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You searched for +publisher:"University of Houston" +contributor:("Shah, Shishir"). Showing records 1 – 30 of 52 total matches.

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University of Houston

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

Degree: MS, Computer Science, 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. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/560

Chicago Manual of Style (16th Edition):

Biediger, Dan 1974-. “Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images.” 2012. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/560.

MLA Handbook (7th Edition):

Biediger, Dan 1974-. “Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images.” 2012. Web. 31 May 2020.

Vancouver:

Biediger D1. Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images. [Internet] [Masters thesis]. University of Houston; 2012. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/560.

Council of Science Editors:

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


University of Houston

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

Degree: MS, Computer Science, 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; Gaussian Kernel Density Estimation; Bayesian inference

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Sghir, Ilyes 1990-. “Modeling Human Motion for Predicting Usage of Hospital Operating Room.” 2014. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1458.

MLA Handbook (7th Edition):

Sghir, Ilyes 1990-. “Modeling Human Motion for Predicting Usage of Hospital Operating Room.” 2014. Web. 31 May 2020.

Vancouver:

Sghir I1. Modeling Human Motion for Predicting Usage of Hospital Operating Room. [Internet] [Masters thesis]. University of Houston; 2014. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/1458.

Council of Science Editors:

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


University of Houston

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

Degree: MS, Computer Science, 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. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3117

Chicago Manual of Style (16th Edition):

Kotadia, Kinjal 1994-. “Extracting Social Network Groups from Video Data Using Motion Similarity and Network Clustering.” 2018. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/3117.

MLA Handbook (7th Edition):

Kotadia, Kinjal 1994-. “Extracting Social Network Groups from Video Data Using Motion Similarity and Network Clustering.” 2018. Web. 31 May 2020.

Vancouver:

Kotadia K1. Extracting Social Network Groups from Video Data Using Motion Similarity and Network Clustering. [Internet] [Masters thesis]. University of Houston; 2018. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/3117.

Council of Science Editors:

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


University of Houston

4. -3661-527X. Development of a Hybrid EEG-NIRS Brain-Computer Interface for Multiple Motor Tasks.

Degree: MS, Computer Science, 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. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1993

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-3661-527X. “Development of a Hybrid EEG-NIRS Brain-Computer Interface for Multiple Motor Tasks.” 2015. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1993.

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

MLA Handbook (7th Edition):

-3661-527X. “Development of a Hybrid EEG-NIRS Brain-Computer Interface for Multiple Motor Tasks.” 2015. Web. 31 May 2020.

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] [Masters thesis]. University of Houston; 2015. [cited 2020 May 31]. 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

Council of Science Editors:

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

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Author name may be incomplete


University of Houston

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

Degree: MS, Computer Science, 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. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/675

Chicago Manual of Style (16th Edition):

Saha, Manas K 1966-. “A Code Structure Visualization Tool for Groovy.” 2013. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/675.

MLA Handbook (7th Edition):

Saha, Manas K 1966-. “A Code Structure Visualization Tool for Groovy.” 2013. Web. 31 May 2020.

Vancouver:

Saha MK1. A Code Structure Visualization Tool for Groovy. [Internet] [Masters thesis]. University of Houston; 2013. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/675.

Council of Science Editors:

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


University of Houston

6. -4734-5447. Converting a Neuron-Morphology Reconstruction System: Open-Science Design and Implementation.

Degree: MS, Computer Science, 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; Neurosciences; 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. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3168

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-4734-5447. “Converting a Neuron-Morphology Reconstruction System: Open-Science Design and Implementation.” 2016. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/3168.

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Author name may be incomplete

MLA Handbook (7th Edition):

-4734-5447. “Converting a Neuron-Morphology Reconstruction System: Open-Science Design and Implementation.” 2016. Web. 31 May 2020.

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] [Masters thesis]. University of Houston; 2016. [cited 2020 May 31]. 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

Council of Science Editors:

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

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Author name may be incomplete


University of Houston

7. -4445-2186. An Interactive Pedestrian Re-Identification Tool with Semantic Based Re-Identification.

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

 Person re-identification is an essential task of recognizing and matching people from non-overlapping cameras. A typical application of person re-identification is identifying a particular person… (more)

Subjects/Keywords: Person re-identification; Semantic

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APA (6th Edition):

-4445-2186. (2016). An Interactive Pedestrian Re-Identification Tool with Semantic Based Re-Identification. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/5431

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-4445-2186. “An Interactive Pedestrian Re-Identification Tool with Semantic Based Re-Identification.” 2016. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/5431.

