass.vcu.edu/etd/6100.

MLA Handbook (7^{th} Edition):

Cresswell, Kellen Garrison. “Spectral methods for the detection and characterization of Topologically Associated Domains.” 2019. Web. 14 Jul 2020.

Vancouver:

Cresswell KG. Spectral methods for the detection and characterization of Topologically Associated Domains. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2019. [cited 2020 Jul 14]. Available from: https://scholarscompass.vcu.edu/etd/6100.

Council of Science Editors:

Cresswell KG. Spectral methods for the detection and characterization of Topologically Associated Domains. [Doctoral Dissertation]. Virginia Commonwealth University; 2019. Available from: https://scholarscompass.vcu.edu/etd/6100

University of Minnesota

7.
Atev, Stefan Emilov.
Using asymmetry in the *spectral* *clustering* of trajectories.

Degree: PhD, 2011, University of Minnesota

URL: http://purl.umn.edu/112921

► Spatial trajectories, for example those of vehicles passing through a traffic intersection, are of interest in many data collection applications since they capture a lot…
(more)

Subjects/Keywords: Asymmetric; Clustering; Spectral; Trajectories; Computer Science

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

APA (6^{th} Edition):

Atev, S. E. (2011). Using asymmetry in the spectral clustering of trajectories. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/112921

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

Atev, Stefan Emilov. “Using asymmetry in the spectral clustering of trajectories.” 2011. Doctoral Dissertation, University of Minnesota. Accessed July 14, 2020. http://purl.umn.edu/112921.

MLA Handbook (7^{th} Edition):

Atev, Stefan Emilov. “Using asymmetry in the spectral clustering of trajectories.” 2011. Web. 14 Jul 2020.

Vancouver:

Atev SE. Using asymmetry in the spectral clustering of trajectories. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2020 Jul 14]. Available from: http://purl.umn.edu/112921.

Council of Science Editors:

Atev SE. Using asymmetry in the spectral clustering of trajectories. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/112921

University of Illinois – Urbana-Champaign

8.
Satpathi, Siddhartha.
Perfect *clustering* from pairwise comparisons.

Degree: MS, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/99229

► We consider a pairwise comparisons model with n users and m items. Each user is shown a few pairs of items, and when a pair…
(more)

Subjects/Keywords: Pairwise comparison; Spectral clustering; Inference; Ranking

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APA (6^{th} Edition):

Satpathi, S. (2017). Perfect clustering from pairwise comparisons. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99229

Not specified: Masters Thesis or Doctoral Dissertation

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

Satpathi, Siddhartha. “Perfect clustering from pairwise comparisons.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed July 14, 2020. http://hdl.handle.net/2142/99229.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Satpathi, Siddhartha. “Perfect clustering from pairwise comparisons.” 2017. Web. 14 Jul 2020.

Vancouver:

Satpathi S. Perfect clustering from pairwise comparisons. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/2142/99229.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Satpathi S. Perfect clustering from pairwise comparisons. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99229

Not specified: Masters Thesis or Doctoral Dissertation

Texas Tech University

9. Hill, Jason E. Application of Information Theoretic Unsupervised Learning to Medical Image Analysis.

Degree: 2013, Texas Tech University

URL: http://hdl.handle.net/2346/48865

► Automated segmentation of medical images is a challenging problem. The number of segments in a medical image may be unknown a priori, due to the…
(more)

Subjects/Keywords: Unsupervised learning; Medical images; Spectral clustering.

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

APA (6^{th} Edition):

Hill, J. E. (2013). Application of Information Theoretic Unsupervised Learning to Medical Image Analysis. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/48865

Not specified: Masters Thesis or Doctoral Dissertation

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

Hill, Jason E. “Application of Information Theoretic Unsupervised Learning to Medical Image Analysis.” 2013. Thesis, Texas Tech University. Accessed July 14, 2020. http://hdl.handle.net/2346/48865.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hill, Jason E. “Application of Information Theoretic Unsupervised Learning to Medical Image Analysis.” 2013. Web. 14 Jul 2020.

