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You searched for +publisher:"Georgia Tech" +contributor:("Vela, Patricio A."). Showing records 1 – 23 of 23 total matches.

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Georgia Tech

1. Dedhia, Vaibhav. Scene flow for autonomous navigation.

Degree: MS, Electrical and Computer Engineering, 2018, Georgia Tech

 Today, there are various different paradigms for vision based autonomous navigation: mediated perception approaches that parse an entire scene to make driving decision, a direct… (more)

Subjects/Keywords: Autonomous navigation; CNNs; Computer vision

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APA (6th Edition):

Dedhia, V. (2018). Scene flow for autonomous navigation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59948

Chicago Manual of Style (16th Edition):

Dedhia, Vaibhav. “Scene flow for autonomous navigation.” 2018. Masters Thesis, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/59948.

MLA Handbook (7th Edition):

Dedhia, Vaibhav. “Scene flow for autonomous navigation.” 2018. Web. 08 Dec 2019.

Vancouver:

Dedhia V. Scene flow for autonomous navigation. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/59948.

Council of Science Editors:

Dedhia V. Scene flow for autonomous navigation. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59948


Georgia Tech

2. Hwang, Jin Ha. Vision-based autonomous navigation in medium level representation.

Degree: MS, Electrical and Computer Engineering, 2017, Georgia Tech

 Autonomous navigation for a mobile robot is required to operate in cluttered, unstruc- tured environment at high speeds with efficient data gathering. Given the payload… (more)

Subjects/Keywords: Autonomous navigation; Computer vision; Path planning; Robotics

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APA (6th Edition):

Hwang, J. H. (2017). Vision-based autonomous navigation in medium level representation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59286

Chicago Manual of Style (16th Edition):

Hwang, Jin Ha. “Vision-based autonomous navigation in medium level representation.” 2017. Masters Thesis, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/59286.

MLA Handbook (7th Edition):

Hwang, Jin Ha. “Vision-based autonomous navigation in medium level representation.” 2017. Web. 08 Dec 2019.

Vancouver:

Hwang JH. Vision-based autonomous navigation in medium level representation. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/59286.

Council of Science Editors:

Hwang JH. Vision-based autonomous navigation in medium level representation. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59286


Georgia Tech

3. Ali, Ashar. 3D human pose estimation.

Degree: MS, Electrical and Computer Engineering, 2019, Georgia Tech

 The objective of the proposed work is to understand how using synthetic datasets and automatic annotation policies can further state of the art research for… (more)

Subjects/Keywords: 3D computer vision; Human pose estimation; Point cloud processing; Deep learning on point clouds

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APA (6th Edition):

Ali, A. (2019). 3D human pose estimation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61286

Chicago Manual of Style (16th Edition):

Ali, Ashar. “3D human pose estimation.” 2019. Masters Thesis, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/61286.

MLA Handbook (7th Edition):

Ali, Ashar. “3D human pose estimation.” 2019. Web. 08 Dec 2019.

Vancouver:

Ali A. 3D human pose estimation. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/61286.

Council of Science Editors:

Ali A. 3D human pose estimation. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61286

4. Asoka Kumar Shenoi, Ashwin Kumar. A CRF that combines tactile sensing and vision for haptic mapping.

Degree: MS, Electrical and Computer Engineering, 2016, Georgia Tech

 We consider the problem of enabling a robot to efficiently obtain a dense haptic map of its visible surroundings Using the complementary properties of vision… (more)

Subjects/Keywords: Tactile; Vision; Haptic mapping; CNN; CRF

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APA (6th Edition):

Asoka Kumar Shenoi, A. K. (2016). A CRF that combines tactile sensing and vision for haptic mapping. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55027

Chicago Manual of Style (16th Edition):

Asoka Kumar Shenoi, Ashwin Kumar. “A CRF that combines tactile sensing and vision for haptic mapping.” 2016. Masters Thesis, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/55027.

