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You searched for +publisher:"Colorado State University" +contributor:("Peterson, Chris"). Showing records 1 – 30 of 45 total matches.

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Colorado State University

1. Heim, Mark T. Metric thickenings and group actions.

Degree: MS(M.S.), Mathematics, 2020, Colorado State University

 Let G be a group acting properly and by isometries on a metric space X; it follows that the quotient or orbit space X/G is… (more)

Subjects/Keywords: group action; projective space; Cech complex; Vietoris-Rips complex; metric thickening

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APA (6th Edition):

Heim, M. T. (2020). Metric thickenings and group actions. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/208461

Chicago Manual of Style (16th Edition):

Heim, Mark T. “Metric thickenings and group actions.” 2020. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/208461.

MLA Handbook (7th Edition):

Heim, Mark T. “Metric thickenings and group actions.” 2020. Web. 11 Aug 2020.

Vancouver:

Heim MT. Metric thickenings and group actions. [Internet] [Masters thesis]. Colorado State University; 2020. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/208461.

Council of Science Editors:

Heim MT. Metric thickenings and group actions. [Masters Thesis]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/208461


Colorado State University

2. Mankovich, Nathan. Methods for network generation and spectral feature selection: especially on gene expression data.

Degree: MS(M.S.), Mathematics, 2020, Colorado State University

 Feature selection is an essential step in many data analysis pipelines due to its ability to remove unimportant data. We will describe how to realize… (more)

Subjects/Keywords: feature selection; Laplacian; spectral; influenza; centrality; network

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APA (6th Edition):

Mankovich, N. (2020). Methods for network generation and spectral feature selection: especially on gene expression data. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/199775

Chicago Manual of Style (16th Edition):

Mankovich, Nathan. “Methods for network generation and spectral feature selection: especially on gene expression data.” 2020. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/199775.

MLA Handbook (7th Edition):

Mankovich, Nathan. “Methods for network generation and spectral feature selection: especially on gene expression data.” 2020. Web. 11 Aug 2020.

Vancouver:

Mankovich N. Methods for network generation and spectral feature selection: especially on gene expression data. [Internet] [Masters thesis]. Colorado State University; 2020. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/199775.

Council of Science Editors:

Mankovich N. Methods for network generation and spectral feature selection: especially on gene expression data. [Masters Thesis]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/199775


Colorado State University

3. Dutta, Rahul. Video alignment to a common reference.

Degree: MS(M.S.), Computer Science, 2015, Colorado State University

 Handheld videos often include unintentional motion (jitter) and intentional motion (pan and/or zoom). Human viewers prefer to see jitter removed, creating a smoothly moving camera.… (more)

Subjects/Keywords: foreground segmentation; video stabilization; tracking; computer vision

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APA (6th Edition):

Dutta, R. (2015). Video alignment to a common reference. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/166958

Chicago Manual of Style (16th Edition):

Dutta, Rahul. “Video alignment to a common reference.” 2015. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/166958.

MLA Handbook (7th Edition):

Dutta, Rahul. “Video alignment to a common reference.” 2015. Web. 11 Aug 2020.

Vancouver:

Dutta R. Video alignment to a common reference. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/166958.

Council of Science Editors:

Dutta R. Video alignment to a common reference. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/166958


Colorado State University

4. Morrison-Smith, Sarah. Using audio cues to support motion gesture interaction on mobile devices.

Degree: MS(M.S.), Computer Science, 2015, Colorado State University

 Motion gestures are an underutilized input modality for mobile interaction despite numerous potential advantages. Negulescu et al. found that the lack of feedback on attempted… (more)

Subjects/Keywords: human-computer interaction; motion gestures; mobile interaction; audio feedback

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APA (6th Edition):

Morrison-Smith, S. (2015). Using audio cues to support motion gesture interaction on mobile devices. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/166911

Chicago Manual of Style (16th Edition):

Morrison-Smith, Sarah. “Using audio cues to support motion gesture interaction on mobile devices.” 2015. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/166911.

