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You searched for +publisher:"University of Houston" +contributor:("Eick, Christoph F."). Showing records 1 – 30 of 37 total matches.

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University of Houston

1. Budhavarapu, Aparna. Satpura: A Novel Framework for Density Estimation, Hotspot Discovery, Change Analysis, and Change-based Alerts.

Degree: MS, Computer Science, 2020, University of Houston

 Due to the technological advancement in remote sensors and sensor networks, different types of spatio-temporal data are increasingly available. Spatio-temporal data analysis has applications in… (more)

Subjects/Keywords: Satpura

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APA (6th Edition):

Budhavarapu, A. (2020). Satpura: A Novel Framework for Density Estimation, Hotspot Discovery, Change Analysis, and Change-based Alerts. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/6623

Chicago Manual of Style (16th Edition):

Budhavarapu, Aparna. “Satpura: A Novel Framework for Density Estimation, Hotspot Discovery, Change Analysis, and Change-based Alerts.” 2020. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/6623.

MLA Handbook (7th Edition):

Budhavarapu, Aparna. “Satpura: A Novel Framework for Density Estimation, Hotspot Discovery, Change Analysis, and Change-based Alerts.” 2020. Web. 06 Mar 2021.

Vancouver:

Budhavarapu A. Satpura: A Novel Framework for Density Estimation, Hotspot Discovery, Change Analysis, and Change-based Alerts. [Internet] [Masters thesis]. University of Houston; 2020. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/6623.

Council of Science Editors:

Budhavarapu A. Satpura: A Novel Framework for Density Estimation, Hotspot Discovery, Change Analysis, and Change-based Alerts. [Masters Thesis]. University of Houston; 2020. Available from: http://hdl.handle.net/10657/6623


University of Houston

2. -7251-2238. Computational Methods for Tweet Summarization and Emotion Extraction.

Degree: MS, Computer Science, 2020, University of Houston

 The process of gathering insights from social media has gained significant importance in the last decade. Since social media data is growing larger and larger,… (more)

Subjects/Keywords: NLP; Twitter Analytics; Tweet Summarization; Sentiment Analysis

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APA (6th Edition):

-7251-2238. (2020). Computational Methods for Tweet Summarization and Emotion Extraction. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/6617

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

Chicago Manual of Style (16th Edition):

-7251-2238. “Computational Methods for Tweet Summarization and Emotion Extraction.” 2020. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/6617.

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

MLA Handbook (7th Edition):

-7251-2238. “Computational Methods for Tweet Summarization and Emotion Extraction.” 2020. Web. 06 Mar 2021.

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

Vancouver:

-7251-2238. Computational Methods for Tweet Summarization and Emotion Extraction. [Internet] [Masters thesis]. University of Houston; 2020. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/6617.

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

Council of Science Editors:

-7251-2238. Computational Methods for Tweet Summarization and Emotion Extraction. [Masters Thesis]. University of Houston; 2020. Available from: http://hdl.handle.net/10657/6617

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


University of Houston

3. 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 March 06, 2021. http://hdl.handle.net/10657/560.

MLA Handbook (7th Edition):

Biediger, Dan 1974-. “Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images.” 2012. Web. 06 Mar 2021.

Vancouver:

Biediger D1. Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images. [Internet] [Masters thesis]. University of Houston; 2012. [cited 2021 Mar 06]. 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

4. -4085-1454. Design and Implementation of Real-time Student Performance Evaluation and Feedback System.

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

 Undergraduate education is challenged by high dropout rates and by delayed student graduation due to dropping courses or having to repeat courses due to low… (more)

Subjects/Keywords: Educational data mining; Data analysis; Machine learning

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APA (6th Edition):

-4085-1454. (2017). Design and Implementation of Real-time Student Performance Evaluation and Feedback System. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/4565

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

Chicago Manual of Style (16th Edition):

-4085-1454. “Design and Implementation of Real-time Student Performance Evaluation and Feedback System.” 2017. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/4565.

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

MLA Handbook (7th Edition):

-4085-1454. “Design and Implementation of Real-time Student Performance Evaluation and Feedback System.” 2017. Web. 06 Mar 2021.