Vancouver:

Hill JE. Application of Information Theoretic Unsupervised Learning to Medical Image Analysis. [Internet] [Thesis]. Texas Tech University; 2013. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/2346/48865.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hill JE. Application of Information Theoretic Unsupervised Learning to Medical Image Analysis. [Thesis]. Texas Tech University; 2013. Available from: http://hdl.handle.net/2346/48865

Not specified: Masters Thesis or Doctoral Dissertation

Iowa State University

10.
Liu, Sijia.
Novel data *clustering* methods and applications.

Degree: 2011, Iowa State University

URL: https://lib.dr.iastate.edu/etd/10206

► The need to interpret and extract possible inferences from high-dimensional data sets has led over the past decades to the development of dimensionality reduction and…
(more)

Subjects/Keywords: face recognition; fuzzy clustering methods; random walks; spectral clustering; Mathematics

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APA (6^{th} Edition):

Liu, S. (2011). Novel data clustering methods and applications. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/10206

Not specified: Masters Thesis or Doctoral Dissertation

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

Liu, Sijia. “Novel data clustering methods and applications.” 2011. Thesis, Iowa State University. Accessed July 14, 2020. https://lib.dr.iastate.edu/etd/10206.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liu, Sijia. “Novel data clustering methods and applications.” 2011. Web. 14 Jul 2020.

Vancouver:

Liu S. Novel data clustering methods and applications. [Internet] [Thesis]. Iowa State University; 2011. [cited 2020 Jul 14]. Available from: https://lib.dr.iastate.edu/etd/10206.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu S. Novel data clustering methods and applications. [Thesis]. Iowa State University; 2011. Available from: https://lib.dr.iastate.edu/etd/10206

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

11.
Wang, Xu.
Searching, *Clustering* and Regression on non-Euclidean Spaces.

Degree: PhD, Mathematics, 2015, University of Minnesota

URL: http://hdl.handle.net/11299/175554

► This dissertation considers three common tasks (e.g., searching, *clustering*, regression) over Riemannian spaces. The first task considers the problem of efficiently deciding which of a…
(more)

Subjects/Keywords: Bayesian; Clustering; Fast search; Manifold; Nonparametric regression; Spectral clustering

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

APA (6^{th} Edition):

Wang, X. (2015). Searching, Clustering and Regression on non-Euclidean Spaces. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175554

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

Wang, Xu. “Searching, Clustering and Regression on non-Euclidean Spaces.” 2015. Doctoral Dissertation, University of Minnesota. Accessed July 14, 2020. http://hdl.handle.net/11299/175554.

MLA Handbook (7^{th} Edition):

Wang, Xu. “Searching, Clustering and Regression on non-Euclidean Spaces.” 2015. Web. 14 Jul 2020.

Vancouver:

Wang X. Searching, Clustering and Regression on non-Euclidean Spaces. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/11299/175554.

Council of Science Editors:

Wang X. Searching, Clustering and Regression on non-Euclidean Spaces. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175554

Georgia State University

12. Reizer, Gabriella v. Stability Selection of the Number of Clusters.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

URL: https://scholarworks.gsu.edu/math_theses/98

► Selecting the number of clusters is one of the greatest challenges in *clustering* analysis. In this thesis, we propose a variety of stability selection…
(more)

Subjects/Keywords: Consistency; Cross validation; Hierarchical clustering; Instability; k-means clustering; Spectral clustering; Stability; Mathematics

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

APA (6^{th} Edition):

Reizer, G. v. (2011). Stability Selection of the Number of Clusters. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/98

Not specified: Masters Thesis or Doctoral Dissertation

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

Reizer, Gabriella v. “Stability Selection of the Number of Clusters.” 2011. Thesis, Georgia State University. Accessed July 14, 2020. https://scholarworks.gsu.edu/math_theses/98.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Reizer, Gabriella v. “Stability Selection of the Number of Clusters.” 2011. Web. 14 Jul 2020.