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

MLA Handbook (7th Edition):

-4445-2186. “An Interactive Pedestrian Re-Identification Tool with Semantic Based Re-Identification.” 2016. Web. 31 May 2020.

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

Vancouver:

-4445-2186. An Interactive Pedestrian Re-Identification Tool with Semantic Based Re-Identification. [Internet] [Masters thesis]. University of Houston; 2016. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/5431.

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

Council of Science Editors:

-4445-2186. An Interactive Pedestrian Re-Identification Tool with Semantic Based Re-Identification. [Masters Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/5431

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Author name may be incomplete


University of Houston

8. Wei, Li 1988-. Contextual Information for Applications in Video Surveillance.

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

 With a growing network of cameras being used for security applications, video-based monitoring relying on human operators is ineffective and lacking in reliability and scalability.… (more)

Subjects/Keywords: Context Information; Person re-identification; Activity recognition; Video analytics

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APA (6th Edition):

Wei, L. 1. (2016). Contextual Information for Applications in Video Surveillance. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/5394

Chicago Manual of Style (16th Edition):

Wei, Li 1988-. “Contextual Information for Applications in Video Surveillance.” 2016. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/5394.

MLA Handbook (7th Edition):

Wei, Li 1988-. “Contextual Information for Applications in Video Surveillance.” 2016. Web. 31 May 2020.

Vancouver:

Wei L1. Contextual Information for Applications in Video Surveillance. [Internet] [Doctoral dissertation]. University of Houston; 2016. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/5394.

Council of Science Editors:

Wei L1. Contextual Information for Applications in Video Surveillance. [Doctoral Dissertation]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/5394


University of Houston

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

Degree: MSin Electrical Engineering, Electrical Engineering, 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; Cellular networks; Active learning; Electrical engineering

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Hulikal Somasundar, Vinay 1988-. “Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning.” 2012. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/826.

MLA Handbook (7th Edition):

Hulikal Somasundar, Vinay 1988-. “Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning.” 2012. Web. 31 May 2020.

Vancouver:

Hulikal Somasundar V1. Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning. [Internet] [Masters thesis]. University of Houston; 2012. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/826.

Council of Science Editors:

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


University of Houston

10. -8617-9683. A Computational Study of Visual Attention on Objects and Gestures during Infancy.

Degree: PhD, Computer Science, 2017, University of Houston

 Understanding the pathway to the development of visual attention and the role of vision in object name learning during infancy have been one of the… (more)

Subjects/Keywords: Object name learning; Infant visual attention; Head camera; Object segmentation; Motion analysis

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APA (6th Edition):

-8617-9683. (2017). A Computational Study of Visual Attention on Objects and Gestures during Infancy. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4809

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

Chicago Manual of Style (16th Edition):

-8617-9683. “A Computational Study of Visual Attention on Objects and Gestures during Infancy.” 2017. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/4809.

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

MLA Handbook (7th Edition):

-8617-9683. “A Computational Study of Visual Attention on Objects and Gestures during Infancy.” 2017. Web. 31 May 2020.

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

Vancouver:

-8617-9683. A Computational Study of Visual Attention on Objects and Gestures during Infancy. [Internet] [Doctoral dissertation]. University of Houston; 2017. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/4809.

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

Council of Science Editors:

-8617-9683. A Computational Study of Visual Attention on Objects and Gestures during Infancy. [Doctoral Dissertation]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4809

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


University of Houston

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

Degree: MS, Computer Science, 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. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1495

Chicago Manual of Style (16th Edition):

Pampana, Renuka 1990-. “A New Approach To Domain Adaptation Applied To Supernova Photometric Classification.” 2016. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1495.

MLA Handbook (7th Edition):

Pampana, Renuka 1990-. “A New Approach To Domain Adaptation Applied To Supernova Photometric Classification.” 2016. Web. 31 May 2020.

Vancouver:

Pampana R1. A New Approach To Domain Adaptation Applied To Supernova Photometric Classification. [Internet] [Masters thesis]. University of Houston; 2016. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/1495.

