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You searched for +publisher:"University of Michigan" +contributor:("Zhang, Jun"). Showing records 1 – 6 of 6 total matches.

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University of Michigan

1. Wu, Changxu. Queueing Network Modeling of Human Performance and Mental Workload in Perceptual-Motor Tasks.

Degree: PhD, Industrial & Operations Engineering, 2007, University of Michigan

 Integrated with the mathematical modeling approaches, this thesis uses Queuing Network-Model Human Processors (QN-MHP) as a simulation platform to quantify human performance and mental workload… (more)

Subjects/Keywords: Queueing Network; Perceptual-Motor; Human Performance; Mental Workload; Computational Modeling; Cognitive Modeling; Industrial and Operations Engineering; Engineering

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APA (6th Edition):

Wu, C. (2007). Queueing Network Modeling of Human Performance and Mental Workload in Perceptual-Motor Tasks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/55678

Chicago Manual of Style (16th Edition):

Wu, Changxu. “Queueing Network Modeling of Human Performance and Mental Workload in Perceptual-Motor Tasks.” 2007. Doctoral Dissertation, University of Michigan. Accessed September 20, 2020. http://hdl.handle.net/2027.42/55678.

MLA Handbook (7th Edition):

Wu, Changxu. “Queueing Network Modeling of Human Performance and Mental Workload in Perceptual-Motor Tasks.” 2007. Web. 20 Sep 2020.

Vancouver:

Wu C. Queueing Network Modeling of Human Performance and Mental Workload in Perceptual-Motor Tasks. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2027.42/55678.

Council of Science Editors:

Wu C. Queueing Network Modeling of Human Performance and Mental Workload in Perceptual-Motor Tasks. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/55678

2. More, Ajinkya Ajay. Symbolic Powers and other Contractions of Ideals in Noetherian Rings.

Degree: PhD, Mathematics, 2012, University of Michigan

 The results in this thesis are motivated by the following four questions: 1. (Eisenbud-Mazur conjecture): Given a regular local ring (R,m) containing a field of… (more)

Subjects/Keywords: Symbolic Powers, Eisenbud-Mazur Conjecture, Regular Local Ring, Uniform Bounds, Contractions; Mathematics; Science

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APA (6th Edition):

More, A. A. (2012). Symbolic Powers and other Contractions of Ideals in Noetherian Rings. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/94031

Chicago Manual of Style (16th Edition):

More, Ajinkya Ajay. “Symbolic Powers and other Contractions of Ideals in Noetherian Rings.” 2012. Doctoral Dissertation, University of Michigan. Accessed September 20, 2020. http://hdl.handle.net/2027.42/94031.

MLA Handbook (7th Edition):

More, Ajinkya Ajay. “Symbolic Powers and other Contractions of Ideals in Noetherian Rings.” 2012. Web. 20 Sep 2020.

Vancouver:

More AA. Symbolic Powers and other Contractions of Ideals in Noetherian Rings. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2027.42/94031.

Council of Science Editors:

More AA. Symbolic Powers and other Contractions of Ideals in Noetherian Rings. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/94031

3. Yenduri, Praveen Kumar. Sparse Encoding of Signals through Structured Random Sampling.

Degree: PhD, Electrical Engineering-Systems, 2012, University of Michigan

 The novel paradigm of compressive sampling/sensing (CS), which aims to achieve simultaneous acquisition and compression of signals, has received significant research interest in recent years.… (more)

Subjects/Keywords: Structured Random Sampling; Compressive Sensing; Low Power Compressive Sampling Time Based Analog to Digital Converter (ADC); Low Rate Time Encoding Model of an Integrate-and-Fire Neuron; Compressive, Collaborative Spectrum Sensing for Wideband Cognitive Radios; Continuous Resource Efficient Fast Fourier Sampling; Electrical Engineering; Engineering

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APA (6th Edition):

Yenduri, P. K. (2012). Sparse Encoding of Signals through Structured Random Sampling. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/95970

Chicago Manual of Style (16th Edition):

Yenduri, Praveen Kumar. “Sparse Encoding of Signals through Structured Random Sampling.” 2012. Doctoral Dissertation, University of Michigan. Accessed September 20, 2020. http://hdl.handle.net/2027.42/95970.

