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You searched for +publisher:"Colorado State University" +contributor:("Draper, Bruce A. (Bruce Austin), 1962-"). Showing records 1 – 8 of 8 total matches.

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Colorado State University

1. Remington, Jason Michael. Distributed systems in small scale research environments: Hadoop and the EM algorithm.

Degree: MS(M.S.), Computer Science, 2011, Colorado State University

 Distributed systems are widely used in large scale high performance computing environments, and often conjure visions of enormous data centers full of thousands of networked… (more)

Subjects/Keywords: small cluster; distributed systems; EM; expectation maximization; Hadoop

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APA (6th Edition):

Remington, J. M. (2011). Distributed systems in small scale research environments: Hadoop and the EM algorithm. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/46744

Chicago Manual of Style (16th Edition):

Remington, Jason Michael. “Distributed systems in small scale research environments: Hadoop and the EM algorithm.” 2011. Masters Thesis, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/46744.

MLA Handbook (7th Edition):

Remington, Jason Michael. “Distributed systems in small scale research environments: Hadoop and the EM algorithm.” 2011. Web. 27 Feb 2021.

Vancouver:

Remington JM. Distributed systems in small scale research environments: Hadoop and the EM algorithm. [Internet] [Masters thesis]. Colorado State University; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/46744.

Council of Science Editors:

Remington JM. Distributed systems in small scale research environments: Hadoop and the EM algorithm. [Masters Thesis]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/46744


Colorado State University

2. Bolme, David Scott. Theory and applications of optimized correlation output filters.

Degree: PhD, Computer Science, 2011, Colorado State University

 Correlation filters are a standard way to solve many problems in signal processing, image processing, and computer vision. This research introduces two new filter training… (more)

Subjects/Keywords: computer vision; object detection; correlation filters

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APA (6th Edition):

Bolme, D. S. (2011). Theory and applications of optimized correlation output filters. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/47326

Chicago Manual of Style (16th Edition):

Bolme, David Scott. “Theory and applications of optimized correlation output filters.” 2011. Doctoral Dissertation, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/47326.

MLA Handbook (7th Edition):

Bolme, David Scott. “Theory and applications of optimized correlation output filters.” 2011. Web. 27 Feb 2021.

Vancouver:

Bolme DS. Theory and applications of optimized correlation output filters. [Internet] [Doctoral dissertation]. Colorado State University; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/47326.

Council of Science Editors:

Bolme DS. Theory and applications of optimized correlation output filters. [Doctoral Dissertation]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/47326


Colorado State University

3. Stevens, John. Analysis of grating cell features for texture discrimination, An.

Degree: MS(M.S.), Computer Science, 2010, Colorado State University

 The design of artificial vision systems has been influenced by knowledge of the early stages of processing in the human vision system. The discovery of… (more)

Subjects/Keywords: Image analysis; Imaging systems; Computer vision

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APA (6th Edition):

Stevens, J. (2010). Analysis of grating cell features for texture discrimination, An. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/41470

Chicago Manual of Style (16th Edition):

Stevens, John. “Analysis of grating cell features for texture discrimination, An.” 2010. Masters Thesis, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/41470.

MLA Handbook (7th Edition):

Stevens, John. “Analysis of grating cell features for texture discrimination, An.” 2010. Web. 27 Feb 2021.

Vancouver:

Stevens J. Analysis of grating cell features for texture discrimination, An. [Internet] [Masters thesis]. Colorado State University; 2010. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/41470.

Council of Science Editors:

Stevens J. Analysis of grating cell features for texture discrimination, An. [Masters Thesis]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/41470


Colorado State University

4. Comer, Thomson H. Automatic prediction of interest point stability.

Degree: MS(M.S.), Computer Science, 2009, Colorado State University

 Many computer vision applications depend on interest point detectors as a primary means of dimensionality reduction. While many experiments have been done measuring the repeatability… (more)

Subjects/Keywords: Computer vision; Human face recognition (Computer science); Optical pattern recognition

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APA (6th Edition):

Comer, T. H. (2009). Automatic prediction of interest point stability. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/41108

Chicago Manual of Style (16th Edition):

Comer, Thomson H. “Automatic prediction of interest point stability.” 2009. Masters Thesis, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/41108.

MLA Handbook (7th Edition):

Comer, Thomson H. “Automatic prediction of interest point stability.” 2009. Web. 27 Feb 2021.

Vancouver:

Comer TH. Automatic prediction of interest point stability. [Internet] [Masters thesis]. Colorado State University; 2009. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/41108.