MLA Handbook (7th Edition):

Asoka Kumar Shenoi, Ashwin Kumar. “A CRF that combines tactile sensing and vision for haptic mapping.” 2016. Web. 08 Dec 2019.

Vancouver:

Asoka Kumar Shenoi AK. A CRF that combines tactile sensing and vision for haptic mapping. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/55027.

Council of Science Editors:

Asoka Kumar Shenoi AK. A CRF that combines tactile sensing and vision for haptic mapping. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55027

5. Gourdon, Remi. RPN-based architecture for object detection and pose estimation using RGB-D data.

Degree: MS, Electrical and Computer Engineering, 2018, Georgia Tech

 Pose estimation is a topic of important research in the fields of robotic and computer vision, particularly for applications in autonomous transportation and robotic manipulators.… (more)

Subjects/Keywords: Robotics; Deep learning; Computer vision

…Division. 1, 27, 30, 37, 40 GTRI Georgia Tech Research Institute. 1 ICP Iterative Closest Point… …Systems Laboratory (ATAS) at the Georgia Tech Research Institute (GTRI). For… 

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APA (6th Edition):

Gourdon, R. (2018). RPN-based architecture for object detection and pose estimation using RGB-D data. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60747

Chicago Manual of Style (16th Edition):

Gourdon, Remi. “RPN-based architecture for object detection and pose estimation using RGB-D data.” 2018. Masters Thesis, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/60747.

MLA Handbook (7th Edition):

Gourdon, Remi. “RPN-based architecture for object detection and pose estimation using RGB-D data.” 2018. Web. 08 Dec 2019.

Vancouver:

Gourdon R. RPN-based architecture for object detection and pose estimation using RGB-D data. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/60747.

Council of Science Editors:

Gourdon R. RPN-based architecture for object detection and pose estimation using RGB-D data. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60747


Georgia Tech

6. Kingravi, Hassan. Reduced-set models for improving the training and execution speed of kernel methods.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 This thesis aims to contribute to the area of kernel methods, which are a class of machine learning methods known for their wide applicability and… (more)

Subjects/Keywords: Machine learning; Kernel methods; Reproducing kernel Hilbert spaces; Adaptive control; Manifold learning; Algorithms; Computer algorithms; Kernel functions; Support vector machines

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APA (6th Edition):

Kingravi, H. (2014). Reduced-set models for improving the training and execution speed of kernel methods. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51799

Chicago Manual of Style (16th Edition):

Kingravi, Hassan. “Reduced-set models for improving the training and execution speed of kernel methods.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/51799.

MLA Handbook (7th Edition):

Kingravi, Hassan. “Reduced-set models for improving the training and execution speed of kernel methods.” 2014. Web. 08 Dec 2019.

Vancouver:

Kingravi H. Reduced-set models for improving the training and execution speed of kernel methods. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/51799.

Council of Science Editors:

Kingravi H. Reduced-set models for improving the training and execution speed of kernel methods. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51799


Georgia Tech

7. Pradhananga, Nipesh. Construction site safety analysis for human-equipment interaction using spatio-temporal data.

Degree: PhD, Civil and Environmental Engineering, 2014, Georgia Tech

 The construction industry has consistently suffered the highest number of fatalities among all human involved industries over the years. Safety managers struggle to prevent injuries… (more)

Subjects/Keywords: Construction operation; Construction safety; Spatio-temporal data; Construction simulation; Hazard mapping

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APA (6th Edition):

Pradhananga, N. (2014). Construction site safety analysis for human-equipment interaction using spatio-temporal data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52326

Chicago Manual of Style (16th Edition):

Pradhananga, Nipesh. “Construction site safety analysis for human-equipment interaction using spatio-temporal data.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/52326.

MLA Handbook (7th Edition):

Pradhananga, Nipesh. “Construction site safety analysis for human-equipment interaction using spatio-temporal data.” 2014. Web. 08 Dec 2019.

