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You searched for +publisher:"University of Houston" +contributor:("Shah, Shishir"). Showing records 1 – 30 of 56 total matches.

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University of Houston

1. Karbaschi, Yaser 1987-. Design and Evaluation of Different Interaction Techniques for Object Rotation in Mobile VR Applications.

Degree: Computer Science, Department of, 2018, University of Houston

 Manipulating 3D objects and navigating are the main components when exploring Virtual Reality (VR) content. These tasks can get complex in Mobile-VR due to the… (more)

Subjects/Keywords: Virtual Reality; User Interaction; Head Mounted Display; Google Daydream; 3D Interaction; VR; HMD

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

APA (6th Edition):

Karbaschi, Y. 1. (2018). Design and Evaluation of Different Interaction Techniques for Object Rotation in Mobile VR Applications. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3416

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Karbaschi, Yaser 1987-. “Design and Evaluation of Different Interaction Techniques for Object Rotation in Mobile VR Applications.” 2018. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3416.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Karbaschi, Yaser 1987-. “Design and Evaluation of Different Interaction Techniques for Object Rotation in Mobile VR Applications.” 2018. Web. 18 Feb 2019.

Vancouver:

Karbaschi Y1. Design and Evaluation of Different Interaction Techniques for Object Rotation in Mobile VR Applications. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3416.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karbaschi Y1. Design and Evaluation of Different Interaction Techniques for Object Rotation in Mobile VR Applications. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3416

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

2. Basani, Prashanth Reddy 1995-. Online Multi Object Tracking Using Reinforcement Learning.

Degree: Computer Science, Department of, 2018, University of Houston

 This thesis presents an approach to online learning of Multi-Object Tracking (MOT). It is based on representations from a discriminatively trained Convolutional Neural Network (CNN)… (more)

Subjects/Keywords: Multi-Object Tracking; Deep Reinforcement Learning; Online Learning

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APA (6th Edition):

Basani, P. R. 1. (2018). Online Multi Object Tracking Using Reinforcement Learning. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3447

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Basani, Prashanth Reddy 1995-. “Online Multi Object Tracking Using Reinforcement Learning.” 2018. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3447.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Basani, Prashanth Reddy 1995-. “Online Multi Object Tracking Using Reinforcement Learning.” 2018. Web. 18 Feb 2019.

Vancouver:

Basani PR1. Online Multi Object Tracking Using Reinforcement Learning. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3447.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Basani PR1. Online Multi Object Tracking Using Reinforcement Learning. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3447

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

3. Shah, Tanay Jignesh. Multi-Purpose Chest X-Ray Analytics System Using Deep Learning Techniques.

Degree: Electrical and Computer Engineering, Department of, 2018, University of Houston

 There has been rapid and tremendous progress in the past few years in the field of deep learning, mainly due to the availability of computational… (more)

Subjects/Keywords: chest X-rays; deep learning

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

APA (6th Edition):

Shah, T. J. (2018). Multi-Purpose Chest X-Ray Analytics System Using Deep Learning Techniques. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3459

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shah, Tanay Jignesh. “Multi-Purpose Chest X-Ray Analytics System Using Deep Learning Techniques.” 2018. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3459.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shah, Tanay Jignesh. “Multi-Purpose Chest X-Ray Analytics System Using Deep Learning Techniques.” 2018. Web. 18 Feb 2019.

Vancouver:

Shah TJ. Multi-Purpose Chest X-Ray Analytics System Using Deep Learning Techniques. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3459.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shah TJ. Multi-Purpose Chest X-Ray Analytics System Using Deep Learning Techniques. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3459

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

4. Long, Ryan W 1992-. Evaluation of Usage Patterns Within Lecture Videos.

Degree: Computer Science, Department of, 2018, University of Houston

 Lecture videos supplementing or replacing traditional classroom instruction have become common in academic settings and have been shown to contribute positively to students’ academic performance.… (more)

Subjects/Keywords: Clustering; learning technologies; lecture videos; video analytics; video usage patterns

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APA (6th Edition):

Long, R. W. 1. (2018). Evaluation of Usage Patterns Within Lecture Videos. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3463

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Long, Ryan W 1992-. “Evaluation of Usage Patterns Within Lecture Videos.” 2018. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3463.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Long, Ryan W 1992-. “Evaluation of Usage Patterns Within Lecture Videos.” 2018. Web. 18 Feb 2019.

