Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"University of Michigan" +contributor:("Gilbert, Anna Catherine"). Showing records 1 – 30 of 40 total matches.

[1] [2]

Search Limiters

Last 2 Years | English Only

▼ Search Limiters


University of Michigan

1. Khalsa, Kimberly A. Temporal Regularization Use in Dynamic Contrast-Enhanced MRI.

Degree: PhD, Biomedical Engineering, 2011, University of Michigan

 Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) studies demand both high spatial and high temporal resolution. We need high spatial resolution to accurately visualize tissue morphology,… (more)

Subjects/Keywords: Image Reconstruction; Regularization; DCE-MRI; Breast Cancer; Biomedical Engineering; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Khalsa, K. A. (2011). Temporal Regularization Use in Dynamic Contrast-Enhanced MRI. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/84566

Chicago Manual of Style (16th Edition):

Khalsa, Kimberly A. “Temporal Regularization Use in Dynamic Contrast-Enhanced MRI.” 2011. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/84566.

MLA Handbook (7th Edition):

Khalsa, Kimberly A. “Temporal Regularization Use in Dynamic Contrast-Enhanced MRI.” 2011. Web. 25 Sep 2020.

Vancouver:

Khalsa KA. Temporal Regularization Use in Dynamic Contrast-Enhanced MRI. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/84566.

Council of Science Editors:

Khalsa KA. Temporal Regularization Use in Dynamic Contrast-Enhanced MRI. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/84566


University of Michigan

2. Su, Hsin-Hao. Algorithms for Fundamental Problems in Computer Networks.

Degree: PhD, Computer Science and Engineering, 2015, University of Michigan

 Traditional studies of algorithms consider the sequential setting, where the whole input data is fed into a single device that computes the solution. Today, the… (more)

Subjects/Keywords: algorithms; distributed computing; graph theory; Computer Science; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Su, H. (2015). Algorithms for Fundamental Problems in Computer Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113540

Chicago Manual of Style (16th Edition):

Su, Hsin-Hao. “Algorithms for Fundamental Problems in Computer Networks.” 2015. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/113540.

MLA Handbook (7th Edition):

Su, Hsin-Hao. “Algorithms for Fundamental Problems in Computer Networks.” 2015. Web. 25 Sep 2020.

Vancouver:

Su H. Algorithms for Fundamental Problems in Computer Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/113540.

Council of Science Editors:

Su H. Algorithms for Fundamental Problems in Computer Networks. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113540


University of Michigan

3. Varma, Umang. A Paucity of Data in Machine Learning: Applications in Single Cell RNA Sequencing and Ranking.

Degree: PhD, Mathematics, 2019, University of Michigan

 A driving force behind the development of machine learning techniques is the availability of vast amounts of data that are continuously generated and the enormous… (more)

Subjects/Keywords: single cell RNA-seq; ranking; machine learning; feature selection; pairwise comparisons; Computer Science; Genetics; Mathematics; Statistics and Numeric Data; Engineering; Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Varma, U. (2019). A Paucity of Data in Machine Learning: Applications in Single Cell RNA Sequencing and Ranking. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153449

Chicago Manual of Style (16th Edition):

Varma, Umang. “A Paucity of Data in Machine Learning: Applications in Single Cell RNA Sequencing and Ranking.” 2019. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/153449.

MLA Handbook (7th Edition):

Varma, Umang. “A Paucity of Data in Machine Learning: Applications in Single Cell RNA Sequencing and Ranking.” 2019. Web. 25 Sep 2020.

Vancouver:

Varma U. A Paucity of Data in Machine Learning: Applications in Single Cell RNA Sequencing and Ranking. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/153449.

Council of Science Editors:

Varma U. A Paucity of Data in Machine Learning: Applications in Single Cell RNA Sequencing and Ranking. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153449


University of Michigan

4. McMillan, Audra. Differential Privacy, Property Testing, and Perturbations.

Degree: PhD, Mathematics, 2018, University of Michigan

 Controlling the dissemination of information about ourselves has become a minefield in the modern age. We release data about ourselves every day and don’t always… (more)

Subjects/Keywords: differential privacy; Mathematics; Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

McMillan, A. (2018). Differential Privacy, Property Testing, and Perturbations. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/143940

Chicago Manual of Style (16th Edition):

McMillan, Audra. “Differential Privacy, Property Testing, and Perturbations.” 2018. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/143940.