Vancouver:

Pradhananga N. Construction site safety analysis for human-equipment interaction using spatio-temporal data. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/52326.

Council of Science Editors:

Pradhananga N. Construction site safety analysis for human-equipment interaction using spatio-temporal data. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52326


Georgia Tech

8. Park, Jee Woong. Tracking for worker safety assessment.

Degree: PhD, Civil and Environmental Engineering, 2017, Georgia Tech

 Despite exercising current safety practices, the construction industry has not been successful at protecting workers. Because of a dearth of effective methods for data collection,… (more)

Subjects/Keywords: Safety; Tracking; Bluetooth low energy; Sensing; BLE

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APA (6th Edition):

Park, J. W. (2017). Tracking for worker safety assessment. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60110

Chicago Manual of Style (16th Edition):

Park, Jee Woong. “Tracking for worker safety assessment.” 2017. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/60110.

MLA Handbook (7th Edition):

Park, Jee Woong. “Tracking for worker safety assessment.” 2017. Web. 08 Dec 2019.

Vancouver:

Park JW. Tracking for worker safety assessment. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/60110.

Council of Science Editors:

Park JW. Tracking for worker safety assessment. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60110


Georgia Tech

9. Nadubettu Yadukumar, Shishir. Input to state stabilizing control Lyapunov functions for hybrid systems.

Degree: PhD, Mechanical Engineering, 2016, Georgia Tech

 The thesis analyzes the input-to-state stability (ISS) properties of control Lyapunov functions (CLFs) that stabilize hybrid systems. Systems that are input-to-state stable tend to be… (more)

Subjects/Keywords: Control Lyapunov functions; Input to state stability; Hybrid systems; Bipedal robots

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APA (6th Edition):

Nadubettu Yadukumar, S. (2016). Input to state stabilizing control Lyapunov functions for hybrid systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59140

Chicago Manual of Style (16th Edition):

Nadubettu Yadukumar, Shishir. “Input to state stabilizing control Lyapunov functions for hybrid systems.” 2016. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/59140.

MLA Handbook (7th Edition):

Nadubettu Yadukumar, Shishir. “Input to state stabilizing control Lyapunov functions for hybrid systems.” 2016. Web. 08 Dec 2019.

Vancouver:

Nadubettu Yadukumar S. Input to state stabilizing control Lyapunov functions for hybrid systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/59140.

Council of Science Editors:

Nadubettu Yadukumar S. Input to state stabilizing control Lyapunov functions for hybrid systems. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/59140


Georgia Tech

10. Valverde, Alfredo. Dynamic modeling and control of spacecraft robotic systems using dual quaternions.

Degree: PhD, Aerospace Engineering, 2018, Georgia Tech

 As of 2014, the space servicing market has a potential revenue of 3-5B per year due to the ever-present interest to upkeep existing orbiting infrastructure.… (more)

Subjects/Keywords: Dual quaternions; Robotic servicing; 6-DOF; Pose control; DDP; Dynamic modeling; Parameter estimation; Concurrent learning

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APA (6th Edition):

Valverde, A. (2018). Dynamic modeling and control of spacecraft robotic systems using dual quaternions. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59928

Chicago Manual of Style (16th Edition):

Valverde, Alfredo. “Dynamic modeling and control of spacecraft robotic systems using dual quaternions.” 2018. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/59928.

MLA Handbook (7th Edition):

Valverde, Alfredo. “Dynamic modeling and control of spacecraft robotic systems using dual quaternions.” 2018. Web. 08 Dec 2019.

Vancouver:

Valverde A. Dynamic modeling and control of spacecraft robotic systems using dual quaternions. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/59928.