Vancouver:

Long RW1. Evaluation of Usage Patterns Within Lecture Videos. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3463.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Long RW1. Evaluation of Usage Patterns Within Lecture Videos. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3463

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

5. Sadani, Sidharth 1993-. Analyzing Notions of Artistic Style Using Computer Vision Techniques.

Degree: Computer Science, Department of, 2018, University of Houston

 Computer vision has made significant strides in the area of artistic style transfer, and a few attempts have been made to extract and define the… (more)

Subjects/Keywords: Artistic style; Computer vision; Brush stroke

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

APA (6th Edition):

Sadani, S. 1. (2018). Analyzing Notions of Artistic Style Using Computer Vision Techniques. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3481

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sadani, Sidharth 1993-. “Analyzing Notions of Artistic Style Using Computer Vision Techniques.” 2018. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3481.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sadani, Sidharth 1993-. “Analyzing Notions of Artistic Style Using Computer Vision Techniques.” 2018. Web. 18 Feb 2019.

Vancouver:

Sadani S1. Analyzing Notions of Artistic Style Using Computer Vision Techniques. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3481.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sadani S1. Analyzing Notions of Artistic Style Using Computer Vision Techniques. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3481

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

6. Priya, Tanu. Superpixels for Hyperspectral Image Analysis.

Degree: Electrical and Computer Engineering, Department of, 2015, University of Houston

 With rapid development of multi-channel optical imaging sensors, hyperpsectral data has become increasingly popular, necessitating development of algorithms for robust image analysis with such data.… (more)

Subjects/Keywords: Hyperspectral

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APA (6th Edition):

Priya, T. (2015). Superpixels for Hyperspectral Image Analysis. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3655

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Priya, Tanu. “Superpixels for Hyperspectral Image Analysis.” 2015. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3655.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Priya, Tanu. “Superpixels for Hyperspectral Image Analysis.” 2015. Web. 18 Feb 2019.

Vancouver:

Priya T. Superpixels for Hyperspectral Image Analysis. [Internet] [Thesis]. University of Houston; 2015. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3655.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Priya T. Superpixels for Hyperspectral Image Analysis. [Thesis]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/3655

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

7. Sghir, Ilyes 1990-. Modeling Human Motion for Predicting Usage of Hospital Operating Room.

Degree: Computer Science, Department of, 2014, University of Houston

 We present a system that exploits existing video streams from an hospital operating room (OR) to infer the OR usage state through Bayesian modeling. We… (more)

Subjects/Keywords: Hospital Operating Room; Workflow Monitoring; Pattern Recognition; Human Motion Pattern; Gaussian Kernel Density Estimation; Bayesian Inference

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

APA (6th Edition):

Sghir, I. 1. (2014). Modeling Human Motion for Predicting Usage of Hospital Operating Room. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1458

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sghir, Ilyes 1990-. “Modeling Human Motion for Predicting Usage of Hospital Operating Room.” 2014. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/1458.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sghir, Ilyes 1990-. “Modeling Human Motion for Predicting Usage of Hospital Operating Room.” 2014. Web. 18 Feb 2019.

Vancouver:

Sghir I1. Modeling Human Motion for Predicting Usage of Hospital Operating Room. [Internet] [Thesis]. University of Houston; 2014. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/1458.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sghir I1. Modeling Human Motion for Predicting Usage of Hospital Operating Room. [Thesis]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1458

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

8. Pampana, Renuka 1990-. A New Approach To Domain Adaptation Applied To Supernova Photometric Classification.

Degree: Computer Science, Department of, 2016, University of Houston

 Supernova Type Ia plays a vital role in the measurement of the cosmological parameters. It is used as ‘standard candles’ for measuring extragalactic distances. There… (more)

Subjects/Keywords: supernova; domain adaptation; active learning

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APA (6th Edition):

Pampana, R. 1. (2016). A New Approach To Domain Adaptation Applied To Supernova Photometric Classification. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1495

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pampana, Renuka 1990-. “A New Approach To Domain Adaptation Applied To Supernova Photometric Classification.” 2016. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/1495.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pampana, Renuka 1990-. “A New Approach To Domain Adaptation Applied To Supernova Photometric Classification.” 2016. Web. 18 Feb 2019.