Vancouver:

Reizer Gv. Stability Selection of the Number of Clusters. [Internet] [Thesis]. Georgia State University; 2011. [cited 2020 Jul 14]. Available from: https://scholarworks.gsu.edu/math_theses/98.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reizer Gv. Stability Selection of the Number of Clusters. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/98

Not specified: Masters Thesis or Doctoral Dissertation

Universidade Nova

13.
Felizardo, Rui Miguel Meireles.
A study on parallel versus sequential relational fuzzy *clustering* methods.

Degree: 2011, Universidade Nova

URL: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5663

►

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Relational Fuzzy *Clustering* is a recent growing area of study. New algorithms have been developed,as…
(more)

Subjects/Keywords: Relational data; Relational fuzzy clustering; Fuzzy additive spectral clustering; Number of clusters; Validation indices

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

APA (6^{th} Edition):

Felizardo, R. M. M. (2011). A study on parallel versus sequential relational fuzzy clustering methods. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5663

Not specified: Masters Thesis or Doctoral Dissertation

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

Felizardo, Rui Miguel Meireles. “A study on parallel versus sequential relational fuzzy clustering methods.” 2011. Thesis, Universidade Nova. Accessed July 14, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5663.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Felizardo, Rui Miguel Meireles. “A study on parallel versus sequential relational fuzzy clustering methods.” 2011. Web. 14 Jul 2020.

Vancouver:

Felizardo RMM. A study on parallel versus sequential relational fuzzy clustering methods. [Internet] [Thesis]. Universidade Nova; 2011. [cited 2020 Jul 14]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5663.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Felizardo RMM. A study on parallel versus sequential relational fuzzy clustering methods. [Thesis]. Universidade Nova; 2011. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5663

Not specified: Masters Thesis or Doctoral Dissertation

14.
Vuppala, Ranjith Kumar.
*Spectral**Clustering* for Segmentation of Fingerprint Images.

Degree: 2017, , Department of Applied Signal Processing

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824

► Fingerprint recognition systems are one of the oldest biometric recognition systems, which are under constant development. Presence of noise in fingerprint severely affects performance…
(more)

Subjects/Keywords: Segmentation; Clustering; Fingerprints; K-means; Spectral Clustering; Variance; Image gradient; Signal Processing; Signalbehandling

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

APA (6^{th} Edition):

Vuppala, R. K. (2017). Spectral Clustering for Segmentation of Fingerprint Images. (Thesis). , Department of Applied Signal Processing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824

Not specified: Masters Thesis or Doctoral Dissertation

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

Vuppala, Ranjith Kumar. “Spectral Clustering for Segmentation of Fingerprint Images.” 2017. Thesis, , Department of Applied Signal Processing. Accessed July 14, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Vuppala, Ranjith Kumar. “Spectral Clustering for Segmentation of Fingerprint Images.” 2017. Web. 14 Jul 2020.

Vancouver:

Vuppala RK. Spectral Clustering for Segmentation of Fingerprint Images. [Internet] [Thesis]. , Department of Applied Signal Processing; 2017. [cited 2020 Jul 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vuppala RK. Spectral Clustering for Segmentation of Fingerprint Images. [Thesis]. , Department of Applied Signal Processing; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824

Not specified: Masters Thesis or Doctoral Dissertation

Duquesne University

15.
Cotter, Steven.
Improving Search Results with Automated Summarization and Sentence * Clustering*.

Degree: MS, Computational Mathematics, 2012, Duquesne University

URL: https://dsc.duq.edu/etd/434

► Have you ever searched for something on the web and been overloaded with irrelevant results? Many search engines tend to cast a very wide net…
(more)

Subjects/Keywords: Automatic summarization; Extractive summarization; Search engine precision; Sentence clustering; Spectral clustering; TextRank

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

APA (6^{th} Edition):

Cotter, S. (2012). Improving Search Results with Automated Summarization and Sentence Clustering. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/434

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

Cotter, Steven. “Improving Search Results with Automated Summarization and Sentence Clustering.” 2012. Masters Thesis, Duquesne University. Accessed July 14, 2020. https://dsc.duq.edu/etd/434.

MLA Handbook (7^{th} Edition):

Cotter, Steven. “Improving Search Results with Automated Summarization and Sentence Clustering.” 2012. Web. 14 Jul 2020.

Vancouver:

Cotter S. Improving Search Results with Automated Summarization and Sentence Clustering. [Internet] [Masters thesis]. Duquesne University; 2012. [cited 2020 Jul 14]. Available from: https://dsc.duq.edu/etd/434.