Council of Science Editors:

Valverde A. Dynamic modeling and control of spacecraft robotic systems using dual quaternions. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59928


Georgia Tech

11. Sawhney, Rahul. Robust approaches and optimization for 3D data.

Degree: PhD, Interactive Computing, 2018, Georgia Tech

 We introduce a robust, purely geometric, representation framework for fundamental association and analysis problems involving multiple views and scenes. The framework utilizes surface patches /… (more)

Subjects/Keywords: 3D; Geometry; Robust; Optimization; Association; Retrieval; Robust Loss; Viewpoint invariance; RGB-D; Depth image; Point cloud; Geometric description; Matching; Correspondence; Registration; Reconstruction; Surface; Patch; Segment; Superpixel; Majorization minorization; Outlier rejection; Model fitting; Estimation; Nonlinear Least Absolute Deviations; Mean shift; Mode seeking; Segmentation; Hierarchical; Geometric diversity; Nonsmooth; Nonconvex; Edit distance; Damerau Levenshtein; Proximal algorithms; Determinantal Point Process; Fisher Vector; Feature Space; Variational Factorization; M - Estimation; Structured Estimation

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APA (6th Edition):

Sawhney, R. (2018). Robust approaches and optimization for 3D data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61103

Chicago Manual of Style (16th Edition):

Sawhney, Rahul. “Robust approaches and optimization for 3D data.” 2018. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/61103.

MLA Handbook (7th Edition):

Sawhney, Rahul. “Robust approaches and optimization for 3D data.” 2018. Web. 08 Dec 2019.

Vancouver:

Sawhney R. Robust approaches and optimization for 3D data. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/61103.

Council of Science Editors:

Sawhney R. Robust approaches and optimization for 3D data. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61103


Georgia Tech

12. Hyun, Nak-Seung Patrick. CAUSAL INFINITESIMAL MODELING OF NONLINEAR IMPULSIVE SYSTEMS AND SAFE PATH PLANNING IN ROBOTICS.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 Modeling mechanical systems is a mathematical abstraction of describing the relation between the cause (e.g. a force and inertia) and the resulting motions. Depending on… (more)

Subjects/Keywords: Control Theory; Impulsive System; Hybrid systems; Nonstandard analysis; Path Planning; Motion Planning

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APA (6th Edition):

Hyun, N. P. (2018). CAUSAL INFINITESIMAL MODELING OF NONLINEAR IMPULSIVE SYSTEMS AND SAFE PATH PLANNING IN ROBOTICS. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61641

Chicago Manual of Style (16th Edition):

Hyun, Nak-Seung Patrick. “CAUSAL INFINITESIMAL MODELING OF NONLINEAR IMPULSIVE SYSTEMS AND SAFE PATH PLANNING IN ROBOTICS.” 2018. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/61641.

MLA Handbook (7th Edition):

Hyun, Nak-Seung Patrick. “CAUSAL INFINITESIMAL MODELING OF NONLINEAR IMPULSIVE SYSTEMS AND SAFE PATH PLANNING IN ROBOTICS.” 2018. Web. 08 Dec 2019.

Vancouver:

Hyun NP. CAUSAL INFINITESIMAL MODELING OF NONLINEAR IMPULSIVE SYSTEMS AND SAFE PATH PLANNING IN ROBOTICS. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/61641.

Council of Science Editors:

Hyun NP. CAUSAL INFINITESIMAL MODELING OF NONLINEAR IMPULSIVE SYSTEMS AND SAFE PATH PLANNING IN ROBOTICS. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61641


Georgia Tech

13. Ray, Soumitry J. Intelligent hazard identification: Dynamic visibility measurement of construction equipment operators.

Degree: PhD, Computational Science and Engineering, 2014, Georgia Tech

 Struck-by fatalities involving heavy equipment such as trucks and cranes accounted for 24.6% of the fatalities between 1997-2007 in the construction industry. Limited visibility due… (more)

Subjects/Keywords: Head posture estimation; Vehicle blindspots; Proximity; Safety; Construction industry; Construction equipment Safety measures

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APA (6th Edition):

Ray, S. J. (2014). Intelligent hazard identification: Dynamic visibility measurement of construction equipment operators. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51968

Chicago Manual of Style (16th Edition):

Ray, Soumitry J. “Intelligent hazard identification: Dynamic visibility measurement of construction equipment operators.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/51968.