MLA Handbook (7th Edition):

Morrison-Smith, Sarah. “Using audio cues to support motion gesture interaction on mobile devices.” 2015. Web. 11 Aug 2020.

Vancouver:

Morrison-Smith S. Using audio cues to support motion gesture interaction on mobile devices. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/166911.

Council of Science Editors:

Morrison-Smith S. Using audio cues to support motion gesture interaction on mobile devices. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/166911


Colorado State University

5. Arn, Robert T. On the formulation and uses of SVD-based generalized curvatures.

Degree: PhD, Mathematics, 2016, Colorado State University

 In this dissertation we consider the problem of computing generalized curvature values from noisy, discrete data and applications of the provided algorithms. We first establish… (more)

Subjects/Keywords: curvature; time-series; svd; computer vision

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APA (6th Edition):

Arn, R. T. (2016). On the formulation and uses of SVD-based generalized curvatures. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/176673

Chicago Manual of Style (16th Edition):

Arn, Robert T. “On the formulation and uses of SVD-based generalized curvatures.” 2016. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/176673.

MLA Handbook (7th Edition):

Arn, Robert T. “On the formulation and uses of SVD-based generalized curvatures.” 2016. Web. 11 Aug 2020.

Vancouver:

Arn RT. On the formulation and uses of SVD-based generalized curvatures. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/176673.

Council of Science Editors:

Arn RT. On the formulation and uses of SVD-based generalized curvatures. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/176673


Colorado State University

6. Ihde, Steven L. Preconditioning polynomial systems using Macaulay dual spaces.

Degree: PhD, Mathematics, 2015, Colorado State University

 Polynomial systems arise in many applications across a diverse landscape of subjects. Solving these systems has been an area of intense research for many years.… (more)

Subjects/Keywords: dual space; homotopy; algebraic geometry; Macaulay; H-basis

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APA (6th Edition):

Ihde, S. L. (2015). Preconditioning polynomial systems using Macaulay dual spaces. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167183

Chicago Manual of Style (16th Edition):

Ihde, Steven L. “Preconditioning polynomial systems using Macaulay dual spaces.” 2015. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/167183.

MLA Handbook (7th Edition):

Ihde, Steven L. “Preconditioning polynomial systems using Macaulay dual spaces.” 2015. Web. 11 Aug 2020.

Vancouver:

Ihde SL. Preconditioning polynomial systems using Macaulay dual spaces. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/167183.

Council of Science Editors:

Ihde SL. Preconditioning polynomial systems using Macaulay dual spaces. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167183


Colorado State University

7. Chepushtanova, Sofya. Algorithms for feature selection and pattern recognition on Grassmann manifolds.

Degree: PhD, Mathematics, 2015, Colorado State University

 This dissertation presents three distinct application-driven research projects united by ideas and topics from geometric data analysis, optimization, computational topology, and machine learning. We first… (more)

Subjects/Keywords: Grassmann manifold; pattern recognition; sparse support vector machines; hyperspectral imagery; feature selection; persistent homology

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APA (6th Edition):

Chepushtanova, S. (2015). Algorithms for feature selection and pattern recognition on Grassmann manifolds. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167225

Chicago Manual of Style (16th Edition):

Chepushtanova, Sofya. “Algorithms for feature selection and pattern recognition on Grassmann manifolds.” 2015. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/167225.

MLA Handbook (7th Edition):

Chepushtanova, Sofya. “Algorithms for feature selection and pattern recognition on Grassmann manifolds.” 2015. Web. 11 Aug 2020.

Vancouver:

Chepushtanova S. Algorithms for feature selection and pattern recognition on Grassmann manifolds. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/167225.