Council of Science Editors:

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


University of Houston

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

Degree: MS, Computer Science, 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. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/827

Chicago Manual of Style (16th Edition):

Chu, Dat 1985-. “Discriminative Semi-coupled Dictionary Learning for Face Recognition.” 2012. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/827.

MLA Handbook (7th Edition):

Chu, Dat 1985-. “Discriminative Semi-coupled Dictionary Learning for Face Recognition.” 2012. Web. 31 May 2020.

Vancouver:

Chu D1. Discriminative Semi-coupled Dictionary Learning for Face Recognition. [Internet] [Masters thesis]. University of Houston; 2012. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/827.

Council of Science Editors:

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


University of Houston

13. -7980-2791. Segmentation, Analysis and Visualization of Large Microvascular Networks in the Mouse Brain.

Degree: PhD, Computer Science, 2019, University of Houston

 Advances in high-throughput microscopy allow researchers to collect three-dimensional images of whole organ vascular networks at sub-micrometer resolution. Microvascular networks are highly sparse and space-filling,… (more)

Subjects/Keywords: Segmentation; Visualization; Graph; Image processing; Microvasculature

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APA (6th Edition):

-7980-2791. (2019). Segmentation, Analysis and Visualization of Large Microvascular Networks in the Mouse Brain. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4702

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

Chicago Manual of Style (16th Edition):

-7980-2791. “Segmentation, Analysis and Visualization of Large Microvascular Networks in the Mouse Brain.” 2019. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/4702.

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

MLA Handbook (7th Edition):

-7980-2791. “Segmentation, Analysis and Visualization of Large Microvascular Networks in the Mouse Brain.” 2019. Web. 31 May 2020.

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

Vancouver:

-7980-2791. Segmentation, Analysis and Visualization of Large Microvascular Networks in the Mouse Brain. [Internet] [Doctoral dissertation]. University of Houston; 2019. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/4702.

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

Council of Science Editors:

-7980-2791. Segmentation, Analysis and Visualization of Large Microvascular Networks in the Mouse Brain. [Doctoral Dissertation]. University of Houston; 2019. Available from: http://hdl.handle.net/10657/4702

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


University of Houston

14. Mantini, Pranav 1985-. Contextual Human Trajectory Forecasting within Indoor Environments and Its Applications.

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

 A human trajectory is the likely path a human subject would take to get to a destination. Human trajectory forecasting algorithms try to estimate or… (more)

Subjects/Keywords: Human trajectory forecasting; Human motion; Person re-identification; People tracking; Camera network; Camera placement; Human behavior

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APA (6th Edition):

Mantini, P. 1. (2015). Contextual Human Trajectory Forecasting within Indoor Environments and Its Applications. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4880

Chicago Manual of Style (16th Edition):

Mantini, Pranav 1985-. “Contextual Human Trajectory Forecasting within Indoor Environments and Its Applications.” 2015. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/4880.

MLA Handbook (7th Edition):

Mantini, Pranav 1985-. “Contextual Human Trajectory Forecasting within Indoor Environments and Its Applications.” 2015. Web. 31 May 2020.

Vancouver:

Mantini P1. Contextual Human Trajectory Forecasting within Indoor Environments and Its Applications. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/4880.

Council of Science Editors:

Mantini P1. Contextual Human Trajectory Forecasting within Indoor Environments and Its Applications. [Doctoral Dissertation]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/4880

15. -5336-1841. Effective Identity Management on Mobile Devices Using Multi-Sensor Measurements.

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

 Due to the dramatic increase in popularity of mobile devices in the past decade, sensitive user information is stored and accessed on these devices every… (more)

Subjects/Keywords: Mobile Security; Identity management

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APA (6th Edition):

-5336-1841. (2015). Effective Identity Management on Mobile Devices Using Multi-Sensor Measurements. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1748

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-5336-1841. “Effective Identity Management on Mobile Devices Using Multi-Sensor Measurements.” 2015. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1748.

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

MLA Handbook (7th Edition):

-5336-1841. “Effective Identity Management on Mobile Devices Using Multi-Sensor Measurements.” 2015. Web. 31 May 2020.

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

Vancouver:

-5336-1841. Effective Identity Management on Mobile Devices Using Multi-Sensor Measurements. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/1748.