MLA Handbook (7th Edition):

McMillan, Audra. “Differential Privacy, Property Testing, and Perturbations.” 2018. Web. 25 Sep 2020.

Vancouver:

McMillan A. Differential Privacy, Property Testing, and Perturbations. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/143940.

Council of Science Editors:

McMillan A. Differential Privacy, Property Testing, and Perturbations. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/143940


University of Michigan

5. Khan, Osama U. Signal-Processing-Driven Integrated Circuits for Energy Constrained Microsystems.

Degree: PhD, Electrical Engineering, 2014, University of Michigan

 The exponential growth in IC technology has enabled low-cost and increasingly capable wireless sensor nodes which provide a promising way forward to realize the vision… (more)

Subjects/Keywords: Low Power Zigbee Receiver; Compressed Sensing; Hardware Accelerator for Bayesian Network; Sub-Nyquist ADC; Distributed Intelligent Sensing; Wireless Sensor Networks; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Khan, O. U. (2014). Signal-Processing-Driven Integrated Circuits for Energy Constrained Microsystems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107130

Chicago Manual of Style (16th Edition):

Khan, Osama U. “Signal-Processing-Driven Integrated Circuits for Energy Constrained Microsystems.” 2014. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/107130.

MLA Handbook (7th Edition):

Khan, Osama U. “Signal-Processing-Driven Integrated Circuits for Energy Constrained Microsystems.” 2014. Web. 25 Sep 2020.

Vancouver:

Khan OU. Signal-Processing-Driven Integrated Circuits for Energy Constrained Microsystems. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/107130.

Council of Science Editors:

Khan OU. Signal-Processing-Driven Integrated Circuits for Energy Constrained Microsystems. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107130


University of Michigan

6. Hong, David. Learning Low-Dimensional Models for Heterogeneous Data.

Degree: PhD, Electrical Engineering: Systems, 2019, University of Michigan

 Modern data analysis increasingly involves extracting insights, trends and patterns from large and messy data collected from myriad heterogeneous sources. The scale and heterogeneity present… (more)

Subjects/Keywords: low-dimensional models; heterogeneous data; random matrix theory; principal component analysis; tensor decomposition; unions of subspaces; Computer Science; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hong, D. (2019). Learning Low-Dimensional Models for Heterogeneous Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/150043

Chicago Manual of Style (16th Edition):

Hong, David. “Learning Low-Dimensional Models for Heterogeneous Data.” 2019. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/150043.

MLA Handbook (7th Edition):

Hong, David. “Learning Low-Dimensional Models for Heterogeneous Data.” 2019. Web. 25 Sep 2020.

Vancouver:

Hong D. Learning Low-Dimensional Models for Heterogeneous Data. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/150043.

Council of Science Editors:

Hong D. Learning Low-Dimensional Models for Heterogeneous Data. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/150043


University of Michigan

7. Prelee, Matthew A. Manhattan Cutset Sampling and Sensor Networks.

Degree: PhD, Electrical Engineering: Systems, 2016, University of Michigan

 Cutset sampling is a new approach to acquiring two-dimensional data, i.e., images, where values are recorded densely along straight lines. This type of sampling is… (more)

Subjects/Keywords: image sampling; sensor networks; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Prelee, M. A. (2016). Manhattan Cutset Sampling and Sensor Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120876

Chicago Manual of Style (16th Edition):

Prelee, Matthew A. “Manhattan Cutset Sampling and Sensor Networks.” 2016. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/120876.

MLA Handbook (7th Edition):

Prelee, Matthew A. “Manhattan Cutset Sampling and Sensor Networks.” 2016. Web. 25 Sep 2020.

Vancouver:

Prelee MA. Manhattan Cutset Sampling and Sensor Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/120876.

Council of Science Editors:

Prelee MA. Manhattan Cutset Sampling and Sensor Networks. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120876

8. Park, Jae Young. Compressed Sensing in Multi-Signal Environments.

Degree: PhD, Electrical Engineering: Systems, 2013, University of Michigan

 Technological advances and the ability to build cheap high performance sensors make it possible to deploy tens or even hundreds of sensors to acquire information… (more)

Subjects/Keywords: Compressed Sensing in Multi-Signal Environment; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Park, J. Y. (2013). Compressed Sensing in Multi-Signal Environments. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/98007

Chicago Manual of Style (16th Edition):

Park, Jae Young. “Compressed Sensing in Multi-Signal Environments.” 2013. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/98007.