Council of Science Editors:

Chepushtanova S. Algorithms for feature selection and pattern recognition on Grassmann manifolds. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167225


Colorado State University

8. Hanson, Eric M. Algorithms in numerical algebraic geometry and applications.

Degree: PhD, Mathematics, 2015, Colorado State University

 The topics in this dissertation, while independent, are unified under the field of numerical algebraic geometry. With ties to some of the oldest areas in… (more)

Subjects/Keywords: numerical algebraic geometry

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APA (6th Edition):

Hanson, E. M. (2015). Algorithms in numerical algebraic geometry and applications. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167182

Chicago Manual of Style (16th Edition):

Hanson, Eric M. “Algorithms in numerical algebraic geometry and applications.” 2015. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/167182.

MLA Handbook (7th Edition):

Hanson, Eric M. “Algorithms in numerical algebraic geometry and applications.” 2015. Web. 11 Aug 2020.

Vancouver:

Hanson EM. Algorithms in numerical algebraic geometry and applications. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/167182.

Council of Science Editors:

Hanson EM. Algorithms in numerical algebraic geometry and applications. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167182


Colorado State University

9. Camacho-Navarro, Catalina. Three projects in arithmetic geometry: torsion points and curves of low genus.

Degree: PhD, Mathematics, 2020, Colorado State University

 This paper is an exposition of three different projects in arithmetic geometry. All of them consider problems related to smooth curves with low genus and… (more)

Subjects/Keywords: Cartier point; non-hyperelliptic curve; torsion points; elliptic curve; a-number; p-rank

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APA (6th Edition):

Camacho-Navarro, C. (2020). Three projects in arithmetic geometry: torsion points and curves of low genus. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/199846

Chicago Manual of Style (16th Edition):

Camacho-Navarro, Catalina. “Three projects in arithmetic geometry: torsion points and curves of low genus.” 2020. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/199846.

MLA Handbook (7th Edition):

Camacho-Navarro, Catalina. “Three projects in arithmetic geometry: torsion points and curves of low genus.” 2020. Web. 11 Aug 2020.

Vancouver:

Camacho-Navarro C. Three projects in arithmetic geometry: torsion points and curves of low genus. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/199846.

Council of Science Editors:

Camacho-Navarro C. Three projects in arithmetic geometry: torsion points and curves of low genus. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/199846


Colorado State University

10. Marrinan, Timothy P. Grassmann, Flag, and Schubert varieties in applications.

Degree: PhD, Mathematics, 2017, Colorado State University

 This dissertation develops mathematical tools for signal processing and pattern recognition tasks where data with the same identity is assumed to vary linearly. We build… (more)

Subjects/Keywords: Grassmann manifolds; pattern analysis; singular value decomposition; hyperspectral images; Flag manifolds; Schubert varieties

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APA (6th Edition):

Marrinan, T. P. (2017). Grassmann, Flag, and Schubert varieties in applications. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/181430

Chicago Manual of Style (16th Edition):

Marrinan, Timothy P. “Grassmann, Flag, and Schubert varieties in applications.” 2017. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/181430.

MLA Handbook (7th Edition):

Marrinan, Timothy P. “Grassmann, Flag, and Schubert varieties in applications.” 2017. Web. 11 Aug 2020.

Vancouver:

Marrinan TP. Grassmann, Flag, and Schubert varieties in applications. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/181430.

Council of Science Editors:

Marrinan TP. Grassmann, Flag, and Schubert varieties in applications. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181430


Colorado State University

11. Ashari, Rehab Bahaaddin. EEG subspace analysis and classification using principal angles for brain-computer interfaces.

Degree: PhD, Computer Science, 2015, Colorado State University

 Brain-Computer Interfaces (BCIs) help paralyzed people who have lost some or all of their ability to communicate and control the outside environment from loss of… (more)

Subjects/Keywords: principal angles; brain computer interfaces; subspace

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APA (6th Edition):

Ashari, R. B. (2015). EEG subspace analysis and classification using principal angles for brain-computer interfaces. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167006

Chicago Manual of Style (16th Edition):

Ashari, Rehab Bahaaddin. “EEG subspace analysis and classification using principal angles for brain-computer interfaces.” 2015. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/167006.

MLA Handbook (7th Edition):

Ashari, Rehab Bahaaddin. “EEG subspace analysis and classification using principal angles for brain-computer interfaces.” 2015. Web. 11 Aug 2020.