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

Council of Science Editors:

-5336-1841. Effective Identity Management on Mobile Devices Using Multi-Sensor Measurements. [Doctoral Dissertation]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/1748

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


University of Houston

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

Degree: PhD, Computer Science, 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 models

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Xu, Rengan 1987-. “Optimizing the Performance of Directive-based Programming Model for GPGPUs.” 2016. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/3211.

MLA Handbook (7th Edition):

Xu, Rengan 1987-. “Optimizing the Performance of Directive-based Programming Model for GPGPUs.” 2016. Web. 31 May 2020.

Vancouver:

Xu R1. Optimizing the Performance of Directive-based Programming Model for GPGPUs. [Internet] [Doctoral dissertation]. University of Houston; 2016. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/3211.

Council of Science Editors:

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


University of Houston

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

Degree: PhD, Computer Science, 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 diseases; Segmentation; Computer science

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

APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Mendizabal Ruiz, Eduardo 1980-. “LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA.” 2012. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/823.

MLA Handbook (7th Edition):

Mendizabal Ruiz, Eduardo 1980-. “LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA.” 2012. Web. 31 May 2020.

Vancouver:

Mendizabal Ruiz E1. LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA. [Internet] [Doctoral dissertation]. University of Houston; 2012. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/823.

Council of Science Editors:

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


University of Houston

18. Almogahed, Bassam A. 1980-. Toward Improved Classification of Imbalanced Data.

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

 There is an unprecedented amount of data available. This has caused knowledge discovery to garner attention in recent years. However, many real-world datasets are imbalanced.… (more)

Subjects/Keywords: Classification; Imbalanced data

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APA (6th Edition):

Almogahed, B. A. 1. (2014). Toward Improved Classification of Imbalanced Data. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1910

Chicago Manual of Style (16th Edition):

Almogahed, Bassam A 1980-. “Toward Improved Classification of Imbalanced Data.” 2014. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1910.

MLA Handbook (7th Edition):

Almogahed, Bassam A 1980-. “Toward Improved Classification of Imbalanced Data.” 2014. Web. 31 May 2020.

Vancouver:

Almogahed BA1. Toward Improved Classification of Imbalanced Data. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/1910.

Council of Science Editors:

Almogahed BA1. Toward Improved Classification of Imbalanced Data. [Doctoral Dissertation]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1910


University of Houston

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

Degree: PhD, Computer Science, 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. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1189

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. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1189.

MLA Handbook (7th Edition):

Hoang, Son M 1985-. “A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS.” 2013. Web. 31 May 2020.

Vancouver:

Hoang SM1. A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS. [Internet] [Doctoral dissertation]. University of Houston; 2013. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/1189.

Council of Science Editors:

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


University of Houston

20. Amalaman, Paul K. 1966-. New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications.

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

 Obtaining hierarchical organizations of knowledge is important in many domains. To create such hierarchies, improved techniques for subdividing entities hierarchically ac-cording to similarities and differences… (more)

Subjects/Keywords: Decision trees; Regression tree; Classification tree; Supervised taxonomy; Hierarchical clustering

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APA (6th Edition):

Amalaman, P. K. 1. (2015). New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4888

Chicago Manual of Style (16th Edition):

Amalaman, Paul K 1966-. “New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications.” 2015. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/4888.

MLA Handbook (7th Edition):

Amalaman, Paul K 1966-. “New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications.” 2015. Web. 31 May 2020.

Vancouver:

Amalaman PK1. New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/4888.

Council of Science Editors:

Amalaman PK1. New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications. [Doctoral Dissertation]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/4888


University of Houston

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

Degree: PhD, Computer Science, 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; Automatic Parallelization

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Barigou, Youcef 1987-. “On Communication-Computation Overlap in High-Performance Computing.” 2016. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/3274.

MLA Handbook (7th Edition):

Barigou, Youcef 1987-. “On Communication-Computation Overlap in High-Performance Computing.” 2016. Web. 31 May 2020.

Vancouver:

Barigou Y1. On Communication-Computation Overlap in High-Performance Computing. [Internet] [Doctoral dissertation]. University of Houston; 2016. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/3274.

Council of Science Editors:

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

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

Degree: PhD, Computer Science, 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. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1147

Chicago Manual of Style (16th Edition):

Hans, Charu 1985-. “IMAGE ANALYSIS FOR ZEBRAFISH VASCULATURE.” 2015. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1147.