MLA Handbook (7th Edition):

Park, Jae Young. “Compressed Sensing in Multi-Signal Environments.” 2013. Web. 25 Sep 2020.

Vancouver:

Park JY. Compressed Sensing in Multi-Signal Environments. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/98007.

Council of Science Editors:

Park JY. Compressed Sensing in Multi-Signal Environments. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/98007

9. Schmitt, Stephen. Fast Variance Prediction for Iteratively Reconstructed CT with Applications to Tube Current Modulation.

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

 X-ray computed tomography (CT) is an important, widely-used medical imaging modality. A primary concern with the increasing use of CT is the ionizing radiation dose… (more)

Subjects/Keywords: Computed Tomography; Iterative Reconstruction; Tube Current Modulation; Variance Prediction; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Schmitt, S. (2015). Fast Variance Prediction for Iteratively Reconstructed CT with Applications to Tube Current Modulation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/111463

Chicago Manual of Style (16th Edition):

Schmitt, Stephen. “Fast Variance Prediction for Iteratively Reconstructed CT with Applications to Tube Current Modulation.” 2015. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/111463.

MLA Handbook (7th Edition):

Schmitt, Stephen. “Fast Variance Prediction for Iteratively Reconstructed CT with Applications to Tube Current Modulation.” 2015. Web. 25 Sep 2020.

Vancouver:

Schmitt S. Fast Variance Prediction for Iteratively Reconstructed CT with Applications to Tube Current Modulation. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/111463.

Council of Science Editors:

Schmitt S. Fast Variance Prediction for Iteratively Reconstructed CT with Applications to Tube Current Modulation. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/111463

10. Lo, Chun. Efficient Sensor Fault Diagnosis in Wireless Sensor Networks.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

 Nodes in wireless sensor networks (WSN) are prone to faults due to their inexpensive components and due to the harsh environments in which they are… (more)

Subjects/Keywords: Fault Detection; Wireless Sensor Network; Group Testing; Civil and Environmental Engineering; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lo, C. (2014). Efficient Sensor Fault Diagnosis in Wireless Sensor Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107242

Chicago Manual of Style (16th Edition):

Lo, Chun. “Efficient Sensor Fault Diagnosis in Wireless Sensor Networks.” 2014. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/107242.

MLA Handbook (7th Edition):

Lo, Chun. “Efficient Sensor Fault Diagnosis in Wireless Sensor Networks.” 2014. Web. 25 Sep 2020.

Vancouver:

Lo C. Efficient Sensor Fault Diagnosis in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/107242.

Council of Science Editors:

Lo C. Efficient Sensor Fault Diagnosis in Wireless Sensor Networks. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107242

11. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 25, 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. 25 Sep 2020.

Vancouver:

Yenduri PK. Sparse Encoding of Signals through Structured Random Sampling. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Sep 25]. 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

12. Josan, Awlok S. Throughput Scaling and Data Gathering in Wireless Networks.

Degree: PhD, Electrical Engineering: Systems, 2011, University of Michigan

 This dissertation investigates three problems associated with wireless networks. First, throughput scaling in extended random access communication networks is examined. In these networks, the number… (more)

Subjects/Keywords: Throughput Scaling; Reliability; Sensor Placement; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Josan, A. S. (2011). Throughput Scaling and Data Gathering in Wireless Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86467

Chicago Manual of Style (16th Edition):

Josan, Awlok S. “Throughput Scaling and Data Gathering in Wireless Networks.” 2011. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/86467.

MLA Handbook (7th Edition):

Josan, Awlok S. “Throughput Scaling and Data Gathering in Wireless Networks.” 2011. Web. 25 Sep 2020.

Vancouver:

Josan AS. Throughput Scaling and Data Gathering in Wireless Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/86467.