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

Vancouver:

-4085-1454. Design and Implementation of Real-time Student Performance Evaluation and Feedback System. [Internet] [Masters thesis]. University of Houston; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/4565.

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

Council of Science Editors:

-4085-1454. Design and Implementation of Real-time Student Performance Evaluation and Feedback System. [Masters Thesis]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4565

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


University of Houston

5. 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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Kotadia K1. Extracting Social Network Groups from Video Data Using Motion Similarity and Network Clustering. [Internet] [Masters thesis]. University of Houston; 2018. [cited 2021 Mar 06]. 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

6. Man, Xiaoxi 1984-. DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL.

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

 In recent years the widespread usage of scanning device, such as GPS-enabled devices, PDAs, and video cameras, has resulted in an abundance of spatial data.… (more)

Subjects/Keywords: Co-location; Ripley's k-function; K-nearest neighbor distance

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APA (6th Edition):

Man, X. 1. (2014). DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1613

Chicago Manual of Style (16th Edition):

Man, Xiaoxi 1984-. “DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL.” 2014. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/1613.

MLA Handbook (7th Edition):

Man, Xiaoxi 1984-. “DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL.” 2014. Web. 06 Mar 2021.

Vancouver:

Man X1. DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL. [Internet] [Masters thesis]. University of Houston; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/1613.

Council of Science Editors:

Man X1. DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL. [Masters Thesis]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1613


University of Houston

7. Jidagam, Rohith 1990-. Design and Implementation of Faculty Support System to Reduce Course Dropout Rates.

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

 The primary goal of educational systems is not only to provide quality of education but also to make sure that students graduate with a strong… (more)

Subjects/Keywords: Educational data mining; Decision trees; Random forests; Naïve Bayes; Multiple Layer Neural Networks; Classification; Student performance

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APA (6th Edition):

Jidagam, R. 1. (2016). Design and Implementation of Faculty Support System to Reduce Course Dropout Rates. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3208

Chicago Manual of Style (16th Edition):

Jidagam, Rohith 1990-. “Design and Implementation of Faculty Support System to Reduce Course Dropout Rates.” 2016. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/3208.

MLA Handbook (7th Edition):

Jidagam, Rohith 1990-. “Design and Implementation of Faculty Support System to Reduce Course Dropout Rates.” 2016. Web. 06 Mar 2021.

Vancouver:

Jidagam R1. Design and Implementation of Faculty Support System to Reduce Course Dropout Rates. [Internet] [Masters thesis]. University of Houston; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/3208.

Council of Science Editors:

Jidagam R1. Design and Implementation of Faculty Support System to Reduce Course Dropout Rates. [Masters Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3208


University of Houston

8. Kulkarni, Akshay Bhavani Kumar 1994-. Early Detection of Depression.

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

 Depression is a mental disorder that affects more than 300 million people worldwide. An individual suffering from depression functions poorly in life, is prone to… (more)

Subjects/Keywords: Natural Language Processing; Health care

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APA (6th Edition):

Kulkarni, A. B. K. 1. (2018). Early Detection of Depression. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3089

Chicago Manual of Style (16th Edition):

Kulkarni, Akshay Bhavani Kumar 1994-. “Early Detection of Depression.” 2018. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/3089.

MLA Handbook (7th Edition):

Kulkarni, Akshay Bhavani Kumar 1994-. “Early Detection of Depression.” 2018. Web. 06 Mar 2021.

Vancouver:

Kulkarni ABK1. Early Detection of Depression. [Internet] [Masters thesis]. University of Houston; 2018. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/3089.

Council of Science Editors:

Kulkarni ABK1. Early Detection of Depression. [Masters Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3089


University of Houston

9. Zhang, Yongli 1990-. Density-Contour Based Framework for Spatio-Temporal Clustering and Event Tracking in Twitter.

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

 Due to the advances in remote sensors and sensor networks, different types of spatio-temporal datasets have become increasingly available. Revealing interesting spatio-temporal patterns from such… (more)

Subjects/Keywords: Spatio-temporal clustering; Event tracking

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APA (6th Edition):

Zhang, Y. 1. (2018). Density-Contour Based Framework for Spatio-Temporal Clustering and Event Tracking in Twitter. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/5707

Chicago Manual of Style (16th Edition):

Zhang, Yongli 1990-. “Density-Contour Based Framework for Spatio-Temporal Clustering and Event Tracking in Twitter.” 2018. Doctoral Dissertation, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/5707.