Council of Science Editors:

Cotter S. Improving Search Results with Automated Summarization and Sentence Clustering. [Masters Thesis]. Duquesne University; 2012. Available from: https://dsc.duq.edu/etd/434

University of California – Berkeley

16. Schiebinger, Geoffrey. Sparse Inverse Problems: The Mathematics of Precision Measurement.

Degree: Statistics, 2016, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/6w84m619

► The interplay between theory and experiment is the key to progress in the natural sciences. This thesis develops the mathematics of distilling knowledge from measurement.…
(more)

Subjects/Keywords: Statistics; compressed sensing; inverse problem; nonparametric mixtures; sparsity; spectral clustering; superresolution

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

APA (6^{th} Edition):

Schiebinger, G. (2016). Sparse Inverse Problems: The Mathematics of Precision Measurement. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/6w84m619

Not specified: Masters Thesis or Doctoral Dissertation

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

Schiebinger, Geoffrey. “Sparse Inverse Problems: The Mathematics of Precision Measurement.” 2016. Thesis, University of California – Berkeley. Accessed July 14, 2020. http://www.escholarship.org/uc/item/6w84m619.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Schiebinger, Geoffrey. “Sparse Inverse Problems: The Mathematics of Precision Measurement.” 2016. Web. 14 Jul 2020.

Vancouver:

Schiebinger G. Sparse Inverse Problems: The Mathematics of Precision Measurement. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2020 Jul 14]. Available from: http://www.escholarship.org/uc/item/6w84m619.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schiebinger G. Sparse Inverse Problems: The Mathematics of Precision Measurement. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/6w84m619

Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

17. Wang, Jiemin. A Measure of Perceptual Aliasing in Image Descriptors.

Degree: MS, Department of Computing Science, 2013, University of Alberta

URL: https://era.library.ualberta.ca/files/ww72bb89w

► This thesis is concerned with a measure of perceptual aliasing in image descriptors. Perceptual aliasing occurs when the one-to-one mapping relations between world states (objects)…
(more)

Subjects/Keywords: discriminating power; performance metric; spectral clustering; image descriptors; perceptual aliasing

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, J. (2013). A Measure of Perceptual Aliasing in Image Descriptors. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/ww72bb89w

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

Wang, Jiemin. “A Measure of Perceptual Aliasing in Image Descriptors.” 2013. Masters Thesis, University of Alberta. Accessed July 14, 2020. https://era.library.ualberta.ca/files/ww72bb89w.

MLA Handbook (7^{th} Edition):

Wang, Jiemin. “A Measure of Perceptual Aliasing in Image Descriptors.” 2013. Web. 14 Jul 2020.

Vancouver:

Wang J. A Measure of Perceptual Aliasing in Image Descriptors. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2020 Jul 14]. Available from: https://era.library.ualberta.ca/files/ww72bb89w.

Council of Science Editors:

Wang J. A Measure of Perceptual Aliasing in Image Descriptors. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/ww72bb89w

NSYSU

18.
Wu, Fang-chung.
Study on *clustering* of data mining for friendship network.

Degree: Master, Communications Engineering, 2015, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617115-143628

► Social network has obtained remarkable attention for the past few years. Accessing social network sites such as Facebook , LinkedIn and Google+. People are interested…
(more)

Subjects/Keywords: friendship networks; data mining; social network; spectral clustering; cluster analysis

Record Details Similar Records

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

APA (6^{th} Edition):

Wu, F. (2015). Study on clustering of data mining for friendship network. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617115-143628

Not specified: Masters Thesis or Doctoral Dissertation

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

Wu, Fang-chung. “Study on clustering of data mining for friendship network.” 2015. Thesis, NSYSU. Accessed July 14, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617115-143628.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wu, Fang-chung. “Study on clustering of data mining for friendship network.” 2015. Web. 14 Jul 2020.

Vancouver:

Wu F. Study on clustering of data mining for friendship network. [Internet] [Thesis]. NSYSU; 2015. [cited 2020 Jul 14]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617115-143628.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu F. Study on clustering of data mining for friendship network. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617115-143628

Not specified: Masters Thesis or Doctoral Dissertation

University of Georgia

19.
Joshi, Ankita Prashant.
Open source distributed *spectral* * clustering*.

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

URL: http://hdl.handle.net/10724/37798

► 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.