MLA Handbook (7th Edition):

Hans, Charu 1985-. “IMAGE ANALYSIS FOR ZEBRAFISH VASCULATURE.” 2015. Web. 31 May 2020.

Vancouver:

Hans C1. IMAGE ANALYSIS FOR ZEBRAFISH VASCULATURE. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/1147.

Council of Science Editors:

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


University of Houston

23. Tuna, Tayfun 1981-. Automated Lecture Video Indexing With Text Analysis and Machine Learning.

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

 Videos recorded during in-class teaching and made accessible online are a versatile resource on par with a textbook and the classroom itself. Nonetheless, the adoption… (more)

Subjects/Keywords: Lecture videos; Topic-based Segmentation; Video Indexing; Machine learning

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APA (6th Edition):

Tuna, T. 1. (2015). Automated Lecture Video Indexing With Text Analysis and Machine Learning. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1772

Chicago Manual of Style (16th Edition):

Tuna, Tayfun 1981-. “Automated Lecture Video Indexing With Text Analysis and Machine Learning.” 2015. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1772.

MLA Handbook (7th Edition):

Tuna, Tayfun 1981-. “Automated Lecture Video Indexing With Text Analysis and Machine Learning.” 2015. Web. 31 May 2020.

Vancouver:

Tuna T1. Automated Lecture Video Indexing With Text Analysis and Machine Learning. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/1772.

Council of Science Editors:

Tuna T1. Automated Lecture Video Indexing With Text Analysis and Machine Learning. [Doctoral Dissertation]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/1772


University of Houston

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

Degree: MS, Computer Science, 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. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1711

Chicago Manual of Style (16th Edition):

Hervey, Marcus W 1970-. “Enhanced Debugging of Data Races in Parallel Programs Using OpenMP.” 2016. Masters Thesis, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1711.

MLA Handbook (7th Edition):

Hervey, Marcus W 1970-. “Enhanced Debugging of Data Races in Parallel Programs Using OpenMP.” 2016. Web. 31 May 2020.

Vancouver:

Hervey MW1. Enhanced Debugging of Data Races in Parallel Programs Using OpenMP. [Internet] [Masters thesis]. University of Houston; 2016. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/1711.

Council of Science Editors:

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


University of Houston

25. Yan, Xu 1986-. Modeling Local Behavior for Multi-Person Tracking.

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

 Multiple-pedestrian tracking in unconstrained environments is an important task that has received considerable attention from the computer vision community in the past two decades. Accurate… (more)

Subjects/Keywords: Multi-person Tracking; Local Behavior

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APA (6th Edition):

Yan, X. 1. (2014). Modeling Local Behavior for Multi-Person Tracking. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1895

Chicago Manual of Style (16th Edition):

Yan, Xu 1986-. “Modeling Local Behavior for Multi-Person Tracking.” 2014. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1895.

MLA Handbook (7th Edition):

Yan, Xu 1986-. “Modeling Local Behavior for Multi-Person Tracking.” 2014. Web. 31 May 2020.

Vancouver:

Yan X1. Modeling Local Behavior for Multi-Person Tracking. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/1895.

Council of Science Editors:

Yan X1. Modeling Local Behavior for Multi-Person Tracking. [Doctoral Dissertation]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1895


University of Houston

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

Degree: PhD, Industrial Engineering, 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. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/923

Chicago Manual of Style (16th Edition):

Poursaeidi, Mohammadhossein 1984-. “Nonlinear Optimization under Uncertainty for Sustainable Energy Informatics Problems.” 2013. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/923.

MLA Handbook (7th Edition):

Poursaeidi, Mohammadhossein 1984-. “Nonlinear Optimization under Uncertainty for Sustainable Energy Informatics Problems.” 2013. Web. 31 May 2020.

Vancouver:

Poursaeidi M1. Nonlinear Optimization under Uncertainty for Sustainable Energy Informatics Problems. [Internet] [Doctoral dissertation]. University of Houston; 2013. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/923.