MLA Handbook (7th Edition):

Ray, Soumitry J. “Intelligent hazard identification: Dynamic visibility measurement of construction equipment operators.” 2014. Web. 08 Dec 2019.

Vancouver:

Ray SJ. Intelligent hazard identification: Dynamic visibility measurement of construction equipment operators. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/51968.

Council of Science Editors:

Ray SJ. Intelligent hazard identification: Dynamic visibility measurement of construction equipment operators. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51968


Georgia Tech

14. Kothari, Sonal. Developing image informatics methods for histopathological computer-aided decision support systems.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 This dissertation focuses on developing imaging informatics algorithms for clinical decision support systems (CDSSs) based on histopathological whole-slide images (WSIs). Currently, histopathological analysis is a… (more)

Subjects/Keywords: Imaging informatics; Decision support systems; Histopathological analysis; Image segmentation; Image classification; Visual analytics

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APA (6th Edition):

Kothari, S. (2013). Developing image informatics methods for histopathological computer-aided decision support systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52942

Chicago Manual of Style (16th Edition):

Kothari, Sonal. “Developing image informatics methods for histopathological computer-aided decision support systems.” 2013. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/52942.

MLA Handbook (7th Edition):

Kothari, Sonal. “Developing image informatics methods for histopathological computer-aided decision support systems.” 2013. Web. 08 Dec 2019.

Vancouver:

Kothari S. Developing image informatics methods for histopathological computer-aided decision support systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/52942.

Council of Science Editors:

Kothari S. Developing image informatics methods for histopathological computer-aided decision support systems. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52942


Georgia Tech

15. Serrano, Miguel M. RAPTr: Robust articulated point-set tracking.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 The objective of this work is to present the Robust Articulated Point-set Tracking (RAPTr) system. It works by synthesizing components from articulated model-based and machine… (more)

Subjects/Keywords: Human pose estimation; Machine learning; Clinical gait metrics; Infant pose estimation

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APA (6th Edition):

Serrano, M. M. (2018). RAPTr: Robust articulated point-set tracking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60730

Chicago Manual of Style (16th Edition):

Serrano, Miguel M. “RAPTr: Robust articulated point-set tracking.” 2018. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/60730.

MLA Handbook (7th Edition):

Serrano, Miguel M. “RAPTr: Robust articulated point-set tracking.” 2018. Web. 08 Dec 2019.

Vancouver:

Serrano MM. RAPTr: Robust articulated point-set tracking. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/60730.

Council of Science Editors:

Serrano MM. RAPTr: Robust articulated point-set tracking. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60730

16. Zhang, Guangcong. From images to augmented 3D models: improved visual SLAM and augmented point cloud modeling.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 This thesis investigates into the problem of using monocular image sequences to generate augmented models. The problem is decomposed to two subproblems: monocular visual simultaneously… (more)

Subjects/Keywords: Visual Simultaneously Localization and Mapping; Point Cloud Modeling

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APA (6th Edition):

Zhang, G. (2015). From images to augmented 3D models: improved visual SLAM and augmented point cloud modeling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56193

Chicago Manual of Style (16th Edition):

Zhang, Guangcong. “From images to augmented 3D models: improved visual SLAM and augmented point cloud modeling.” 2015. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/56193.

MLA Handbook (7th Edition):

Zhang, Guangcong. “From images to augmented 3D models: improved visual SLAM and augmented point cloud modeling.” 2015. Web. 08 Dec 2019.

Vancouver:

Zhang G. From images to augmented 3D models: improved visual SLAM and augmented point cloud modeling. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/56193.