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Joshi, Ankita Prashant. “Open source distributed spectral clustering.” 2017. Masters Thesis, University of Georgia. Accessed July 14, 2020. http://hdl.handle.net/10724/37798.

MLA Handbook (7^{th} Edition):

Joshi, Ankita Prashant. “Open source distributed spectral clustering.” 2017. Web. 14 Jul 2020.

Vancouver:

Joshi AP. Open source distributed spectral clustering. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2020 Jul 14]. 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

Northeastern University

20. Niu, Donglin. Multiple alternative clusterings and dimensionality reduction.

Degree: PhD, Department of Electrical and Computer Engineering, 2012, Northeastern University

URL: http://hdl.handle.net/2047/d20002768

► *Clustering* is the process of grouping objects based on some notion of similarity. It is commonly applied for exploratory data analysis, segmentation, preprocessing and data…
(more)

Subjects/Keywords: Clustering; Numerical Optimization; Spectral Method; Electrical and Computer Engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Niu, D. (2012). Multiple alternative clusterings and dimensionality reduction. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20002768

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

Niu, Donglin. “Multiple alternative clusterings and dimensionality reduction.” 2012. Doctoral Dissertation, Northeastern University. Accessed July 14, 2020. http://hdl.handle.net/2047/d20002768.

MLA Handbook (7^{th} Edition):

Niu, Donglin. “Multiple alternative clusterings and dimensionality reduction.” 2012. Web. 14 Jul 2020.

Vancouver:

Niu D. Multiple alternative clusterings and dimensionality reduction. [Internet] [Doctoral dissertation]. Northeastern University; 2012. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/2047/d20002768.

Council of Science Editors:

Niu D. Multiple alternative clusterings and dimensionality reduction. [Doctoral Dissertation]. Northeastern University; 2012. Available from: http://hdl.handle.net/2047/d20002768

Rice University

21.
Mikesell, Derek Justin.
A *Spectral* Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models.

Degree: MA, Engineering, 2016, Rice University

URL: http://hdl.handle.net/1911/95559

► Given a network G=(V,E), consider the problem of selecting a subset of nodes, A, of a fixed size, k, such that the sum expected walk…
(more)

Subjects/Keywords: Graph Theory; Hitting Set; Consensus Model; Spectral; Clustering

Record Details Similar Records

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

APA (6^{th} Edition):

Mikesell, D. J. (2016). A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/95559

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

Mikesell, Derek Justin. “A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models.” 2016. Masters Thesis, Rice University. Accessed July 14, 2020. http://hdl.handle.net/1911/95559.

MLA Handbook (7^{th} Edition):

Mikesell, Derek Justin. “A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models.” 2016. Web. 14 Jul 2020.

Vancouver:

Mikesell DJ. A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models. [Internet] [Masters thesis]. Rice University; 2016. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/1911/95559.

Council of Science Editors:

Mikesell DJ. A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models. [Masters Thesis]. Rice University; 2016. Available from: http://hdl.handle.net/1911/95559

Rochester Institute of Technology

22. Meinhold, Renee T. Robust Path-based Image Segmentation Using Superpixel Denoising.

Degree: MS, School of Mathematical Sciences (COS), 2018, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/9893

► *Clustering* is the important task of partitioning data into groups with similar characteristics, with one category being *spectral* *clustering* where data points are represented…
(more)

Subjects/Keywords: Image segmentation; Out-of-sample extension; Path-based distance; Spectral clustering

Record Details Similar Records

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APA (6^{th} Edition):

Meinhold, R. T. (2018). Robust Path-based Image Segmentation Using Superpixel Denoising. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9893

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

Meinhold, Renee T. “Robust Path-based Image Segmentation Using Superpixel Denoising.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed July 14, 2020. https://scholarworks.rit.edu/theses/9893.

MLA Handbook (7^{th} Edition):

Meinhold, Renee T. “Robust Path-based Image Segmentation Using Superpixel Denoising.” 2018. Web. 14 Jul 2020.