Vancouver:

Pampana R1. A New Approach To Domain Adaptation Applied To Supernova Photometric Classification. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/1495.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pampana R1. A New Approach To Domain Adaptation Applied To Supernova Photometric Classification. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/1495

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

9. -3661-527X. Development of a Hybrid EEG-NIRS Brain-Computer Interface for Multiple Motor Tasks.

Degree: Computer Science, Department of, 2015, University of Houston

 Non-invasive Brain-Computer Interfaces (BCI) have demonstrated great promise for neuroprosthetics and assistive devices. Here we aim to investigate methods to combine Electroencephalography (EEG) and Near-infrared… (more)

Subjects/Keywords: Hybrid BCI; EEG-NIRS Combination; Multiple Motor Tasks

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APA (6th Edition):

-3661-527X. (2015). Development of a Hybrid EEG-NIRS Brain-Computer Interface for Multiple Motor Tasks. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1993

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-3661-527X. “Development of a Hybrid EEG-NIRS Brain-Computer Interface for Multiple Motor Tasks.” 2015. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/1993.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-3661-527X. “Development of a Hybrid EEG-NIRS Brain-Computer Interface for Multiple Motor Tasks.” 2015. Web. 18 Feb 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3661-527X. Development of a Hybrid EEG-NIRS Brain-Computer Interface for Multiple Motor Tasks. [Internet] [Thesis]. University of Houston; 2015. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/1993.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-3661-527X. Development of a Hybrid EEG-NIRS Brain-Computer Interface for Multiple Motor Tasks. [Thesis]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/1993

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

10. Biediger, Dan 1974-. Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images.

Degree: Computer Science, Department of, 2012, University of Houston

 Multiple sclerosis (MS) is an autoimmune disease of the central nervous system that causes damage to the insulating myelin sheaths around the axons in the… (more)

Subjects/Keywords: Multiple Sclerosis; MRI; Lesion; Segmentation; Grow-Cut; Cellular Automata; Computer science

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APA (6th Edition):

Biediger, D. 1. (2012). Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/560

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Biediger, Dan 1974-. “Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images.” 2012. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/560.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Biediger, Dan 1974-. “Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images.” 2012. Web. 18 Feb 2019.

Vancouver:

Biediger D1. Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images. [Internet] [Thesis]. University of Houston; 2012. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/560.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Biediger D1. Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images. [Thesis]. University of Houston; 2012. Available from: http://hdl.handle.net/10657/560

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

11. Saha, Manas K. 1966-. A Code Structure Visualization Tool for Groovy.

Degree: Computer Science, Department of, 2013, University of Houston

 Real world systems often turn complex by nature. Dealing with complexity takes great amount of effort and time. A visualization tool can help to understand… (more)

Subjects/Keywords: Groovy; Code Visualization Tool; Abstract Syntax Tree; Computer science

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APA (6th Edition):

Saha, M. K. 1. (2013). A Code Structure Visualization Tool for Groovy. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/675

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Saha, Manas K 1966-. “A Code Structure Visualization Tool for Groovy.” 2013. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/675.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Saha, Manas K 1966-. “A Code Structure Visualization Tool for Groovy.” 2013. Web. 18 Feb 2019.

Vancouver:

Saha MK1. A Code Structure Visualization Tool for Groovy. [Internet] [Thesis]. University of Houston; 2013. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/675.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saha MK1. A Code Structure Visualization Tool for Groovy. [Thesis]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/675

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

12. Hulikal Somasundar, Vinay 1988-. Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning.

Degree: Electrical and Computer Engineering, Department of, 2012, University of Houston

 The cortex of the brain consists of layers of cells which differ in morphology and their connectivity to the inner parts of the brain. Different… (more)

Subjects/Keywords: Cytoarchitectonics; Cytometric approach; Cell Networks; Active Learning; Electrical engineering

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

APA (6th Edition):

Hulikal Somasundar, V. 1. (2012). Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/826

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hulikal Somasundar, Vinay 1988-. “Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning.” 2012. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/826.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hulikal Somasundar, Vinay 1988-. “Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning.” 2012. Web. 18 Feb 2019.