Council of Science Editors:

Josan AS. Throughput Scaling and Data Gathering in Wireless Networks. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86467

13. Yang, Lili. Sample Based Estimation of Network Traffic Flow Characteristics.

Degree: PhD, Statistics, 2009, University of Michigan

 Understanding the characteristics of traffic flows is crucial for allocating the necessary resources (bandwidth) to accommodate users demand. In this dissertation research, the problem of… (more)

Subjects/Keywords: Sampling; Design; Network; Statistics and Numeric Data; Science

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yang, L. (2009). Sample Based Estimation of Network Traffic Flow Characteristics. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/62382

Chicago Manual of Style (16th Edition):

Yang, Lili. “Sample Based Estimation of Network Traffic Flow Characteristics.” 2009. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/62382.

MLA Handbook (7th Edition):

Yang, Lili. “Sample Based Estimation of Network Traffic Flow Characteristics.” 2009. Web. 25 Sep 2020.

Vancouver:

Yang L. Sample Based Estimation of Network Traffic Flow Characteristics. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/62382.

Council of Science Editors:

Yang L. Sample Based Estimation of Network Traffic Flow Characteristics. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/62382

14. Duan, Ran. Algorithms and Dynamic Data Structures for Basic Graph Optimization Problems.

Degree: PhD, Computer Science & Engineering, 2011, University of Michigan

 Graph optimization plays an important role in a wide range of areas such as computer graphics, computational biology, networking applications and machine learning. Among numerous… (more)

Subjects/Keywords: Algorithms; Data Structures; Graph Theory; Computer Science; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Duan, R. (2011). Algorithms and Dynamic Data Structures for Basic Graph Optimization Problems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89641

Chicago Manual of Style (16th Edition):

Duan, Ran. “Algorithms and Dynamic Data Structures for Basic Graph Optimization Problems.” 2011. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/89641.

MLA Handbook (7th Edition):

Duan, Ran. “Algorithms and Dynamic Data Structures for Basic Graph Optimization Problems.” 2011. Web. 25 Sep 2020.

Vancouver:

Duan R. Algorithms and Dynamic Data Structures for Basic Graph Optimization Problems. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/89641.

Council of Science Editors:

Duan R. Algorithms and Dynamic Data Structures for Basic Graph Optimization Problems. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89641

15. Chen, Shao-Yuan. Detection, Synchronization, Channel Estimation and Capacity in UWB Sensor Networks using Compressed Sensing.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

 Conventional receivers in ultrawideband (UWB) communication system usually require high sampling rate and thus consume much power. With compressed sensing (CS), the sampling rate can… (more)

Subjects/Keywords: Compressed Sensing; Ultra-wideband; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, S. (2014). Detection, Synchronization, Channel Estimation and Capacity in UWB Sensor Networks using Compressed Sensing. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/108820

Chicago Manual of Style (16th Edition):

Chen, Shao-Yuan. “Detection, Synchronization, Channel Estimation and Capacity in UWB Sensor Networks using Compressed Sensing.” 2014. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/108820.

MLA Handbook (7th Edition):

Chen, Shao-Yuan. “Detection, Synchronization, Channel Estimation and Capacity in UWB Sensor Networks using Compressed Sensing.” 2014. Web. 25 Sep 2020.

Vancouver:

Chen S. Detection, Synchronization, Channel Estimation and Capacity in UWB Sensor Networks using Compressed Sensing. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/108820.

Council of Science Editors:

Chen S. Detection, Synchronization, Channel Estimation and Capacity in UWB Sensor Networks using Compressed Sensing. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/108820

16. Wei, Feng. Measure Concentration and Non-asymptotic Singular Values Distributions of Random Matrices.

Degree: PhD, Mathematics, 2018, University of Michigan

 This thesis is devoted to the non-asymptotic random matrix theory and measure concentration phenomenon. We focus on using concentration inequalities together with other probabilistic and… (more)

Subjects/Keywords: non-asymptotic random matrix theory, measure concentration, singular values, Dvoretzky dimension, sub-gaussian; Mathematics; Science

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wei, F. (2018). Measure Concentration and Non-asymptotic Singular Values Distributions of Random Matrices. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/146065

Chicago Manual of Style (16th Edition):

Wei, Feng. “Measure Concentration and Non-asymptotic Singular Values Distributions of Random Matrices.” 2018. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/146065.