Council of Science Editors:

Zhang G. From images to augmented 3D models: improved visual SLAM and augmented point cloud modeling. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/56193

17. Jung, Seungwoo. Optimization of SiGe HBT BiCMOS analog building blocks for operation in extreme environments.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 The objective of this research is to optimize silicon-germanium (SiGe) heterojunction bipolar transistor (HBT) BiCMOS analog circuit building blocks for operation in extreme environments utilizing… (more)

Subjects/Keywords: Analog circuit; SEE; SET; Radiation hardening; ADC; Analog-to-digital converter; SiGe; HBT; BiCMOS

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APA (6th Edition):

Jung, S. (2015). Optimization of SiGe HBT BiCMOS analog building blocks for operation in extreme environments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54419

Chicago Manual of Style (16th Edition):

Jung, Seungwoo. “Optimization of SiGe HBT BiCMOS analog building blocks for operation in extreme environments.” 2015. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/54419.

MLA Handbook (7th Edition):

Jung, Seungwoo. “Optimization of SiGe HBT BiCMOS analog building blocks for operation in extreme environments.” 2015. Web. 08 Dec 2019.

Vancouver:

Jung S. Optimization of SiGe HBT BiCMOS analog building blocks for operation in extreme environments. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/54419.

Council of Science Editors:

Jung S. Optimization of SiGe HBT BiCMOS analog building blocks for operation in extreme environments. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54419

18. Chang, Dongsik. Motion tomography performed by underwater mobile sensor networks.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 Knowledge of the flow field is crucial to guide underwater mobile sensing agents (UMSAs). However, existing flow data sources provide insufficient spatio-temporal resolutions for precise… (more)

Subjects/Keywords: Motion tomography; Flow field modeling; Flow field estimation; Mobile sensor networks

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APA (6th Edition):

Chang, D. (2016). Motion tomography performed by underwater mobile sensor networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55642

Chicago Manual of Style (16th Edition):

Chang, Dongsik. “Motion tomography performed by underwater mobile sensor networks.” 2016. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/55642.

MLA Handbook (7th Edition):

Chang, Dongsik. “Motion tomography performed by underwater mobile sensor networks.” 2016. Web. 08 Dec 2019.

Vancouver:

Chang D. Motion tomography performed by underwater mobile sensor networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/55642.

Council of Science Editors:

Chang D. Motion tomography performed by underwater mobile sensor networks. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55642

19. Powell, Matthew Joseph. Mechanics-based control of underactuated robotic walking.

Degree: PhD, Mechanical Engineering, 2017, Georgia Tech

 The proposed research philosophy is to expose the general mechanics of a particular class of bipedal walking robots and then construct controllers which manipulate these… (more)

Subjects/Keywords: Robotic walking; Humanoids

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APA (6th Edition):

Powell, M. J. (2017). Mechanics-based control of underactuated robotic walking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58763

Chicago Manual of Style (16th Edition):

Powell, Matthew Joseph. “Mechanics-based control of underactuated robotic walking.” 2017. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/58763.

MLA Handbook (7th Edition):

Powell, Matthew Joseph. “Mechanics-based control of underactuated robotic walking.” 2017. Web. 08 Dec 2019.

Vancouver:

Powell MJ. Mechanics-based control of underactuated robotic walking. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/58763.

Council of Science Editors:

Powell MJ. Mechanics-based control of underactuated robotic walking. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58763

20. Ali Khan, Syed Irteza. Classification using residual vector quantization.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 Residual vector quantization (RVQ) is a 1-nearest neighbor (1-NN) type of technique. RVQ is a multi-stage implementation of regular vector quantization. An input is successively… (more)

Subjects/Keywords: Residual vector quantization; Bayesian framework; Markov structure; 1-Nearest neighbor; Vector analysis; Nearest neighbor analysis (Statistics); Data compression (Telecommunication); Coding theory; Image processing

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APA (6th Edition):

Ali Khan, S. I. (2013). Classification using residual vector quantization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50300

Chicago Manual of Style (16th Edition):

Ali Khan, Syed Irteza. “Classification using residual vector quantization.” 2013. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/50300.