MLA Handbook (7th Edition):

Zhang, Yongli 1990-. “Density-Contour Based Framework for Spatio-Temporal Clustering and Event Tracking in Twitter.” 2018. Web. 06 Mar 2021.

Vancouver:

Zhang Y1. Density-Contour Based Framework for Spatio-Temporal Clustering and Event Tracking in Twitter. [Internet] [Doctoral dissertation]. University of Houston; 2018. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/5707.

Council of Science Editors:

Zhang Y1. Density-Contour Based Framework for Spatio-Temporal Clustering and Event Tracking in Twitter. [Doctoral Dissertation]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/5707


University of Houston

10. Chebolu, Siva Uday Sampreeth 1995-. A General Summarization Matrix for Scalable Machine Learning Model Computation in the R Language.

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

 Data analysis is an essential task for research. Modern large datasets indeed contain a high volume of data and may require a parallel DBMS, Hadoop… (more)

Subjects/Keywords: Summarization; Gamma; Machine learning; Linear regression; PCA; Naïve Bayes; K-Means; R machine learning

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APA (6th Edition):

Chebolu, S. U. S. 1. (2019). A General Summarization Matrix for Scalable Machine Learning Model Computation in the R Language. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/4465

Chicago Manual of Style (16th Edition):

Chebolu, Siva Uday Sampreeth 1995-. “A General Summarization Matrix for Scalable Machine Learning Model Computation in the R Language.” 2019. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/4465.

MLA Handbook (7th Edition):

Chebolu, Siva Uday Sampreeth 1995-. “A General Summarization Matrix for Scalable Machine Learning Model Computation in the R Language.” 2019. Web. 06 Mar 2021.

Vancouver:

Chebolu SUS1. A General Summarization Matrix for Scalable Machine Learning Model Computation in the R Language. [Internet] [Masters thesis]. University of Houston; 2019. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/4465.

Council of Science Editors:

Chebolu SUS1. A General Summarization Matrix for Scalable Machine Learning Model Computation in the R Language. [Masters Thesis]. University of Houston; 2019. Available from: http://hdl.handle.net/10657/4465


University of Houston

11. -5450-1888. Cluster Validation of WHAN Galaxy Classification Using a Novel Approach To External Cluster Validation.

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

 The classification of galaxies is traditionally carried out using human-eye analysis of morphology or through information provided by a large survey of galaxies. Clustering methods… (more)

Subjects/Keywords: External cluster validation; Machine learning

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APA (6th Edition):

-5450-1888. (2016). Cluster Validation of WHAN Galaxy Classification Using a Novel Approach To External Cluster Validation. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1568

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

Chicago Manual of Style (16th Edition):

-5450-1888. “Cluster Validation of WHAN Galaxy Classification Using a Novel Approach To External Cluster Validation.” 2016. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/1568.

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

MLA Handbook (7th Edition):

-5450-1888. “Cluster Validation of WHAN Galaxy Classification Using a Novel Approach To External Cluster Validation.” 2016. Web. 06 Mar 2021.

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

Vancouver:

-5450-1888. Cluster Validation of WHAN Galaxy Classification Using a Novel Approach To External Cluster Validation. [Internet] [Masters thesis]. University of Houston; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/1568.

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

Council of Science Editors:

-5450-1888. Cluster Validation of WHAN Galaxy Classification Using a Novel Approach To External Cluster Validation. [Masters Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/1568

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


University of Houston

12. -5450-0412. Flow Visualization and Analysis: From Geometry to Physics.

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

 As the size and complexity of flow data sets continuously increase, many vector field visualization techniques aim to generate an abstract representation of the geometric… (more)

Subjects/Keywords: Flow visualization; Attributes; Integral Curves

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APA (6th Edition):

-5450-0412. (2017). Flow Visualization and Analysis: From Geometry to Physics. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4811

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

Chicago Manual of Style (16th Edition):

-5450-0412. “Flow Visualization and Analysis: From Geometry to Physics.” 2017. Doctoral Dissertation, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/4811.