MLA Handbook (7th Edition):

Wei, Feng. “Measure Concentration and Non-asymptotic Singular Values Distributions of Random Matrices.” 2018. Web. 25 Sep 2020.

Vancouver:

Wei F. Measure Concentration and Non-asymptotic Singular Values Distributions of Random Matrices. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/146065.

Council of Science Editors:

Wei F. Measure Concentration and Non-asymptotic Singular Values Distributions of Random Matrices. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/146065

17. Allison, Michael J. Accelerated Computation of Regularized Estimates in Magnetic Resonance Imaging.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

 Magnetic resonance imaging (MRI) is a non-invasive medical imaging modality that uses magnetic fields. Accurate estimates of these fields are often used to improve the… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Medical Imaging; Optimization Methods; Regularized Estimation; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Allison, M. J. (2014). Accelerated Computation of Regularized Estimates in Magnetic Resonance Imaging. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107096

Chicago Manual of Style (16th Edition):

Allison, Michael J. “Accelerated Computation of Regularized Estimates in Magnetic Resonance Imaging.” 2014. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/107096.

MLA Handbook (7th Edition):

Allison, Michael J. “Accelerated Computation of Regularized Estimates in Magnetic Resonance Imaging.” 2014. Web. 25 Sep 2020.

Vancouver:

Allison MJ. Accelerated Computation of Regularized Estimates in Magnetic Resonance Imaging. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/107096.

Council of Science Editors:

Allison MJ. Accelerated Computation of Regularized Estimates in Magnetic Resonance Imaging. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107096

18. Yoon, Daehyun. Fast Joint Design of RF and Gradient Waveforms for MRI Parallel Excitation.

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

 For past few decades, magnetic resonance imaging (MRI) has been increasingly used for a wide variety of clinical and biological research due to its excellent… (more)

Subjects/Keywords: Fast Joint Design of RF and Gradient Waveforms for MRI Parallel Excitation; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yoon, D. (2012). Fast Joint Design of RF and Gradient Waveforms for MRI Parallel Excitation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/96091

Chicago Manual of Style (16th Edition):

Yoon, Daehyun. “Fast Joint Design of RF and Gradient Waveforms for MRI Parallel Excitation.” 2012. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/96091.

MLA Handbook (7th Edition):

Yoon, Daehyun. “Fast Joint Design of RF and Gradient Waveforms for MRI Parallel Excitation.” 2012. Web. 25 Sep 2020.

Vancouver:

Yoon D. Fast Joint Design of RF and Gradient Waveforms for MRI Parallel Excitation. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/96091.

Council of Science Editors:

Yoon D. Fast Joint Design of RF and Gradient Waveforms for MRI Parallel Excitation. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/96091

19. Tibau Puig, Arnau. Learning from High-Dimensional Multivariate Signals.

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

 Modern measurement systems monitor a growing number of variables at low cost. In the problem of characterizing the observed measurements, budget limitations usually constrain the… (more)

Subjects/Keywords: Statistical Signal Processing; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tibau Puig, A. (2012). Learning from High-Dimensional Multivariate Signals. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/91544

Chicago Manual of Style (16th Edition):

Tibau Puig, Arnau. “Learning from High-Dimensional Multivariate Signals.” 2012. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/91544.

MLA Handbook (7th Edition):

Tibau Puig, Arnau. “Learning from High-Dimensional Multivariate Signals.” 2012. Web. 25 Sep 2020.

Vancouver:

Tibau Puig A. Learning from High-Dimensional Multivariate Signals. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/91544.

Council of Science Editors:

Tibau Puig A. Learning from High-Dimensional Multivariate Signals. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/91544

20. Naraghi, Shahrzad. Time-Based Analog to Digital Converters.

Degree: PhD, Electrical Engineering, 2009, University of Michigan

 Low-power, small analog-to-digital converters (ADCs) have numerous applications in areas ranging from power-aware wireless sensing nodes for environmental monitoring to biomedical monitoring devices in point-of-care… (more)

Subjects/Keywords: Analog-to-Digital Converter; Time-to-Digital Converter; Electrical Engineering; Engineering

…Engineering) in The University of Michigan 2009 Doctoral Committee: Associate Professor… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Naraghi, S. (2009). Time-Based Analog to Digital Converters. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/64787

Chicago Manual of Style (16th Edition):

Naraghi, Shahrzad. “Time-Based Analog to Digital Converters.” 2009. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/64787.