Vancouver:

Meinhold RT. Robust Path-based Image Segmentation Using Superpixel Denoising. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2020 Jul 14]. Available from: https://scholarworks.rit.edu/theses/9893.

Council of Science Editors:

Meinhold RT. Robust Path-based Image Segmentation Using Superpixel Denoising. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9893

Georgia Tech

23. Fairbanks, James Paul. Graph analysis combining numerical, statistical, and streaming techniques.

Degree: PhD, Computational Science and Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/54972

► Graph analysis uses graph data collected on a physical, biological, or social phenomena to shed light on the underlying dynamics and behavior of the agents…
(more)

Subjects/Keywords: Graph analysis; Graph algorithms; Data analysis; Spectral clustering; Numerical analysis

Record Details Similar Records

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

APA (6^{th} Edition):

Fairbanks, J. P. (2016). Graph analysis combining numerical, statistical, and streaming techniques. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54972

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

Fairbanks, James Paul. “Graph analysis combining numerical, statistical, and streaming techniques.” 2016. Doctoral Dissertation, Georgia Tech. Accessed July 14, 2020. http://hdl.handle.net/1853/54972.

MLA Handbook (7^{th} Edition):

Fairbanks, James Paul. “Graph analysis combining numerical, statistical, and streaming techniques.” 2016. Web. 14 Jul 2020.

Vancouver:

Fairbanks JP. Graph analysis combining numerical, statistical, and streaming techniques. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/1853/54972.

Council of Science Editors:

Fairbanks JP. Graph analysis combining numerical, statistical, and streaming techniques. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/54972

University of Edinburgh

24. Brocklebank, Sean. Inquiry into the nature and causes of individual differences in economics.

Degree: PhD, 2012, University of Edinburgh

URL: http://hdl.handle.net/1842/6281

► The thesis contains four chapters on the structure and predictability of individual differences Chapter 1. Re-analyses data from Holt and Laury's (2002) risk aversion experiments.…
(more)

Subjects/Keywords: 330.015195; personality; big five; FFM; NEO; spectral clustering; social preferences

Record Details Similar Records

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

APA (6^{th} Edition):

Brocklebank, S. (2012). Inquiry into the nature and causes of individual differences in economics. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/6281

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

Brocklebank, Sean. “Inquiry into the nature and causes of individual differences in economics.” 2012. Doctoral Dissertation, University of Edinburgh. Accessed July 14, 2020. http://hdl.handle.net/1842/6281.

MLA Handbook (7^{th} Edition):

Brocklebank, Sean. “Inquiry into the nature and causes of individual differences in economics.” 2012. Web. 14 Jul 2020.

Vancouver:

Brocklebank S. Inquiry into the nature and causes of individual differences in economics. [Internet] [Doctoral dissertation]. University of Edinburgh; 2012. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/1842/6281.

Council of Science Editors:

Brocklebank S. Inquiry into the nature and causes of individual differences in economics. [Doctoral Dissertation]. University of Edinburgh; 2012. Available from: http://hdl.handle.net/1842/6281

25. Åberg, Lina. Machine learning for classifying the early stage of Osteoarthritis based on biological data .

Degree: Chalmers tekniska högskola / Institutionen för fysik, 2020, Chalmers University of Technology

URL: http://hdl.handle.net/20.500.12380/300831

► Osteoarthritis, or OA, is a chronic joint disease and the most common form of arthritis. It is a very common disease in human athletes, but…
(more)

Subjects/Keywords: machine learning; engineering; biomarkers; decision support system; random forest; spectral clustering

Record Details Similar Records

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

APA (6^{th} Edition):

Åberg, L. (2020). Machine learning for classifying the early stage of Osteoarthritis based on biological data . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300831

Not specified: Masters Thesis or Doctoral Dissertation

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

Åberg, Lina. “Machine learning for classifying the early stage of Osteoarthritis based on biological data .” 2020. Thesis, Chalmers University of Technology. Accessed July 14, 2020. http://hdl.handle.net/20.500.12380/300831.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Åberg, Lina. “Machine learning for classifying the early stage of Osteoarthritis based on biological data .” 2020. Web. 14 Jul 2020.