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

MLA Handbook (7th Edition):

-5450-0412. “Flow Visualization and Analysis: From Geometry to Physics.” 2017. Web. 06 Mar 2021.

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

Vancouver:

-5450-0412. Flow Visualization and Analysis: From Geometry to Physics. [Internet] [Doctoral dissertation]. University of Houston; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/4811.

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

Council of Science Editors:

-5450-0412. Flow Visualization and Analysis: From Geometry to Physics. [Doctoral Dissertation]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4811

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


University of Houston

13. 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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Mantini P1. Contextual Human Trajectory Forecasting within Indoor Environments and Its Applications. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2021 Mar 06]. 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


University of Houston

14. 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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Xu R1. Optimizing the Performance of Directive-based Programming Model for GPGPUs. [Internet] [Doctoral dissertation]. University of Houston; 2016. [cited 2021 Mar 06]. 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

15. -3212-5345. Data Mining A PeopleSoft Database To Assist In Developing Student Retention Interventions.

Degree: EdD, Curriculum and Instruction, 2016, University of Houston

 Per a Bellwether Education Partners study (Aldeman, 2015, p. 8), "As of 2013, there were 29.1 million college dropouts versus 24.5 million Americans who dropped… (more)

Subjects/Keywords: Knowledge discovery process (KDP); Data mining; PeopleSoft; Student retention; Databases; Student intervention; Persistence; Attainment

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APA (6th Edition):

-3212-5345. (2016). Data Mining A PeopleSoft Database To Assist In Developing Student Retention Interventions. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1737

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

Chicago Manual of Style (16th Edition):

-3212-5345. “Data Mining A PeopleSoft Database To Assist In Developing Student Retention Interventions.” 2016. Doctoral Dissertation, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/1737.

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

MLA Handbook (7th Edition):

-3212-5345. “Data Mining A PeopleSoft Database To Assist In Developing Student Retention Interventions.” 2016. Web. 06 Mar 2021.

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

Vancouver:

-3212-5345. Data Mining A PeopleSoft Database To Assist In Developing Student Retention Interventions. [Internet] [Doctoral dissertation]. University of Houston; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/1737.

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

Council of Science Editors:

-3212-5345. Data Mining A PeopleSoft Database To Assist In Developing Student Retention Interventions. [Doctoral Dissertation]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/1737

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


University of Houston

16. 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 March 06, 2021. http://hdl.handle.net/10657/1910.

MLA Handbook (7th Edition):

Almogahed, Bassam A 1980-. “Toward Improved Classification of Imbalanced Data.” 2014. Web. 06 Mar 2021.

Vancouver:

Almogahed BA1. Toward Improved Classification of Imbalanced Data. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2021 Mar 06]. 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

17. 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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Amalaman PK1. New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2021 Mar 06]. 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

18. Ugur, Muhsin Zahid 1984-. Integrating Mobile Psychometrics with Wearable Physiological Sensing in Longitudinal Studies: Design, Testing, and Clinical Benefits.

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

 Traditionally, psychometric questionnaires have been given in paper form. Increasingly, questionnaires are delivered through web interfaces. Although, this is an improvement, web interfaces are not… (more)

Subjects/Keywords: Online questionnaires; 2D questionnaires; Mobile devices; Mobile health care; User interface design; Adherence; Psychophysiology; Psychology

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

APA (6th Edition):

Ugur, M. Z. 1. (2017). Integrating Mobile Psychometrics with Wearable Physiological Sensing in Longitudinal Studies: Design, Testing, and Clinical Benefits. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4804

Chicago Manual of Style (16th Edition):

Ugur, Muhsin Zahid 1984-. “Integrating Mobile Psychometrics with Wearable Physiological Sensing in Longitudinal Studies: Design, Testing, and Clinical Benefits.” 2017. Doctoral Dissertation, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/4804.