MLA Handbook (7th Edition):

Naraghi, Shahrzad. “Time-Based Analog to Digital Converters.” 2009. Web. 25 Sep 2020.

Vancouver:

Naraghi S. Time-Based Analog to Digital Converters. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/64787.

Council of Science Editors:

Naraghi S. Time-Based Analog to Digital Converters. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/64787

21. Shearer, Paul R. Separable Inverse Problems, Blind Deconvolution, and Stray Light Correction for Extreme Ultraviolet Solar Images.

Degree: PhD, Applied and Interdisciplinary Mathematics, 2013, University of Michigan

 The determination of the inputs to a system given noisy output data is known as an inverse problem. When the system is a linear transformation… (more)

Subjects/Keywords: Blind Deconvolution; Inverse Problems; Optimization; Applied Mathematics; Deblurring; Electrical Engineering; Astronomy; Atmospheric, Oceanic and Space Sciences; Mathematics; Physics; Engineering; Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shearer, P. R. (2013). Separable Inverse Problems, Blind Deconvolution, and Stray Light Correction for Extreme Ultraviolet Solar Images. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/99797

Chicago Manual of Style (16th Edition):

Shearer, Paul R. “Separable Inverse Problems, Blind Deconvolution, and Stray Light Correction for Extreme Ultraviolet Solar Images.” 2013. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/99797.

MLA Handbook (7th Edition):

Shearer, Paul R. “Separable Inverse Problems, Blind Deconvolution, and Stray Light Correction for Extreme Ultraviolet Solar Images.” 2013. Web. 25 Sep 2020.

Vancouver:

Shearer PR. Separable Inverse Problems, Blind Deconvolution, and Stray Light Correction for Extreme Ultraviolet Solar Images. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/99797.

Council of Science Editors:

Shearer PR. Separable Inverse Problems, Blind Deconvolution, and Stray Light Correction for Extreme Ultraviolet Solar Images. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/99797

22. Hwang, Sung Jin. Geometric Representations of High Dimensional Random Data.

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

 This thesis introduces geometric representations relevant to the analysis of datasets of random vectors in high dimension. These representations are used to study the behavior… (more)

Subjects/Keywords: High Dimensional Data; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hwang, S. J. (2012). Geometric Representations of High Dimensional Random Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/96097

Chicago Manual of Style (16th Edition):

Hwang, Sung Jin. “Geometric Representations of High Dimensional Random Data.” 2012. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/96097.

MLA Handbook (7th Edition):

Hwang, Sung Jin. “Geometric Representations of High Dimensional Random Data.” 2012. Web. 25 Sep 2020.

Vancouver:

Hwang SJ. Geometric Representations of High Dimensional Random Data. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/96097.

Council of Science Editors:

Hwang SJ. Geometric Representations of High Dimensional Random Data. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/96097

23. Hoskins, Jeremy. Diffuse Scattering and Diffuse Optical Tomography on Graphs.

Degree: PhD, Applied and Interdisciplinary Mathematics, 2017, University of Michigan

 We formulate and analyze difference equations on graphs analogous to time- independent diffusion equations arising in the study of diffuse scattering in con- tinuous media… (more)

Subjects/Keywords: inverse problems; imaging; inverse Born series; Mathematics; Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hoskins, J. (2017). Diffuse Scattering and Diffuse Optical Tomography on Graphs. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138547

Chicago Manual of Style (16th Edition):

Hoskins, Jeremy. “Diffuse Scattering and Diffuse Optical Tomography on Graphs.” 2017. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/138547.

MLA Handbook (7th Edition):

Hoskins, Jeremy. “Diffuse Scattering and Diffuse Optical Tomography on Graphs.” 2017. Web. 25 Sep 2020.

Vancouver:

Hoskins J. Diffuse Scattering and Diffuse Optical Tomography on Graphs. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/138547.

Council of Science Editors:

Hoskins J. Diffuse Scattering and Diffuse Optical Tomography on Graphs. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138547

24. Funai, Amanda K. Regularized Estimation of Main and RF Field Inhomogeneity and Longitudinal Relaxation Rate in Magnetic Resonance Imaging.