Vancouver:

Hulikal Somasundar V1. Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning. [Internet] [Thesis]. University of Houston; 2012. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/826.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hulikal Somasundar V1. Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning. [Thesis]. University of Houston; 2012. Available from: http://hdl.handle.net/10657/826

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

13. Chu, Dat 1985-. Discriminative Semi-coupled Dictionary Learning for Face Recognition.

Degree: Computer Science, Department of, 2012, University of Houston

 Performing 3D face recognition when only partial 3D data are present in the gallery and probe is a very challenging task. The task is even… (more)

Subjects/Keywords: Face Recognition; Sparse Respresentation; Dictionary Learning; Computer science

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APA (6th Edition):

Chu, D. 1. (2012). Discriminative Semi-coupled Dictionary Learning for Face Recognition. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/827

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chu, Dat 1985-. “Discriminative Semi-coupled Dictionary Learning for Face Recognition.” 2012. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/827.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chu, Dat 1985-. “Discriminative Semi-coupled Dictionary Learning for Face Recognition.” 2012. Web. 18 Feb 2019.

Vancouver:

Chu D1. Discriminative Semi-coupled Dictionary Learning for Face Recognition. [Internet] [Thesis]. University of Houston; 2012. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/827.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chu D1. Discriminative Semi-coupled Dictionary Learning for Face Recognition. [Thesis]. University of Houston; 2012. Available from: http://hdl.handle.net/10657/827

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

14. Hervey, Marcus W 1970-. Enhanced Debugging of Data Races in Parallel Programs Using OpenMP.

Degree: Computer Science, Department of, 2016, University of Houston

 Parallel computing is pervasive. The variety and number of parallel hardware architectures increase daily. As this technology evolves, parallel developers will need productivity enhancing tools… (more)

Subjects/Keywords: data races; parallel programming; static-analysis; dynamic-analysis; complementary-analysis; debugging; RaceFree

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APA (6th Edition):

Hervey, M. W. 1. (2016). Enhanced Debugging of Data Races in Parallel Programs Using OpenMP. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1711

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hervey, Marcus W 1970-. “Enhanced Debugging of Data Races in Parallel Programs Using OpenMP.” 2016. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/1711.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hervey, Marcus W 1970-. “Enhanced Debugging of Data Races in Parallel Programs Using OpenMP.” 2016. Web. 18 Feb 2019.

Vancouver:

Hervey MW1. Enhanced Debugging of Data Races in Parallel Programs Using OpenMP. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/1711.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hervey MW1. Enhanced Debugging of Data Races in Parallel Programs Using OpenMP. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/1711

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

15. Barman, Arko 1986-. Consensus-Based Decision-Making for Improving Person Re-Identification and Similar Systems.

Degree: Computer Science, Department of, 2018, University of Houston

 Person re-identification is a problem in video-based surveillance that deals with identifying the same person in multiple different camera views. The problem is particularly challenging… (more)

Subjects/Keywords: Person re-identification; consensus; fusion; computer vision; video surveillance

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

APA (6th Edition):

Barman, A. 1. (2018). Consensus-Based Decision-Making for Improving Person Re-Identification and Similar Systems. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Barman, Arko 1986-. “Consensus-Based Decision-Making for Improving Person Re-Identification and Similar Systems.” 2018. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Barman, Arko 1986-. “Consensus-Based Decision-Making for Improving Person Re-Identification and Similar Systems.” 2018. Web. 18 Feb 2019.

Vancouver:

Barman A1. Consensus-Based Decision-Making for Improving Person Re-Identification and Similar Systems. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Barman A1. Consensus-Based Decision-Making for Improving Person Re-Identification and Similar Systems. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

16. Khanipov, Kamil Ildarovich 1992-. Using Computational Analysis of Frequencies and Genomic Locations of 6-8 Nucleotide Long Sequences to Improve Quality of DNA Amplification.