Vancouver:

Åberg L. Machine learning for classifying the early stage of Osteoarthritis based on biological data . [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/20.500.12380/300831.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Åberg L. Machine learning for classifying the early stage of Osteoarthritis based on biological data . [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/300831

Not specified: Masters Thesis or Doctoral Dissertation

26.
Μαυροειδής, Δημήτριος.
Stability of *spectral* learning algorithms: theory, methodologies and applications.

Degree: 2009, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών

URL: http://hdl.handle.net/10442/hedi/17216

► In Data Mining an important research problem is the identification and analysis of theoretical properties that characterize and explain the behavior of learning algorithms. Based…
(more)

Subjects/Keywords: Αλγόριθμοι, Φασματικοί; Συσταδοποίηση; Ευστάθεια φασματικών αλγορίθμων; Ημιεπιβλεπώμενη μάθηση; Επιτάχυνση της μεθόδου δυνάμεων; Συσταδοποίηση, Κατανεμημένη; Spectral algorithms; Spectral clustering; Stability of spectral algorithms; Spectral ordering; Semisupervised spectral clustering; Accelerating the power maethod; Distributed clustering

Record Details Similar Records

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

APA (6^{th} Edition):

Μαυροειδής, . . (2009). Stability of spectral learning algorithms: theory, methodologies and applications. (Thesis). Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Retrieved from http://hdl.handle.net/10442/hedi/17216

Not specified: Masters Thesis or Doctoral Dissertation

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

Μαυροειδής, Δημήτριος. “Stability of spectral learning algorithms: theory, methodologies and applications.” 2009. Thesis, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Accessed July 14, 2020. http://hdl.handle.net/10442/hedi/17216.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Μαυροειδής, Δημήτριος. “Stability of spectral learning algorithms: theory, methodologies and applications.” 2009. Web. 14 Jul 2020.

Vancouver:

Μαυροειδής . Stability of spectral learning algorithms: theory, methodologies and applications. [Internet] [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2009. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10442/hedi/17216.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Μαυροειδής . Stability of spectral learning algorithms: theory, methodologies and applications. [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2009. Available from: http://hdl.handle.net/10442/hedi/17216

Not specified: Masters Thesis or Doctoral Dissertation

KTH

27.
Gustavsson, Hanna.
* Clustering* Based Outlier Detection for Improved Situation Awareness within Air Traffic Control.

Degree: Optimization and Systems Theory, 2019, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264215

►

The aim of this thesis is to examine *clustering* based outlier detection algorithms on their ability to detect abnormal events in flight traffic. A…
(more)

Subjects/Keywords: Applied Mathematics; Clustering; Spectral Clustering; Graph Theory; GMM; Outlier Detection; Tillämpad matematik; Klustering; Spektralklustering; grafteori; GMM; anomalidetektering; Mathematics; Matematik

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Gustavsson, H. (2019). Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264215

Not specified: Masters Thesis or Doctoral Dissertation

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

Gustavsson, Hanna. “Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control.” 2019. Thesis, KTH. Accessed July 14, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264215.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Gustavsson, Hanna. “Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control.” 2019. Web. 14 Jul 2020.

Vancouver:

Gustavsson H. Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control. [Internet] [Thesis]. KTH; 2019. [cited 2020 Jul 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264215.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gustavsson H. Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264215

Not specified: Masters Thesis or Doctoral Dissertation

28. Fender, Alexandre. Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics.

Degree: Docteur es, Informatique, 2017, Université Paris-Saclay (ComUE)

URL: http://www.theses.fr/2017SACLV069

►

Les graphes, ou réseaux, sont des structures mathématiques représentant des relations entre des éléments. Ces systèmes peuvent être analysés dans le but d’extraire des informations… (more)

Subjects/Keywords: Méthodes numériques; Science de données; GPU; Pagerank; Groupement spectral; Parallélisme; Numerical methods,; Data science; GPU; Pagerank; Spectral clustering; Parallelism

Record Details Similar Records

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

APA (6^{th} Edition):

Fender, A. (2017). Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2017SACLV069

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

Fender, Alexandre. “Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics.” 2017. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed July 14, 2020. http://www.theses.fr/2017SACLV069.

MLA Handbook (7^{th} Edition):

Fender, Alexandre. “Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics.” 2017. Web. 14 Jul 2020.