Degree: PhD, Electrical Engineering: Systems, 2011, University of Michigan

 In designing pulses and algorithms for magnetic resonance imaging, several simplifications to the Bloch equation are used. However, as magnetic resonance (MR) imaging requires higher… (more)

Subjects/Keywords: Field Mapping; Magnetic Resonance Imaging; Penalized-likelihood Estimation; B1 Mapping; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Funai, A. K. (2011). Regularized Estimation of Main and RF Field Inhomogeneity and Longitudinal Relaxation Rate in Magnetic Resonance Imaging. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86473

Chicago Manual of Style (16th Edition):

Funai, Amanda K. “Regularized Estimation of Main and RF Field Inhomogeneity and Longitudinal Relaxation Rate in Magnetic Resonance Imaging.” 2011. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/86473.

MLA Handbook (7th Edition):

Funai, Amanda K. “Regularized Estimation of Main and RF Field Inhomogeneity and Longitudinal Relaxation Rate in Magnetic Resonance Imaging.” 2011. Web. 25 Sep 2020.

Vancouver:

Funai AK. Regularized Estimation of Main and RF Field Inhomogeneity and Longitudinal Relaxation Rate in Magnetic Resonance Imaging. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/86473.

Council of Science Editors:

Funai AK. Regularized Estimation of Main and RF Field Inhomogeneity and Longitudinal Relaxation Rate in Magnetic Resonance Imaging. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86473

25. Nien, Hung. Model-based X-ray CT Image and Light Field Reconstruction Using Variable Splitting Methods.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

 Model-based image reconstruction (MBIR) is a powerful technique for solving ill-posed inverse problems. Compared with direct methods, it can provide better estimates from noisy measurements… (more)

Subjects/Keywords: Model-based X-ray CT Image Reconstruction; Convex Optimization; Iterative Algorithm; Augmented Lagrangian; Variable Splitting; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Nien, H. (2014). Model-based X-ray CT Image and Light Field Reconstruction Using Variable Splitting Methods. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/108981

Chicago Manual of Style (16th Edition):

Nien, Hung. “Model-based X-ray CT Image and Light Field Reconstruction Using Variable Splitting Methods.” 2014. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/108981.

MLA Handbook (7th Edition):

Nien, Hung. “Model-based X-ray CT Image and Light Field Reconstruction Using Variable Splitting Methods.” 2014. Web. 25 Sep 2020.

Vancouver:

Nien H. Model-based X-ray CT Image and Light Field Reconstruction Using Variable Splitting Methods. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/108981.

Council of Science Editors:

Nien H. Model-based X-ray CT Image and Light Field Reconstruction Using Variable Splitting Methods. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/108981

26. Kim, Byung-soo. Unified Models for Recovering Semantics and Geometry from Scenes.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

 Understanding contents of an image, or scene understanding, is an important yet very challenging problem in computer vision. In the last few years, substantially different… (more)

Subjects/Keywords: Computer Vision; Scene Understanding; Conditional Random Field; Computer Science; Electrical Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kim, B. (2014). Unified Models for Recovering Semantics and Geometry from Scenes. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107277

Chicago Manual of Style (16th Edition):

Kim, Byung-soo. “Unified Models for Recovering Semantics and Geometry from Scenes.” 2014. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/107277.

MLA Handbook (7th Edition):

Kim, Byung-soo. “Unified Models for Recovering Semantics and Geometry from Scenes.” 2014. Web. 25 Sep 2020.

Vancouver:

Kim B. Unified Models for Recovering Semantics and Geometry from Scenes. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/107277.

Council of Science Editors:

Kim B. Unified Models for Recovering Semantics and Geometry from Scenes. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107277

27. Sun, Yitong. Random Features Methods in Supervised Learning.

Degree: PhD, Applied and Interdisciplinary Mathematics, 2019, University of Michigan

 Kernel methods and neural networks are two important schemes in the supervised learning field. The theory of kernel methods is well understood, but their performance… (more)

Subjects/Keywords: random features; kernel methods; statistical learning; Statistics and Numeric Data; Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sun, Y. (2019). Random Features Methods in Supervised Learning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151635

Chicago Manual of Style (16th Edition):

Sun, Yitong. “Random Features Methods in Supervised Learning.” 2019. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/151635.