Degree: Computer Science, Department of, 2018, University of Houston

 Random primer amplification (RPA) is a technique widely used in a variety of genomic studies. Nonrandom distribution of short sequences across Human, animal, and bacterial… (more)

Subjects/Keywords: DNA amplification; Bioinformatics; Random Primer Amplification; Metagenomics

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APA (6th Edition):

Khanipov, K. I. 1. (2018). Using Computational Analysis of Frequencies and Genomic Locations of 6-8 Nucleotide Long Sequences to Improve Quality of DNA Amplification. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3435

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khanipov, Kamil Ildarovich 1992-. “Using Computational Analysis of Frequencies and Genomic Locations of 6-8 Nucleotide Long Sequences to Improve Quality of DNA Amplification.” 2018. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3435.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khanipov, Kamil Ildarovich 1992-. “Using Computational Analysis of Frequencies and Genomic Locations of 6-8 Nucleotide Long Sequences to Improve Quality of DNA Amplification.” 2018. Web. 18 Feb 2019.

Vancouver:

Khanipov KI1. Using Computational Analysis of Frequencies and Genomic Locations of 6-8 Nucleotide Long Sequences to Improve Quality of DNA Amplification. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3435.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khanipov KI1. Using Computational Analysis of Frequencies and Genomic Locations of 6-8 Nucleotide Long Sequences to Improve Quality of DNA Amplification. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3435

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

17. Chowdhury, Tasadduk 1985-. Region-of-Interest Reconstruction from Truncated Cone-Beam CT.

Degree: Mathematics, Department of, 2016, University of Houston

 This thesis presents a novel algorithm in 3D computed tomography (CT) dedicated to accurate region of interest (ROI) reconstruction from truncated cone-beam projections. Here data… (more)

Subjects/Keywords: computed tomography; cone-beam transform; Radon transform; interior tomography; region-of-interest tomography; inverse problems

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APA (6th Edition):

Chowdhury, T. 1. (2016). Region-of-Interest Reconstruction from Truncated Cone-Beam CT. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3608

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chowdhury, Tasadduk 1985-. “Region-of-Interest Reconstruction from Truncated Cone-Beam CT.” 2016. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3608.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chowdhury, Tasadduk 1985-. “Region-of-Interest Reconstruction from Truncated Cone-Beam CT.” 2016. Web. 18 Feb 2019.

Vancouver:

Chowdhury T1. Region-of-Interest Reconstruction from Truncated Cone-Beam CT. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3608.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chowdhury T1. Region-of-Interest Reconstruction from Truncated Cone-Beam CT. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3608

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

18. Nasir, Irteza 1990-. A Study of Visual Attention on Gestures and Motion during Infancy.

Degree: Computer Science, Department of, 2018, University of Houston

 In recent years, understanding development of children’s visual attention with the help of computer vision techniques have been promising. Many approaches have been tried to… (more)

Subjects/Keywords: Computer Vision; Motion Analysis

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APA (6th Edition):

Nasir, I. 1. (2018). A Study of Visual Attention on Gestures and Motion during Infancy. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3101

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nasir, Irteza 1990-. “A Study of Visual Attention on Gestures and Motion during Infancy.” 2018. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3101.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nasir, Irteza 1990-. “A Study of Visual Attention on Gestures and Motion during Infancy.” 2018. Web. 18 Feb 2019.

Vancouver:

Nasir I1. A Study of Visual Attention on Gestures and Motion during Infancy. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3101.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nasir I1. A Study of Visual Attention on Gestures and Motion during Infancy. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3101

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

19. Kotadia, Kinjal 1994-. Extracting Social Network Groups from Video Data Using Motion Similarity and Network Clustering.

Degree: Computer Science, Department of, 2018, University of Houston

 Detecting Social Network Groups from Video data acquired from surveillance cameras is a challenging problem currently being addressed by the Data Mining and Computer Vision… (more)

Subjects/Keywords: Social Network Groups; Motion Similarity; Graph Clustering; Elbow Method

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APA (6th Edition):

Kotadia, K. 1. (2018). Extracting Social Network Groups from Video Data Using Motion Similarity and Network Clustering. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3117

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kotadia, Kinjal 1994-. “Extracting Social Network Groups from Video Data Using Motion Similarity and Network Clustering.” 2018. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3117.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kotadia, Kinjal 1994-. “Extracting Social Network Groups from Video Data Using Motion Similarity and Network Clustering.” 2018. Web. 18 Feb 2019.