Vancouver:

Ashari RB. EEG subspace analysis and classification using principal angles for brain-computer interfaces. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/167006.

Council of Science Editors:

Ashari RB. EEG subspace analysis and classification using principal angles for brain-computer interfaces. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167006


Colorado State University

12. Pakrooh, Pooria. Parameter estimation from compressed and sparse measurements.

Degree: PhD, Electrical and Computer Engineering, 2015, Colorado State University

 In this dissertation, the problem of parameter estimation from compressed and sparse noisy measurements is studied. First, fundamental estimation limits of the problem are analyzed.… (more)

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APA (6th Edition):

Pakrooh, P. (2015). Parameter estimation from compressed and sparse measurements. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167122

Chicago Manual of Style (16th Edition):

Pakrooh, Pooria. “Parameter estimation from compressed and sparse measurements.” 2015. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/167122.

MLA Handbook (7th Edition):

Pakrooh, Pooria. “Parameter estimation from compressed and sparse measurements.” 2015. Web. 11 Aug 2020.

Vancouver:

Pakrooh P. Parameter estimation from compressed and sparse measurements. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/167122.

Council of Science Editors:

Pakrooh P. Parameter estimation from compressed and sparse measurements. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167122

13. Davis, Brent R. Numerical algebraic geometry approach to polynomial optimization, The.

Degree: PhD, Mathematics, 2017, Colorado State University

 Numerical algebraic geometry (NAG) consists of a collection of numerical algorithms, based on homotopy continuation, to approximate the solution sets of systems of polynomial equations… (more)

Subjects/Keywords: application; homotopy; optimization; geometry; algebraic; numerical

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APA (6th Edition):

Davis, B. R. (2017). Numerical algebraic geometry approach to polynomial optimization, The. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/183991

Chicago Manual of Style (16th Edition):

Davis, Brent R. “Numerical algebraic geometry approach to polynomial optimization, The.” 2017. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/183991.

MLA Handbook (7th Edition):

Davis, Brent R. “Numerical algebraic geometry approach to polynomial optimization, The.” 2017. Web. 11 Aug 2020.

Vancouver:

Davis BR. Numerical algebraic geometry approach to polynomial optimization, The. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/183991.

Council of Science Editors:

Davis BR. Numerical algebraic geometry approach to polynomial optimization, The. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/183991

14. Besen, David K. Isomorphisms in co-TT graphs.

Degree: MS(M.S.), Computer Science, 2019, Colorado State University

 A threshold tolerance graph is a graph where each vertex v is assigned a weight wv and a tolerance tv, and there is an edge… (more)

Subjects/Keywords: Co-TT graphs; isomorphism; algorithms; threshold tolerance graphs; graph theory

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APA (6th Edition):

Besen, D. K. (2019). Isomorphisms in co-TT graphs. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/195343

Chicago Manual of Style (16th Edition):

Besen, David K. “Isomorphisms in co-TT graphs.” 2019. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/195343.

MLA Handbook (7th Edition):

Besen, David K. “Isomorphisms in co-TT graphs.” 2019. Web. 11 Aug 2020.

Vancouver:

Besen DK. Isomorphisms in co-TT graphs. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/195343.

Council of Science Editors:

Besen DK. Isomorphisms in co-TT graphs. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195343

15. Emerson, Tegan Halley. Geometric data analysis approach to dimension reduction in machine learning and data mining in medical and biological sensing, A.

Degree: PhD, Mathematics, 2017, Colorado State University

 Geometric data analysis seeks to uncover and leverage structure in data for tasks in machine learning when data is visualized as points in some dimensional,… (more)

Subjects/Keywords: dimension reduction; Grassmannian manifold; data mining; machine learning; geometric data analysis

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APA (6th Edition):

Emerson, T. H. (2017). Geometric data analysis approach to dimension reduction in machine learning and data mining in medical and biological sensing, A. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/183941

Chicago Manual of Style (16th Edition):

Emerson, Tegan Halley. “Geometric data analysis approach to dimension reduction in machine learning and data mining in medical and biological sensing, A.” 2017. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/183941.