Vancouver:

Fender A. Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2017. [cited 2020 Jul 14]. Available from: http://www.theses.fr/2017SACLV069.

Council of Science Editors:

Fender A. Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2017. Available from: http://www.theses.fr/2017SACLV069

Indian Institute of Science

29.
Pai, Nithish.
A GPU Accelerated Tensor *Spectral* Method for Subspace * Clustering*.

Degree: 2016, Indian Institute of Science

URL: http://etd.iisc.ernet.in/handle/2005/2837 ; http://etd.ncsi.iisc.ernet.in/abstracts/3688/G27278-Abs.pdf

► In this thesis we consider the problem of *clustering* the data lying in a union of subspaces using *spectral* methods. Though the data generated may…
(more)

Subjects/Keywords: Subspace Clustering; Tensors Spectral Method; Hypergraphs and Tensors; Uniform Hypergraph Partitioning Algorithm; Tensor Factorization; Spectral Clustering based Algorithms; GPU Accelerated Algorithm; GPU Computing; Computer Science

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Pai, N. (2016). A GPU Accelerated Tensor Spectral Method for Subspace Clustering. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/2837 ; http://etd.ncsi.iisc.ernet.in/abstracts/3688/G27278-Abs.pdf

Not specified: Masters Thesis or Doctoral Dissertation

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

Pai, Nithish. “A GPU Accelerated Tensor Spectral Method for Subspace Clustering.” 2016. Thesis, Indian Institute of Science. Accessed July 14, 2020. http://etd.iisc.ernet.in/handle/2005/2837 ; http://etd.ncsi.iisc.ernet.in/abstracts/3688/G27278-Abs.pdf.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pai, Nithish. “A GPU Accelerated Tensor Spectral Method for Subspace Clustering.” 2016. Web. 14 Jul 2020.

Vancouver:

Pai N. A GPU Accelerated Tensor Spectral Method for Subspace Clustering. [Internet] [Thesis]. Indian Institute of Science; 2016. [cited 2020 Jul 14]. Available from: http://etd.iisc.ernet.in/handle/2005/2837 ; http://etd.ncsi.iisc.ernet.in/abstracts/3688/G27278-Abs.pdf.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pai N. A GPU Accelerated Tensor Spectral Method for Subspace Clustering. [Thesis]. Indian Institute of Science; 2016. Available from: http://etd.iisc.ernet.in/handle/2005/2837 ; http://etd.ncsi.iisc.ernet.in/abstracts/3688/G27278-Abs.pdf

Not specified: Masters Thesis or Doctoral Dissertation

Indian Institute of Science

30.
Pai, Nithish.
A GPU Accelerated Tensor *Spectral* Method for Subspace * Clustering*.

Degree: 2016, Indian Institute of Science

URL: http://hdl.handle.net/2005/2837

► In this thesis we consider the problem of *clustering* the data lying in a union of subspaces using *spectral* methods. Though the data generated may…
(more)

Subjects/Keywords: Subspace Clustering; Tensors Spectral Method; Hypergraphs and Tensors; Uniform Hypergraph Partitioning Algorithm; Tensor Factorization; Spectral Clustering based Algorithms; GPU Accelerated Algorithm; GPU Computing; Computer Science

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Pai, N. (2016). A GPU Accelerated Tensor Spectral Method for Subspace Clustering. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/2837

Not specified: Masters Thesis or Doctoral Dissertation

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

Pai, Nithish. “A GPU Accelerated Tensor Spectral Method for Subspace Clustering.” 2016. Thesis, Indian Institute of Science. Accessed July 14, 2020. http://hdl.handle.net/2005/2837.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pai, Nithish. “A GPU Accelerated Tensor Spectral Method for Subspace Clustering.” 2016. Web. 14 Jul 2020.

Vancouver:

Pai N. A GPU Accelerated Tensor Spectral Method for Subspace Clustering. [Internet] [Thesis]. Indian Institute of Science; 2016. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/2005/2837.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pai N. A GPU Accelerated Tensor Spectral Method for Subspace Clustering. [Thesis]. Indian Institute of Science; 2016. Available from: http://hdl.handle.net/2005/2837

Not specified: Masters Thesis or Doctoral Dissertation