Vancouver:

Kotadia K1. Extracting Social Network Groups from Video Data Using Motion Similarity and Network Clustering. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3117.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kotadia K1. Extracting Social Network Groups from Video Data Using Motion Similarity and Network Clustering. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3117

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

20. -4734-5447. Converting a Neuron-Morphology Reconstruction System: Open-Science Design and Implementation.

Degree: Computer Science, Department of, 2016, University of Houston

 The thesis describes the conversion of the Online Reconstruction and functional Imaging Of Neurons (ORION) system for neuron-morphology reconstruction from an interpreted language to a… (more)

Subjects/Keywords: neurons; cell morphology; biomedical image analysis; software engineering

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APA (6th Edition):

-4734-5447. (2016). Converting a Neuron-Morphology Reconstruction System: Open-Science Design and Implementation. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3168

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-4734-5447. “Converting a Neuron-Morphology Reconstruction System: Open-Science Design and Implementation.” 2016. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3168.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-4734-5447. “Converting a Neuron-Morphology Reconstruction System: Open-Science Design and Implementation.” 2016. Web. 18 Feb 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-4734-5447. Converting a Neuron-Morphology Reconstruction System: Open-Science Design and Implementation. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3168.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-4734-5447. Converting a Neuron-Morphology Reconstruction System: Open-Science Design and Implementation. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3168

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

21. Mendizabal Ruiz, Eduardo 1980-. LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA.

Degree: Computer Science, Department of, 2012, University of Houston

 Intravascular ultrasound (IVUS) is a catheter-based medical imaging technique that is capable of producing high resolution cross-sectional images of interior of blood vessels and it… (more)

Subjects/Keywords: Ultrasound; Intravascular Ultrasound; Cardiovascular disease; Segmentation; Computer science

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APA (6th Edition):

Mendizabal Ruiz, E. 1. (2012). LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mendizabal Ruiz, Eduardo 1980-. “LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA.” 2012. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mendizabal Ruiz, Eduardo 1980-. “LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA.” 2012. Web. 18 Feb 2019.

Vancouver:

Mendizabal Ruiz E1. LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA. [Internet] [Thesis]. University of Houston; 2012. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mendizabal Ruiz E1. LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA. [Thesis]. University of Houston; 2012. Available from: http://hdl.handle.net/10657/823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

22. Poursaeidi, Mohammadhossein 1984-. Nonlinear Optimization under Uncertainty for Sustainable Energy Informatics Problems.

Degree: Industrial Engineering, Department of, 2013, University of Houston

 Despite the undeniable importance of energy in the modern world, the majority of today's energy sources are unsustainable which has environmental drawbacks such as global… (more)

Subjects/Keywords: Sustainable Energy; Informatics; Data Mining; Optimization; Supervised Learning; Support Vector Machines; Constraint Programming; Multiple Instance Learning; Robust Classification; Mixed Integer Programming; Offshore Wind Energy; Wind Farm Layout Optimiza

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APA (6th Edition):

Poursaeidi, M. 1. (2013). Nonlinear Optimization under Uncertainty for Sustainable Energy Informatics Problems. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Poursaeidi, Mohammadhossein 1984-. “Nonlinear Optimization under Uncertainty for Sustainable Energy Informatics Problems.” 2013. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Poursaeidi, Mohammadhossein 1984-. “Nonlinear Optimization under Uncertainty for Sustainable Energy Informatics Problems.” 2013. Web. 18 Feb 2019.

Vancouver:

Poursaeidi M1. Nonlinear Optimization under Uncertainty for Sustainable Energy Informatics Problems. [Internet] [Thesis]. University of Houston; 2013. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Poursaeidi M1. Nonlinear Optimization under Uncertainty for Sustainable Energy Informatics Problems. [Thesis]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. Hans, Charu 1985-. IMAGE ANALYSIS FOR ZEBRAFISH VASCULATURE.