MLA Handbook (7th Edition):

Sun, Yitong. “Random Features Methods in Supervised Learning.” 2019. Web. 25 Sep 2020.

Vancouver:

Sun Y. Random Features Methods in Supervised Learning. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/151635.

Council of Science Editors:

Sun Y. Random Features Methods in Supervised Learning. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151635

28. Li, Yi. Sublinear Time Algorithms for the Sparse Recovery Problem.

Degree: PhD, Computer Science & Engineering, 2013, University of Michigan

 In the sparse recovery problem, we have a signal x in R^N that is sparse; i.e., it consists of k significant entries (heavy hitters) while… (more)

Subjects/Keywords: Sublinear-time Algorithms; Sparse Recovery Problem; Off-the-Grid Fourier Sampling; Computer Science; Engineering

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Li, Y. (2013). Sublinear Time Algorithms for the Sparse Recovery Problem. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/102438

Chicago Manual of Style (16th Edition):

Li, Yi. “Sublinear Time Algorithms for the Sparse Recovery Problem.” 2013. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/102438.

MLA Handbook (7th Edition):

Li, Yi. “Sublinear Time Algorithms for the Sparse Recovery Problem.” 2013. Web. 25 Sep 2020.

Vancouver:

Li Y. Sublinear Time Algorithms for the Sparse Recovery Problem. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/102438.

Council of Science Editors:

Li Y. Sublinear Time Algorithms for the Sparse Recovery Problem. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/102438

29. Calder, Jeffrey William. Hamilton-Jacobi Equations for Sorting and Percolation Problems.

Degree: PhD, Applied and Interdisciplinary Mathematics, 2014, University of Michigan

 In this dissertation we prove continuum limits for some sorting and percolation problems that are important in mathematical, scientific, and engineering contexts. The first problem… (more)

Subjects/Keywords: Non-dominated Sorting; Longest Chain Problem; Multi-objective Optimization; Viscosity Solutions; Hamilton-Jacobi Equations; Directed Last Passage Percolation; Computer Science; Mathematics; Science (General); Engineering; Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Calder, J. W. (2014). Hamilton-Jacobi Equations for Sorting and Percolation Problems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/108848

Chicago Manual of Style (16th Edition):

Calder, Jeffrey William. “Hamilton-Jacobi Equations for Sorting and Percolation Problems.” 2014. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/108848.

MLA Handbook (7th Edition):

Calder, Jeffrey William. “Hamilton-Jacobi Equations for Sorting and Percolation Problems.” 2014. Web. 25 Sep 2020.

Vancouver:

Calder JW. Hamilton-Jacobi Equations for Sorting and Percolation Problems. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/108848.

Council of Science Editors:

Calder JW. Hamilton-Jacobi Equations for Sorting and Percolation Problems. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/108848

30. McCarty, Lindsey Ann. Preemptive Rerouting of Airline Passengers under Uncertain Delays.

Degree: PhD, Applied and Interdisciplinary Mathematics, 2012, University of Michigan

 An airline's operational disruptions can lead to flight delays that in turn impact passengers, not only through the delay itself but also through possible missed… (more)

Subjects/Keywords: Airline Scheduling; Airline Recovery; Passenger Reaccommodation; Two-stage Stochastic Programming; Benders Decomposition; Branch and Price; Industrial and Operations Engineering; Mathematics; Engineering; Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

McCarty, L. A. (2012). Preemptive Rerouting of Airline Passengers under Uncertain Delays. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/93864

Chicago Manual of Style (16th Edition):

McCarty, Lindsey Ann. “Preemptive Rerouting of Airline Passengers under Uncertain Delays.” 2012. Doctoral Dissertation, University of Michigan. Accessed September 25, 2020. http://hdl.handle.net/2027.42/93864.

MLA Handbook (7th Edition):

McCarty, Lindsey Ann. “Preemptive Rerouting of Airline Passengers under Uncertain Delays.” 2012. Web. 25 Sep 2020.

Vancouver:

McCarty LA. Preemptive Rerouting of Airline Passengers under Uncertain Delays. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2027.42/93864.

Council of Science Editors:

McCarty LA. Preemptive Rerouting of Airline Passengers under Uncertain Delays. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/93864

[1] [2]

.