MLA Handbook (7th Edition):

Ugur, Muhsin Zahid 1984-. “Integrating Mobile Psychometrics with Wearable Physiological Sensing in Longitudinal Studies: Design, Testing, and Clinical Benefits.” 2017. Web. 06 Mar 2021.

Vancouver:

Ugur MZ1. Integrating Mobile Psychometrics with Wearable Physiological Sensing in Longitudinal Studies: Design, Testing, and Clinical Benefits. [Internet] [Doctoral dissertation]. University of Houston; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/4804.

Council of Science Editors:

Ugur MZ1. Integrating Mobile Psychometrics with Wearable Physiological Sensing in Longitudinal Studies: Design, Testing, and Clinical Benefits. [Doctoral Dissertation]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4804


University of Houston

19. 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 March 06, 2021. http://hdl.handle.net/10657/1895.

MLA Handbook (7th Edition):

Yan, Xu 1986-. “Modeling Local Behavior for Multi-Person Tracking.” 2014. Web. 06 Mar 2021.

Vancouver:

Yan X1. Modeling Local Behavior for Multi-Person Tracking. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2021 Mar 06]. 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

20. Wang, Sujing 1975-. Spatial and Spatio-Temporal Clustering.

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

 Due to the advances in technology, such as smart phones, general mobile devices, remote sensors, and sensor networks, different types of spatial data become increasingly… (more)

Subjects/Keywords: Spatial Clustering; Spatio-temporal clustering; Polygon; Post-processing Analysis; Uniform Regions; Popular Signatures

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

APA (6th Edition):

Wang, S. 1. (2014). Spatial and Spatio-Temporal Clustering. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/2022

Chicago Manual of Style (16th Edition):

Wang, Sujing 1975-. “Spatial and Spatio-Temporal Clustering.” 2014. Doctoral Dissertation, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/2022.

MLA Handbook (7th Edition):

Wang, Sujing 1975-. “Spatial and Spatio-Temporal Clustering.” 2014. Web. 06 Mar 2021.

Vancouver:

Wang S1. Spatial and Spatio-Temporal Clustering. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/2022.

Council of Science Editors:

Wang S1. Spatial and Spatio-Temporal Clustering. [Doctoral Dissertation]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/2022


University of Houston

21. Akdag, Fatih 1982-. A Computational Framework for Finding Interestingness Hotspots in Spatial Datasets.

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

 The significant growth of spatial data increased the need for automated discovery of spatial knowledge. An important task when analyzing spatial data is hotspot discovery.… (more)

Subjects/Keywords: Hotspot discovery; Spatial data mining; Interestingness hotspot; Maximum weight clique; Polygon models; Polygon emptiness

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APA (6th Edition):

Akdag, F. 1. (2016). A Computational Framework for Finding Interestingness Hotspots in Spatial Datasets. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/5401

Chicago Manual of Style (16th Edition):

Akdag, Fatih 1982-. “A Computational Framework for Finding Interestingness Hotspots in Spatial Datasets.” 2016. Doctoral Dissertation, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/5401.

MLA Handbook (7th Edition):

Akdag, Fatih 1982-. “A Computational Framework for Finding Interestingness Hotspots in Spatial Datasets.” 2016. Web. 06 Mar 2021.

Vancouver:

Akdag F1. A Computational Framework for Finding Interestingness Hotspots in Spatial Datasets. [Internet] [Doctoral dissertation]. University of Houston; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/5401.

Council of Science Editors:

Akdag F1. A Computational Framework for Finding Interestingness Hotspots in Spatial Datasets. [Doctoral Dissertation]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/5401


University of Houston

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

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 March 06, 2021. http://hdl.handle.net/10657/5358.

MLA Handbook (7th Edition):

Gala, Apurva 1980-. “Person Re-Identification in Distributed Wide-Area Surveillance.” 2014. Web. 06 Mar 2021.