MLA Handbook (7th Edition):

Emerson, Tegan Halley. “Geometric data analysis approach to dimension reduction in machine learning and data mining in medical and biological sensing, A.” 2017. Web. 11 Aug 2020.

Vancouver:

Emerson TH. Geometric data analysis approach to dimension reduction in machine learning and data mining in medical and biological sensing, A. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/183941.

Council of Science Editors:

Emerson TH. Geometric data analysis approach to dimension reduction in machine learning and data mining in medical and biological sensing, A. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/183941

16. Sharma, Nand. Intersections of ψ classes on Hassett spaces of rational curves.

Degree: PhD, Mathematics, 2018, Colorado State University

 Hassett spaces are moduli spaces of weighted stable pointed curves. In this work, we consider such spaces of curves of genus 0 with weights all… (more)

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APA (6th Edition):

Sharma, N. (2018). Intersections of ψ classes on Hassett spaces of rational curves. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/191317

Chicago Manual of Style (16th Edition):

Sharma, Nand. “Intersections of ψ classes on Hassett spaces of rational curves.” 2018. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/191317.

MLA Handbook (7th Edition):

Sharma, Nand. “Intersections of ψ classes on Hassett spaces of rational curves.” 2018. Web. 11 Aug 2020.

Vancouver:

Sharma N. Intersections of ψ classes on Hassett spaces of rational curves. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/191317.

Council of Science Editors:

Sharma N. Intersections of ψ classes on Hassett spaces of rational curves. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191317

17. Yu, Zhixian. One-shot learning with pretrained convolutional neural network.

Degree: MS(M.S.), Computer Science, 2019, Colorado State University

 Recent progress in convolutional neural networks and deep learning has revolutionized the image classification field, and computers can now classify images with a very high… (more)

Subjects/Keywords: convolutional neural network; image recognition; proximity forest; generalized curvature analysis; approximate nearest neighbor; one-shot learning

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APA (6th Edition):

Yu, Z. (2019). One-shot learning with pretrained convolutional neural network. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/197309

Chicago Manual of Style (16th Edition):

Yu, Zhixian. “One-shot learning with pretrained convolutional neural network.” 2019. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/197309.

MLA Handbook (7th Edition):

Yu, Zhixian. “One-shot learning with pretrained convolutional neural network.” 2019. Web. 11 Aug 2020.

Vancouver:

Yu Z. One-shot learning with pretrained convolutional neural network. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/197309.

Council of Science Editors:

Yu Z. One-shot learning with pretrained convolutional neural network. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197309

18. Wigness, Maggie. Hierarchical cluster guided labeling: efficient label collection for visual classification.

Degree: PhD, Computer Science, 2016, Colorado State University

 Visual classification is a core component in many visually intelligent systems. For example, recognition of objects and terrains provides perception during path planning and navigation… (more)

Subjects/Keywords: concept discovery; efficient label collection; hierarchical clustering; image classification

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APA (6th Edition):

Wigness, M. (2016). Hierarchical cluster guided labeling: efficient label collection for visual classification. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/170415

Chicago Manual of Style (16th Edition):

Wigness, Maggie. “Hierarchical cluster guided labeling: efficient label collection for visual classification.” 2016. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/170415.

MLA Handbook (7th Edition):

Wigness, Maggie. “Hierarchical cluster guided labeling: efficient label collection for visual classification.” 2016. Web. 11 Aug 2020.

Vancouver:

Wigness M. Hierarchical cluster guided labeling: efficient label collection for visual classification. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/170415.