MLA Handbook (7th Edition):

Ali Khan, Syed Irteza. “Classification using residual vector quantization.” 2013. Web. 08 Dec 2019.

Vancouver:

Ali Khan SI. Classification using residual vector quantization. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/50300.

Council of Science Editors:

Ali Khan SI. Classification using residual vector quantization. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50300

21. Garcia, Sergio Ernesto. Coupling of an objective and quantifiable methodology for assessing upper-body movements with virtual reality gaming platforms.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 In the physical therapy and rehabilitation field, virtual reality serious gaming systems have been developed to address the problem of non-compliance to perform the recommended… (more)

Subjects/Keywords: Technological rehabilitation; Cerebral palsy; Super pop VR[TM]; Pattern recognition; Upper-body physiotherapy; Reaching kinematics; Kinematic behavior; Instance- and individual-based classification approaches

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APA (6th Edition):

Garcia, S. E. (2017). Coupling of an objective and quantifiable methodology for assessing upper-body movements with virtual reality gaming platforms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58230

Chicago Manual of Style (16th Edition):

Garcia, Sergio Ernesto. “Coupling of an objective and quantifiable methodology for assessing upper-body movements with virtual reality gaming platforms.” 2017. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/58230.

MLA Handbook (7th Edition):

Garcia, Sergio Ernesto. “Coupling of an objective and quantifiable methodology for assessing upper-body movements with virtual reality gaming platforms.” 2017. Web. 08 Dec 2019.

Vancouver:

Garcia SE. Coupling of an objective and quantifiable methodology for assessing upper-body movements with virtual reality gaming platforms. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/58230.

Council of Science Editors:

Garcia SE. Coupling of an objective and quantifiable methodology for assessing upper-body movements with virtual reality gaming platforms. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58230

22. Mueller, Martin F. Physics-driven variational methods for computer vision and shape-based imaging.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 In this dissertation, novel variational optical-flow and active-contour methods are investigated to address challenging problems in computer vision and shape-based imaging. Starting from traditional applications… (more)

Subjects/Keywords: Active contours; Level set method; Optical flow; Computer vision; Imaging

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APA (6th Edition):

Mueller, M. F. (2014). Physics-driven variational methods for computer vision and shape-based imaging. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54034

Chicago Manual of Style (16th Edition):

Mueller, Martin F. “Physics-driven variational methods for computer vision and shape-based imaging.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/54034.

MLA Handbook (7th Edition):

Mueller, Martin F. “Physics-driven variational methods for computer vision and shape-based imaging.” 2014. Web. 08 Dec 2019.

Vancouver:

Mueller MF. Physics-driven variational methods for computer vision and shape-based imaging. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/54034.

Council of Science Editors:

Mueller MF. Physics-driven variational methods for computer vision and shape-based imaging. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54034


Georgia Tech

23. Gurbuz, Ali Cafer. Feature detection algorithms in computed images.

Degree: PhD, Electrical and Computer Engineering, 2008, Georgia Tech

 The problem of sensing a medium by several sensors and retrieving interesting features is a very general one. The basic framework of the problem is… (more)

Subjects/Keywords: Compressive sensing; Ground penetrating radar; Subsurface imaging; Pattern recognition systems; Image processing; Ground penetrating radar; Algorithms; Detectors

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

APA (6th Edition):

Gurbuz, A. C. (2008). Feature detection algorithms in computed images. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24718

Chicago Manual of Style (16th Edition):

Gurbuz, Ali Cafer. “Feature detection algorithms in computed images.” 2008. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/24718.

MLA Handbook (7th Edition):

Gurbuz, Ali Cafer. “Feature detection algorithms in computed images.” 2008. Web. 08 Dec 2019.

Vancouver:

Gurbuz AC. Feature detection algorithms in computed images. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/24718.

Council of Science Editors:

Gurbuz AC. Feature detection algorithms in computed images. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24718

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