Degree: Computer Science, Department of, 2015, University of Houston

 Zebrafish has become a viable model for various research including vertebrate development, gene expression analysis, human diseases modeling, drug screening and toxicology analysis. Zebrafish have… (more)

Subjects/Keywords: Zebrafish; Image Processing; Computer science

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APA (6th Edition):

Hans, C. 1. (2015). IMAGE ANALYSIS FOR ZEBRAFISH VASCULATURE. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1147

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hans, Charu 1985-. “IMAGE ANALYSIS FOR ZEBRAFISH VASCULATURE.” 2015. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/1147.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hans, Charu 1985-. “IMAGE ANALYSIS FOR ZEBRAFISH VASCULATURE.” 2015. Web. 18 Feb 2019.

Vancouver:

Hans C1. IMAGE ANALYSIS FOR ZEBRAFISH VASCULATURE. [Internet] [Thesis]. University of Houston; 2015. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/1147.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hans C1. IMAGE ANALYSIS FOR ZEBRAFISH VASCULATURE. [Thesis]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/1147

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

24. Hoang, Son M. 1985-. A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS.

Degree: Computer Science, Department of, 2013, University of Houston

 The rapid development in semiconductor detector technology at CERN has provided the capability to develop an active personal dosimeter for use in space radiation environments.… (more)

Subjects/Keywords: Pattern recognition; Machine Learning; charged particle; Timepix

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APA (6th Edition):

Hoang, S. M. 1. (2013). A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1189

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hoang, Son M 1985-. “A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS.” 2013. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/1189.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hoang, Son M 1985-. “A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS.” 2013. Web. 18 Feb 2019.

Vancouver:

Hoang SM1. A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS. [Internet] [Thesis]. University of Houston; 2013. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/1189.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hoang SM1. A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS. [Thesis]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/1189

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

25. -2175-7099. High-Level Programming Model for Heterogeneous Embedded Systems Using Multicore Industry Standard Apis.

Degree: Computer Science, Department of, 2016, University of Houston

 Multicore embedded systems are rapidly emerging. Hardware designers are packing more and more features into their design. Introducing heterogeneity in these systems, i.e., adding cores… (more)

Subjects/Keywords: OpenMP; Embedded Systems

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APA (6th Edition):

-2175-7099. (2016). High-Level Programming Model for Heterogeneous Embedded Systems Using Multicore Industry Standard Apis. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3535

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-2175-7099. “High-Level Programming Model for Heterogeneous Embedded Systems Using Multicore Industry Standard Apis.” 2016. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3535.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-2175-7099. “High-Level Programming Model for Heterogeneous Embedded Systems Using Multicore Industry Standard Apis.” 2016. Web. 18 Feb 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-2175-7099. High-Level Programming Model for Heterogeneous Embedded Systems Using Multicore Industry Standard Apis. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3535.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-2175-7099. High-Level Programming Model for Heterogeneous Embedded Systems Using Multicore Industry Standard Apis. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3535

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

26. -3064-9455. Computational Modeling of Breast Shape Using Spherical Harmonics.

Degree: Electrical and Computer Engineering, Department of, 2018, University of Houston

 As the number of cosmetic and reconstructive breast surgeries performed have been steadily increasing over the years, there is a greater need for improved technologies,… (more)

Subjects/Keywords: breast modeling; spherical harmonics; shape analysis; classification; predictive modeling; simulation; breast reconstruction; 3D modeling

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APA (6th Edition):

-3064-9455. (2018). Computational Modeling of Breast Shape Using Spherical Harmonics. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3591

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-3064-9455. “Computational Modeling of Breast Shape Using Spherical Harmonics.” 2018. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3591.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-3064-9455. “Computational Modeling of Breast Shape Using Spherical Harmonics.” 2018. Web. 18 Feb 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3064-9455. Computational Modeling of Breast Shape Using Spherical Harmonics. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3591.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-3064-9455. Computational Modeling of Breast Shape Using Spherical Harmonics. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3591

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

27. Albayrak, Levent 1981-. Novel Alignment Based Clustering Algorithms for Pan Genome Analysis of Bacteria Species.

Degree: Computer Science, Department of, 2016, University of Houston

 Understanding the basic rules of bacterial evolution and adaptation is critical in developing new anti-bacterial drugs, the use of bacteria in biotechnology applications as well… (more)