Council of Science Editors:

Wigness M. Hierarchical cluster guided labeling: efficient label collection for visual classification. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/170415

19. Cameron, Karleigh J. FDOA-based passive source localization: a geometric perspective.

Degree: PhD, Mathematics, 2019, Colorado State University

 We consider the problem of passively locating the source of a radio-frequency signal using observations by several sensors. Received signals can be compared to obtain… (more)

Subjects/Keywords: FDOA; passive; signal; frequency; Doppler; polynomial

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APA (6th Edition):

Cameron, K. J. (2019). FDOA-based passive source localization: a geometric perspective. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193165

Chicago Manual of Style (16th Edition):

Cameron, Karleigh J. “FDOA-based passive source localization: a geometric perspective.” 2019. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/193165.

MLA Handbook (7th Edition):

Cameron, Karleigh J. “FDOA-based passive source localization: a geometric perspective.” 2019. Web. 11 Aug 2020.

Vancouver:

Cameron KJ. FDOA-based passive source localization: a geometric perspective. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/193165.

Council of Science Editors:

Cameron KJ. FDOA-based passive source localization: a geometric perspective. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/193165

20. Alotaibi, Saud Saleh. Sentiment analysis in the Arabic language using machine learning.

Degree: PhD, Computer Science, 2015, Colorado State University

 Sentiment analysis has recently become one of the growing areas of research related to natural language processing and machine learning. Much opinion and sentiment about… (more)

Subjects/Keywords: machine learning; sentiment analysis; Arabic sentiment; subjectivity classification; polarity classification

…Translation tOsst jAmς wlAy kwlwrAdw AlHkwmy sn 1870 kkly kwlwrAdw llzrAς Colorado State University… 

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APA (6th Edition):

Alotaibi, S. S. (2015). Sentiment analysis in the Arabic language using machine learning. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167091

Chicago Manual of Style (16th Edition):

Alotaibi, Saud Saleh. “Sentiment analysis in the Arabic language using machine learning.” 2015. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/167091.

MLA Handbook (7th Edition):

Alotaibi, Saud Saleh. “Sentiment analysis in the Arabic language using machine learning.” 2015. Web. 11 Aug 2020.

Vancouver:

Alotaibi SS. Sentiment analysis in the Arabic language using machine learning. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/167091.

Council of Science Editors:

Alotaibi SS. Sentiment analysis in the Arabic language using machine learning. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167091


Colorado State University

21. Arn, Robert T. Object and action detection methods using MOSSE filters.

Degree: MS(M.S.), Mathematics, 2007, Colorado State University

 In this thesis we explore the application of the Minimum Output Sum of Squared Error (MOSSE) filter to object detection in images as well as… (more)

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APA (6th Edition):

Arn, R. T. (2007). Object and action detection methods using MOSSE filters. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/71612

Chicago Manual of Style (16th Edition):

Arn, Robert T. “Object and action detection methods using MOSSE filters.” 2007. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/71612.

MLA Handbook (7th Edition):

Arn, Robert T. “Object and action detection methods using MOSSE filters.” 2007. Web. 11 Aug 2020.

Vancouver:

Arn RT. Object and action detection methods using MOSSE filters. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/71612.

Council of Science Editors:

Arn RT. Object and action detection methods using MOSSE filters. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/71612


Colorado State University

22. Sharma, Nand. Single-trial P300 classification using PCA with LDA and neural networks.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 A brain-computer interface (BCI) is a device that uses brain signals to provide a non-muscular communication channel for motor-impaired patients. It is especially targeted at… (more)

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APA (6th Edition):

Sharma, N. (2007). Single-trial P300 classification using PCA with LDA and neural networks. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/81079

Chicago Manual of Style (16th Edition):

Sharma, Nand. “Single-trial P300 classification using PCA with LDA and neural networks.” 2007. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/81079.

MLA Handbook (7th Edition):

Sharma, Nand. “Single-trial P300 classification using PCA with LDA and neural networks.” 2007. Web. 11 Aug 2020.

Vancouver:

Sharma N. Single-trial P300 classification using PCA with LDA and neural networks. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/81079.