Council of Science Editors:

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


University of Houston

27. Gala, Apurva 1980-. Person Re-Identification in Distributed Wide-Area Surveillance.

Degree: PhD, Computer Vision, 2014, University of Houston

 Person re-identification (Re-ID) is a fundamental task in automated video surveillance and has been an area of intense research in the past few years. Given… (more)

Subjects/Keywords: Person re-identification; Open-set Re-ID; Closed-set Re-ID; Short-period Re-ID; Long-period Re-ID; Novelty detection

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APA (6th Edition):

Gala, A. 1. (2014). Person Re-Identification in Distributed Wide-Area Surveillance. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/5358

Chicago Manual of Style (16th Edition):

Gala, Apurva 1980-. “Person Re-Identification in Distributed Wide-Area Surveillance.” 2014. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/5358.

MLA Handbook (7th Edition):

Gala, Apurva 1980-. “Person Re-Identification in Distributed Wide-Area Surveillance.” 2014. Web. 31 May 2020.

Vancouver:

Gala A1. Person Re-Identification in Distributed Wide-Area Surveillance. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/5358.

Council of Science Editors:

Gala A1. Person Re-Identification in Distributed Wide-Area Surveillance. [Doctoral Dissertation]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/5358


University of Houston

28. -2629-031X. Adaptive Task Scheduling Using Low-Level Runtime APIs and Machine Learning.

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

 The introduction of task constructs in the OpenMP programming model offers a user a new way to specifying parallelism within applications while making the OpenMP… (more)

Subjects/Keywords: Adaptive scheduling; Machine learning; OpenMP Performance Tools (OMPT); Collector APIs; OpenMP Tasks; Similarity analysis

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APA (6th Edition):

-2629-031X. (2015). Adaptive Task Scheduling Using Low-Level Runtime APIs and Machine Learning. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4882

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

Chicago Manual of Style (16th Edition):

-2629-031X. “Adaptive Task Scheduling Using Low-Level Runtime APIs and Machine Learning.” 2015. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/4882.

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

MLA Handbook (7th Edition):

-2629-031X. “Adaptive Task Scheduling Using Low-Level Runtime APIs and Machine Learning.” 2015. Web. 31 May 2020.

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

Vancouver:

-2629-031X. Adaptive Task Scheduling Using Low-Level Runtime APIs and Machine Learning. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/4882.

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

Council of Science Editors:

-2629-031X. Adaptive Task Scheduling Using Low-Level Runtime APIs and Machine Learning. [Doctoral Dissertation]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/4882

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

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

Degree: PhD, Computer Science, 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 (6th Edition):

-1801-637X. (2016). High-Performance Sparse Fourier Transform on Parallel Architectures. (Doctoral Dissertation). 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

Chicago Manual of Style (16th Edition):

-1801-637X. “High-Performance Sparse Fourier Transform on Parallel Architectures.” 2016. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/3269.

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

MLA Handbook (7th Edition):

-1801-637X. “High-Performance Sparse Fourier Transform on Parallel Architectures.” 2016. Web. 31 May 2020.

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] [Doctoral dissertation]. University of Houston; 2016. [cited 2020 May 31]. 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

Council of Science Editors:

-1801-637X. High-Performance Sparse Fourier Transform on Parallel Architectures. [Doctoral Dissertation]. 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


University of Houston

30. Le, Yen H. 1984-. Shape Priors for Segmentation of Mouse Brain in Gene Expression Images.

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

 The quantification and comparison of gene expression data across images plays a key role in understanding the functional network of various genes. To enable studying… (more)

Subjects/Keywords: Statistical shape model; PDM; ASM; PDM-ENLOR; Gene expression images

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

APA (6th Edition):

Le, Y. H. 1. (2014). Shape Priors for Segmentation of Mouse Brain in Gene Expression Images. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1793

Chicago Manual of Style (16th Edition):

Le, Yen H 1984-. “Shape Priors for Segmentation of Mouse Brain in Gene Expression Images.” 2014. Doctoral Dissertation, University of Houston. Accessed May 31, 2020. http://hdl.handle.net/10657/1793.

MLA Handbook (7th Edition):

Le, Yen H 1984-. “Shape Priors for Segmentation of Mouse Brain in Gene Expression Images.” 2014. Web. 31 May 2020.

Vancouver:

Le YH1. Shape Priors for Segmentation of Mouse Brain in Gene Expression Images. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2020 May 31]. Available from: http://hdl.handle.net/10657/1793.

Council of Science Editors:

Le YH1. Shape Priors for Segmentation of Mouse Brain in Gene Expression Images. [Doctoral Dissertation]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1793

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