Vancouver:

Gala A1. Person Re-Identification in Distributed Wide-Area Surveillance. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2021 Mar 06]. 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

23. Dcosta, Malcolm 1986-. Sympathetic Loading in Critical Tasks.

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

 In this dissertation I developed or perfected unobtrusive methods to quantify sympathetic arousals. Furthermore, I used these methods to study the sympathetic system's role on… (more)

Subjects/Keywords: Perinasal perpiration; Stress; Critical tasks

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APA (6th Edition):

Dcosta, M. 1. (2015). Sympathetic Loading in Critical Tasks. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4869

Chicago Manual of Style (16th Edition):

Dcosta, Malcolm 1986-. “Sympathetic Loading in Critical Tasks.” 2015. Doctoral Dissertation, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/4869.

MLA Handbook (7th Edition):

Dcosta, Malcolm 1986-. “Sympathetic Loading in Critical Tasks.” 2015. Web. 06 Mar 2021.

Vancouver:

Dcosta M1. Sympathetic Loading in Critical Tasks. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/4869.

Council of Science Editors:

Dcosta M1. Sympathetic Loading in Critical Tasks. [Doctoral Dissertation]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/4869


University of Houston

24. 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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Le YH1. Shape Priors for Segmentation of Mouse Brain in Gene Expression Images. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2021 Mar 06]. 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


University of Houston

25. Uyanik, Ilyas 1984-. Monitoring Walking Behavior with Mobile Computing.

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

 The crux of this dissertation is to understand human walking behavior. Walking is one of the most fundamental human activities. Study of walking behavior is… (more)

Subjects/Keywords: Smartphone accelerometer; Energy expenditure; Physical activity monitoring; Inclination measurement; Walking app; Social networks; Role models; User study; Environmental effect; Ozone; Air pollution; Mobile application

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

APA (6th Edition):

Uyanik, I. 1. (2014). Monitoring Walking Behavior with Mobile Computing. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1905

Chicago Manual of Style (16th Edition):

Uyanik, Ilyas 1984-. “Monitoring Walking Behavior with Mobile Computing.” 2014. Doctoral Dissertation, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/1905.

MLA Handbook (7th Edition):

Uyanik, Ilyas 1984-. “Monitoring Walking Behavior with Mobile Computing.” 2014. Web. 06 Mar 2021.

Vancouver:

Uyanik I1. Monitoring Walking Behavior with Mobile Computing. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/1905.

Council of Science Editors:

Uyanik I1. Monitoring Walking Behavior with Mobile Computing. [Doctoral Dissertation]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1905

26. Cao, Zechun 1986-. A Methodology for Finding Uniform Regions in Spatial Data and its Application to Analyzing the Composition of Cities.

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

 Cities all around the world are in constant evolution due to numerous factors, such as fast urbanization and new ways of communication and transportation. However,… (more)

Subjects/Keywords: Spatial data mining; Finding uniform regions in spatial datasets; Mining distribution signatures; Clustering with plug-in fitness functions; Algorithms; Spatial structures; Cities; Urban computing; Computer science

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

APA (6th Edition):

Cao, Z. 1. (2013). A Methodology for Finding Uniform Regions in Spatial Data and its Application to Analyzing the Composition of Cities. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/470

Chicago Manual of Style (16th Edition):

Cao, Zechun 1986-. “A Methodology for Finding Uniform Regions in Spatial Data and its Application to Analyzing the Composition of Cities.” 2013. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/470.

MLA Handbook (7th Edition):

Cao, Zechun 1986-. “A Methodology for Finding Uniform Regions in Spatial Data and its Application to Analyzing the Composition of Cities.” 2013. Web. 06 Mar 2021.

Vancouver:

Cao Z1. A Methodology for Finding Uniform Regions in Spatial Data and its Application to Analyzing the Composition of Cities. [Internet] [Masters thesis]. University of Houston; 2013. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/470.

Council of Science Editors:

Cao Z1. A Methodology for Finding Uniform Regions in Spatial Data and its Application to Analyzing the Composition of Cities. [Masters Thesis]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/470

27. Sui, Bangsheng 1987-. INFORMATION GAIN FEATURE SELECTION BASED ON FEATURE INTERACTIONS.

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

 Analyzing high-dimensional data stands as a great challenge in machine learning. In order to deal with the curse of dimensionality, many effective and efficient feature-selection… (more)

Subjects/Keywords: Feature selection; Machine learning; Feature interaction; Information gain; Computer science

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APA (6th Edition):

Sui, B. 1. (2013). INFORMATION GAIN FEATURE SELECTION BASED ON FEATURE INTERACTIONS. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/523

Chicago Manual of Style (16th Edition):

Sui, Bangsheng 1987-. “INFORMATION GAIN FEATURE SELECTION BASED ON FEATURE INTERACTIONS.” 2013. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/523.