Council of Science Editors:

Sharma N. Single-trial P300 classification using PCA with LDA and neural networks. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/81079


Colorado State University

23. Bayens, Luke. Hyperovals, Laguerre planes and hemisystems - an approach via symmetry.

Degree: PhD, Mathematics, 2007, Colorado State University

 In 1872, Felix Klein proposed the idea that geometry was best thought of as the study of invariants of a group of transformations. This had… (more)

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APA (6th Edition):

Bayens, L. (2007). Hyperovals, Laguerre planes and hemisystems - an approach via symmetry. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/78821

Chicago Manual of Style (16th Edition):

Bayens, Luke. “Hyperovals, Laguerre planes and hemisystems - an approach via symmetry.” 2007. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/78821.

MLA Handbook (7th Edition):

Bayens, Luke. “Hyperovals, Laguerre planes and hemisystems - an approach via symmetry.” 2007. Web. 11 Aug 2020.

Vancouver:

Bayens L. Hyperovals, Laguerre planes and hemisystems - an approach via symmetry. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/78821.

Council of Science Editors:

Bayens L. Hyperovals, Laguerre planes and hemisystems - an approach via symmetry. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/78821


Colorado State University

24. Previte, Corrine. D-neighborhood complex of a graph, The.

Degree: PhD, Mathematics, 2007, Colorado State University

 The Neighborhood complex of a graph, G, is an abstract simplicial complex formed by the subsets of the neighborhoods of all vertices in G. The… (more)

Subjects/Keywords: combinatorics; graph theory; homology; simplicial complex; topology

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APA (6th Edition):

Previte, C. (2007). D-neighborhood complex of a graph, The. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/83806

Chicago Manual of Style (16th Edition):

Previte, Corrine. “D-neighborhood complex of a graph, The.” 2007. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/83806.

MLA Handbook (7th Edition):

Previte, Corrine. “D-neighborhood complex of a graph, The.” 2007. Web. 11 Aug 2020.

Vancouver:

Previte C. D-neighborhood complex of a graph, The. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/83806.

Council of Science Editors:

Previte C. D-neighborhood complex of a graph, The. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/83806


Colorado State University

25. Wigness, Maggie. Evaluating cluster quality for visual data.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 Digital video cameras have made it easy to collect large amounts of unlabeled data that can be used to learn to recognize objects and actions.… (more)

Subjects/Keywords: cluster quality measures; image clustering; computer vision

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APA (6th Edition):

Wigness, M. (2007). Evaluating cluster quality for visual data. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/79204

Chicago Manual of Style (16th Edition):

Wigness, Maggie. “Evaluating cluster quality for visual data.” 2007. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/79204.

MLA Handbook (7th Edition):

Wigness, Maggie. “Evaluating cluster quality for visual data.” 2007. Web. 11 Aug 2020.

Vancouver:

Wigness M. Evaluating cluster quality for visual data. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/79204.

Council of Science Editors:

Wigness M. Evaluating cluster quality for visual data. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/79204


Colorado State University

26. Marrinan, Timothy P. Flag of best fit as a representative for a collection of linear subspaces, The.

Degree: MS(M.S.), Mathematics, 2007, Colorado State University

 This thesis will develop a technique for representing a collection of subspaces with a flag of best fit, and apply it to practical problems within… (more)

Subjects/Keywords: flag manifold; flag mean; Grassmann manifold; Karcher mean; subspace average; SVD

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APA (6th Edition):

Marrinan, T. P. (2007). Flag of best fit as a representative for a collection of linear subspaces, The. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/81042

Chicago Manual of Style (16th Edition):

Marrinan, Timothy P. “Flag of best fit as a representative for a collection of linear subspaces, The.” 2007. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/81042.

MLA Handbook (7th Edition):

Marrinan, Timothy P. “Flag of best fit as a representative for a collection of linear subspaces, The.” 2007. Web. 11 Aug 2020.

Vancouver:

Marrinan TP. Flag of best fit as a representative for a collection of linear subspaces, The. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/81042.