Subjects/Keywords: bioinformatics; sequence alignment; sequence clustering; clustering algorithm; global alignment; gene profiles; functional similarity; bacteria; bartonella

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APA (6th Edition):

Albayrak, L. 1. (2016). Novel Alignment Based Clustering Algorithms for Pan Genome Analysis of Bacteria Species. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Albayrak, Levent 1981-. “Novel Alignment Based Clustering Algorithms for Pan Genome Analysis of Bacteria Species.” 2016. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Albayrak, Levent 1981-. “Novel Alignment Based Clustering Algorithms for Pan Genome Analysis of Bacteria Species.” 2016. Web. 18 Feb 2019.

Vancouver:

Albayrak L1. Novel Alignment Based Clustering Algorithms for Pan Genome Analysis of Bacteria Species. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Albayrak L1. Novel Alignment Based Clustering Algorithms for Pan Genome Analysis of Bacteria Species. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

28. Xu, Rengan 1987-. Optimizing the Performance of Directive-based Programming Model for GPGPUs.

Degree: Computer Science, Department of, 2016, University of Houston

 Accelerators have been deployed on most major HPC systems. They are considered to improve the performance of many applications. Accelerators such as GPUs have an… (more)

Subjects/Keywords: GPU; OpenACC; OpenMP; Directives; Parallel Programming; HPC; Programming Model

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

APA (6th Edition):

Xu, R. 1. (2016). Optimizing the Performance of Directive-based Programming Model for GPGPUs. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3211

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xu, Rengan 1987-. “Optimizing the Performance of Directive-based Programming Model for GPGPUs.” 2016. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3211.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Rengan 1987-. “Optimizing the Performance of Directive-based Programming Model for GPGPUs.” 2016. Web. 18 Feb 2019.

Vancouver:

Xu R1. Optimizing the Performance of Directive-based Programming Model for GPGPUs. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3211.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu R1. Optimizing the Performance of Directive-based Programming Model for GPGPUs. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3211

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

29. -1801-637X. High-Performance Sparse Fourier Transform on Parallel Architectures.

Degree: Computer Science, Department of, 2016, University of Houston

 Fast Fourier Transform (FFT) is one of the most important numerical algorithms widely used in numerous scientific and engineering computations. With the emergence of big… (more)

Subjects/Keywords: Sparse FFT; Parallel Computing; Compressive Sensing; GPU

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

APA (6th Edition):

-1801-637X. (2016). High-Performance Sparse Fourier Transform on Parallel Architectures. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3269

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-1801-637X. “High-Performance Sparse Fourier Transform on Parallel Architectures.” 2016. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3269.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-1801-637X. “High-Performance Sparse Fourier Transform on Parallel Architectures.” 2016. Web. 18 Feb 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-1801-637X. High-Performance Sparse Fourier Transform on Parallel Architectures. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3269.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-1801-637X. High-Performance Sparse Fourier Transform on Parallel Architectures. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3269

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

30. Barigou, Youcef 1987-. On Communication-Computation Overlap in High-Performance Computing.

Degree: Computer Science, Department of, 2016, University of Houston

 The number of compute nodes and cores per node have increased many fold on high end computer systems over the last decade. For a parallel… (more)

Subjects/Keywords: High Performance Computing; Message Passing Interface; MPI; Collective Operations; Communication-computation Overlap; Optimization; Distributed Memory Computing; Automatic Parallelization

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

APA (6th Edition):

Barigou, Y. 1. (2016). On Communication-Computation Overlap in High-Performance Computing. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3274

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Barigou, Youcef 1987-. “On Communication-Computation Overlap in High-Performance Computing.” 2016. Thesis, University of Houston. Accessed February 18, 2019. http://hdl.handle.net/10657/3274.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Barigou, Youcef 1987-. “On Communication-Computation Overlap in High-Performance Computing.” 2016. Web. 18 Feb 2019.

Vancouver:

Barigou Y1. On Communication-Computation Overlap in High-Performance Computing. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Feb 18]. Available from: http://hdl.handle.net/10657/3274.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Barigou Y1. On Communication-Computation Overlap in High-Performance Computing. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3274

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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