Council of Science Editors:

Comer TH. Automatic prediction of interest point stability. [Masters Thesis]. Colorado State University; 2009. Available from: http://hdl.handle.net/10217/41108


Colorado State University

5. Kazeka, Alexander. Visual location awareness for mobile robots using feature-based vision.

Degree: MS(M.S.), Computer Science, 2010, Colorado State University

 This thesis presents an evaluation of feature-based visual recognition paradigm for the task of mobile robot localization. Although many works describe feature-based visual robot localization,… (more)

Subjects/Keywords: Mobile robots; Robot vision; Computer vision

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APA (6th Edition):

Kazeka, A. (2010). Visual location awareness for mobile robots using feature-based vision. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/38186

Chicago Manual of Style (16th Edition):

Kazeka, Alexander. “Visual location awareness for mobile robots using feature-based vision.” 2010. Masters Thesis, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/38186.

MLA Handbook (7th Edition):

Kazeka, Alexander. “Visual location awareness for mobile robots using feature-based vision.” 2010. Web. 27 Feb 2021.

Vancouver:

Kazeka A. Visual location awareness for mobile robots using feature-based vision. [Internet] [Masters thesis]. Colorado State University; 2010. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/38186.

Council of Science Editors:

Kazeka A. Visual location awareness for mobile robots using feature-based vision. [Masters Thesis]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/38186


Colorado State University

6. Lui, Yui Man. Geometric methods on special manifolds for visual recognition.

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

 Many computer vision methods assume that the underlying geometry of images is Euclidean. This assumption is generally not valid. Therefore, this dissertation introduces new nonlinear… (more)

Subjects/Keywords: action classification; visual recognition; special manifolds; geometric methods; face recognition; Human face recognition (Computer science); Grassmann manifolds; Stiefel manifolds

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APA (6th Edition):

Lui, Y. M. (2010). Geometric methods on special manifolds for visual recognition. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/39042

Chicago Manual of Style (16th Edition):

Lui, Yui Man. “Geometric methods on special manifolds for visual recognition.” 2010. Doctoral Dissertation, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/39042.

MLA Handbook (7th Edition):

Lui, Yui Man. “Geometric methods on special manifolds for visual recognition.” 2010. Web. 27 Feb 2021.

Vancouver:

Lui YM. Geometric methods on special manifolds for visual recognition. [Internet] [Doctoral dissertation]. Colorado State University; 2010. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/39042.

Council of Science Editors:

Lui YM. Geometric methods on special manifolds for visual recognition. [Doctoral Dissertation]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/39042


Colorado State University

7. Crawford-Hines, Stewart. Machine learned boundary definitions for an expert's tracing assistant in image processing.

Degree: PhD, Computer Science, 2003, Colorado State University

 Most image processing work addressing boundary definition tasks embeds the assumption that an edge in an image corresponds to the boundary of interest in the… (more)

Subjects/Keywords: visible human imagery; boundary definitions; expert's tracing assistant; ETA; intelligent scissors; IS; active contour models; ACM; boundary-learning system; Image processing; Pattern recognition systems

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APA (6th Edition):

Crawford-Hines, S. (2003). Machine learned boundary definitions for an expert's tracing assistant in image processing. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/28552

Chicago Manual of Style (16th Edition):

Crawford-Hines, Stewart. “Machine learned boundary definitions for an expert's tracing assistant in image processing.” 2003. Doctoral Dissertation, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/28552.

MLA Handbook (7th Edition):

Crawford-Hines, Stewart. “Machine learned boundary definitions for an expert's tracing assistant in image processing.” 2003. Web. 27 Feb 2021.

Vancouver:

Crawford-Hines S. Machine learned boundary definitions for an expert's tracing assistant in image processing. [Internet] [Doctoral dissertation]. Colorado State University; 2003. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/28552.

Council of Science Editors:

Crawford-Hines S. Machine learned boundary definitions for an expert's tracing assistant in image processing. [Doctoral Dissertation]. Colorado State University; 2003. Available from: http://hdl.handle.net/10217/28552


Colorado State University

8. Bush, Keith A. Echo state model of non-Markovian reinforcement learning, An.

Degree: PhD, Computer Science, 2008, Colorado State University

 There exists a growing need for intelligent, autonomous control strategies that operate in real-world domains. Theoretically the state-action space must exhibit the Markov property in… (more)

Subjects/Keywords: reinforcement learning (machine learning); mountain car problem; reinforcement learning; Markovian; echo state network; ESN; fixed point analysis; Hybrid systems

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APA (6th Edition):

Bush, K. A. (2008). Echo state model of non-Markovian reinforcement learning, An. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/28682

Chicago Manual of Style (16th Edition):

Bush, Keith A. “Echo state model of non-Markovian reinforcement learning, An.” 2008. Doctoral Dissertation, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/28682.

MLA Handbook (7th Edition):

Bush, Keith A. “Echo state model of non-Markovian reinforcement learning, An.” 2008. Web. 27 Feb 2021.

Vancouver:

Bush KA. Echo state model of non-Markovian reinforcement learning, An. [Internet] [Doctoral dissertation]. Colorado State University; 2008. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/28682.

Council of Science Editors:

Bush KA. Echo state model of non-Markovian reinforcement learning, An. [Doctoral Dissertation]. Colorado State University; 2008. Available from: http://hdl.handle.net/10217/28682

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