MLA Handbook (7th Edition):

Yenduri, Praveen Kumar. “Sparse Encoding of Signals through Structured Random Sampling.” 2012. Web. 20 Sep 2020.

Vancouver:

Yenduri PK. Sparse Encoding of Signals through Structured Random Sampling. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2027.42/95970.

Council of Science Editors:

Yenduri PK. Sparse Encoding of Signals through Structured Random Sampling. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/95970

4. Cruz Cortes, Efren. Variable Weight Kernel Density Estimation.

Degree: PhD, Electrical Engineering: Systems, 2017, University of Michigan

 Nonparametric density estimation is a common and important task in many problems in machine learning. It consists in estimating a density function from available observations… (more)

Subjects/Keywords: machine learning; density estimation; reproducing kernel Hilbert space; complexity; sparsity; consistency; Computer Science; Electrical Engineering; Statistics and Numeric Data; Engineering; Science

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APA (6th Edition):

Cruz Cortes, E. (2017). Variable Weight Kernel Density Estimation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138533

Chicago Manual of Style (16th Edition):

Cruz Cortes, Efren. “Variable Weight Kernel Density Estimation.” 2017. Doctoral Dissertation, University of Michigan. Accessed September 20, 2020. http://hdl.handle.net/2027.42/138533.

MLA Handbook (7th Edition):

Cruz Cortes, Efren. “Variable Weight Kernel Density Estimation.” 2017. Web. 20 Sep 2020.

Vancouver:

Cruz Cortes E. Variable Weight Kernel Density Estimation. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2027.42/138533.

Council of Science Editors:

Cruz Cortes E. Variable Weight Kernel Density Estimation. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138533


University of Michigan

5. Jones, Matthew Carl. Temporal information and adaptive rationality.

Degree: PhD, Psychology, 2003, University of Michigan

 This project investigates the role that temporal structure plays in a number of well-studied psychological tasks, with particular attention to recency effects. Recency effects are… (more)

Subjects/Keywords: Adaptive Rationality; Category Learning; Game Theory; Prisoner's Dilemma; Temporal Information; Working Memory

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APA (6th Edition):

Jones, M. C. (2003). Temporal information and adaptive rationality. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/123411

Chicago Manual of Style (16th Edition):

Jones, Matthew Carl. “Temporal information and adaptive rationality.” 2003. Doctoral Dissertation, University of Michigan. Accessed September 20, 2020. http://hdl.handle.net/2027.42/123411.

MLA Handbook (7th Edition):

Jones, Matthew Carl. “Temporal information and adaptive rationality.” 2003. Web. 20 Sep 2020.

Vancouver:

Jones MC. Temporal information and adaptive rationality. [Internet] [Doctoral dissertation]. University of Michigan; 2003. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2027.42/123411.

Council of Science Editors:

Jones MC. Temporal information and adaptive rationality. [Doctoral Dissertation]. University of Michigan; 2003. Available from: http://hdl.handle.net/2027.42/123411


University of Michigan

6. Zhai, Yuanhao. Perceptual Image Similarity Metrics and Applications.

Degree: PhD, Electrical Engineering: Systems, 2015, University of Michigan

 This dissertation presents research in perceptual image similarity metrics and applications, e.g., content-based image retrieval, perceptual image compression, image similarity assessment and texture analysis. The… (more)

Subjects/Keywords: Texture and image similarity metric; Texture and image retrieval; Texture and image classification; Perceptual image compression; Subjective experiment; Bilevel image similarity; Electrical Engineering; Engineering

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

APA (6th Edition):

Zhai, Y. (2015). Perceptual Image Similarity Metrics and Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113586

Chicago Manual of Style (16th Edition):

Zhai, Yuanhao. “Perceptual Image Similarity Metrics and Applications.” 2015. Doctoral Dissertation, University of Michigan. Accessed September 20, 2020. http://hdl.handle.net/2027.42/113586.

MLA Handbook (7th Edition):

Zhai, Yuanhao. “Perceptual Image Similarity Metrics and Applications.” 2015. Web. 20 Sep 2020.

Vancouver:

Zhai Y. Perceptual Image Similarity Metrics and Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2027.42/113586.

Council of Science Editors:

Zhai Y. Perceptual Image Similarity Metrics and Applications. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113586

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