Council of Science Editors:

Marrinan TP. Flag of best fit as a representative for a collection of linear subspaces, The. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/81042


Colorado State University

27. Osnaga, Silvia Monica. Low rank representations of matrices using nuclear norm heuristics.

Degree: PhD, Mathematics, 2007, Colorado State University

 The pursuit of low dimensional structure from high dimensional data leads in many instances to the finding the lowest rank matrix among a parameterized family… (more)

Subjects/Keywords: chromatic number; convex optimization; Euclidean distance matrix completion; graph realizability; positive semidefinite cone

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APA (6th Edition):

Osnaga, S. M. (2007). Low rank representations of matrices using nuclear norm heuristics. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/83799

Chicago Manual of Style (16th Edition):

Osnaga, Silvia Monica. “Low rank representations of matrices using nuclear norm heuristics.” 2007. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/83799.

MLA Handbook (7th Edition):

Osnaga, Silvia Monica. “Low rank representations of matrices using nuclear norm heuristics.” 2007. Web. 11 Aug 2020.

Vancouver:

Osnaga SM. Low rank representations of matrices using nuclear norm heuristics. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/83799.

Council of Science Editors:

Osnaga SM. Low rank representations of matrices using nuclear norm heuristics. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/83799


Colorado State University

28. Narayana Rao Gari, Pradyumna Kumar. Consistent hidden Markov models.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 Activity recognition in Computer Vision involves recognizing the appearance of an object of interest along with its action, and its relation to the scene or… (more)

Subjects/Keywords: computer vision; hidden Markov models; interacting hidden Markov models; natural language; ontology; video activity recognition

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APA (6th Edition):

Narayana Rao Gari, P. K. (2007). Consistent hidden Markov models. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/88582

Chicago Manual of Style (16th Edition):

Narayana Rao Gari, Pradyumna Kumar. “Consistent hidden Markov models.” 2007. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/88582.

MLA Handbook (7th Edition):

Narayana Rao Gari, Pradyumna Kumar. “Consistent hidden Markov models.” 2007. Web. 11 Aug 2020.

Vancouver:

Narayana Rao Gari PK. Consistent hidden Markov models. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/88582.

Council of Science Editors:

Narayana Rao Gari PK. Consistent hidden Markov models. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/88582


Colorado State University

29. Marks, Justin D. Mean variants on matrix manifolds.

Degree: PhD, Mathematics, 2007, Colorado State University

 The geometrically elegant Stiefel and Grassmann manifolds have become organizational tools for data applications, such as illumination spaces for faces in digital photography. Modern data… (more)

Subjects/Keywords: Grassmann; manifold; mean; Stiefel; subspace

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APA (6th Edition):

Marks, J. D. (2007). Mean variants on matrix manifolds. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/71570

Chicago Manual of Style (16th Edition):

Marks, Justin D. “Mean variants on matrix manifolds.” 2007. Doctoral Dissertation, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/71570.

MLA Handbook (7th Edition):

Marks, Justin D. “Mean variants on matrix manifolds.” 2007. Web. 11 Aug 2020.

Vancouver:

Marks JD. Mean variants on matrix manifolds. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/71570.

Council of Science Editors:

Marks JD. Mean variants on matrix manifolds. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/71570


Colorado State University

30. Emerson, Tegan Halley. Automated detection of circulating cells using low level features.

Degree: MS(M.S.), Mathematics, 2007, Colorado State University

 This thesis addresses the problem of detection of high definition circulating tumor cells using data driven feature selection. We propose techniques in pattern analysis and… (more)

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APA (6th Edition):

Emerson, T. H. (2007). Automated detection of circulating cells using low level features. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/80236

Chicago Manual of Style (16th Edition):

Emerson, Tegan Halley. “Automated detection of circulating cells using low level features.” 2007. Masters Thesis, Colorado State University. Accessed August 11, 2020. http://hdl.handle.net/10217/80236.

MLA Handbook (7th Edition):

Emerson, Tegan Halley. “Automated detection of circulating cells using low level features.” 2007. Web. 11 Aug 2020.

Vancouver:

Emerson TH. Automated detection of circulating cells using low level features. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10217/80236.

Council of Science Editors:

Emerson TH. Automated detection of circulating cells using low level features. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/80236

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