MLA Handbook (7th Edition):

Sui, Bangsheng 1987-. “INFORMATION GAIN FEATURE SELECTION BASED ON FEATURE INTERACTIONS.” 2013. Web. 06 Mar 2021.

Vancouver:

Sui B1. INFORMATION GAIN FEATURE SELECTION BASED ON FEATURE INTERACTIONS. [Internet] [Masters thesis]. University of Houston; 2013. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/523.

Council of Science Editors:

Sui B1. INFORMATION GAIN FEATURE SELECTION BASED ON FEATURE INTERACTIONS. [Masters Thesis]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/523

28. -7494-095X. A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo.

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

 Clustering is an important problem in Statistics and Machine Learning that is usually solved using Likelihood Maximization methods, of which the Expectation-Maximization algorithm (EM) is… (more)

Subjects/Keywords: Data mining; Clustering; Expectation maximization; Bayesian Methods; Markov Chain Monte Carlo

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

APA (6th Edition):

-7494-095X. (2015). A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1935

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

Chicago Manual of Style (16th Edition):

-7494-095X. “A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo.” 2015. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/1935.

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

MLA Handbook (7th Edition):

-7494-095X. “A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo.” 2015. Web. 06 Mar 2021.

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

Vancouver:

-7494-095X. A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo. [Internet] [Masters thesis]. University of Houston; 2015. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/1935.

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

Council of Science Editors:

-7494-095X. A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo. [Masters Thesis]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/1935

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

29. -4794-9876. Effects of Prescriptive Design on the Usage of a Walking App.

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

 Walking is the most ubiquitous physical activity. Natural walking opportunities, however, have been declining in developed societies. This decline has been linked to the rise… (more)

Subjects/Keywords: Physical activity; Design; Usability study

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

APA (6th Edition):

-4794-9876. (2015). Effects of Prescriptive Design on the Usage of a Walking App. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1746

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

Chicago Manual of Style (16th Edition):

-4794-9876. “Effects of Prescriptive Design on the Usage of a Walking App.” 2015. Masters Thesis, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/1746.

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

MLA Handbook (7th Edition):

-4794-9876. “Effects of Prescriptive Design on the Usage of a Walking App.” 2015. Web. 06 Mar 2021.

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

Vancouver:

-4794-9876. Effects of Prescriptive Design on the Usage of a Walking App. [Internet] [Masters thesis]. University of Houston; 2015. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/1746.

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

Council of Science Editors:

-4794-9876. Effects of Prescriptive Design on the Usage of a Walking App. [Masters Thesis]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/1746

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

30. Tran, Khai Nguyen 1984-. Contextual Descriptors for Human Activity Recognition.

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

 Human activity recognition is one of the most challenging problems that has received considerable attention from the computer vision community in recent years. Its applications… (more)

Subjects/Keywords: Human action recognition; Contextual descriptors; Computer vision

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

APA (6th Edition):

Tran, K. N. 1. (2013). Contextual Descriptors for Human Activity Recognition. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/475

Chicago Manual of Style (16th Edition):

Tran, Khai Nguyen 1984-. “Contextual Descriptors for Human Activity Recognition.” 2013. Doctoral Dissertation, University of Houston. Accessed March 06, 2021. http://hdl.handle.net/10657/475.

MLA Handbook (7th Edition):

Tran, Khai Nguyen 1984-. “Contextual Descriptors for Human Activity Recognition.” 2013. Web. 06 Mar 2021.

Vancouver:

Tran KN1. Contextual Descriptors for Human Activity Recognition. [Internet] [Doctoral dissertation]. University of Houston; 2013. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10657/475.

Council of Science Editors:

Tran KN1. Contextual Descriptors for Human Activity Recognition. [Doctoral Dissertation]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/475

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