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You searched for +publisher:"Georgia Tech" +contributor:("Vela, Patricio"). Showing records 61 – 90 of 96 total matches.

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61. Zia, Aneeq. Automated benchmarking of surgical skills using machine learning.

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

 Surgical trainees are required to acquire specific skills during the course of their residency before performing real surgeries. Surgical training involves constant practice of skills… (more)

Subjects/Keywords: Surgeon training; Computer vision; Machine learning; Deep learning; Surgical activity recognition; Automated feedback

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APA (6th Edition):

Zia, A. (2018). Automated benchmarking of surgical skills using machine learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60800

Chicago Manual of Style (16th Edition):

Zia, Aneeq. “Automated benchmarking of surgical skills using machine learning.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/60800.

MLA Handbook (7th Edition):

Zia, Aneeq. “Automated benchmarking of surgical skills using machine learning.” 2018. Web. 17 Oct 2019.

Vancouver:

Zia A. Automated benchmarking of surgical skills using machine learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/60800.

Council of Science Editors:

Zia A. Automated benchmarking of surgical skills using machine learning. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60800

62. 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 October 17, 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. 17 Oct 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 Oct 17]. 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

63. 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 October 17, 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. 17 Oct 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 Oct 17]. 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

64. 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 October 17, 2019. http://hdl.handle.net/1853/55642.

MLA Handbook (7th Edition):

Chang, Dongsik. “Motion tomography performed by underwater mobile sensor networks.” 2016. Web. 17 Oct 2019.

Vancouver:

Chang D. Motion tomography performed by underwater mobile sensor networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Oct 17]. 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

65. Cook, Daniel A. Variational and active surface techniques for acoustic and electromagnetic imaging.

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

 This research seeks to expand the role of variational and adjoint processing methods into segments of the sonar, radar, and nondestructive testing communities where they… (more)

Subjects/Keywords: Radar; Sonar; Synthetic aperture; Nondestructive testing; PDE; Variational methods; Active surfaces; Optical flow

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APA (6th Edition):

Cook, D. A. (2015). Variational and active surface techniques for acoustic and electromagnetic imaging. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53522

Chicago Manual of Style (16th Edition):

Cook, Daniel A. “Variational and active surface techniques for acoustic and electromagnetic imaging.” 2015. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/53522.

MLA Handbook (7th Edition):

Cook, Daniel A. “Variational and active surface techniques for acoustic and electromagnetic imaging.” 2015. Web. 17 Oct 2019.

Vancouver:

Cook DA. Variational and active surface techniques for acoustic and electromagnetic imaging. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/53522.

Council of Science Editors:

Cook DA. Variational and active surface techniques for acoustic and electromagnetic imaging. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53522

66. Aslam, Salman Muhammad. Target tracking using residual vector quantization.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 In this work, our goal is to track visual targets using residual vector quantization (RVQ). We compare our results with principal components analysis (PCA) and… (more)

Subjects/Keywords: Visual tracking; RVQ; Tree structured vector quantization; PCA; Principal components analysis; TSVQ; Computer vision; Residual vector quantization; Image processing; Imaging systems; Computer graphics; Image processing Digital techniques

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APA (6th Edition):

Aslam, S. M. (2011). Target tracking using residual vector quantization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42883

Chicago Manual of Style (16th Edition):

Aslam, Salman Muhammad. “Target tracking using residual vector quantization.” 2011. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/42883.

MLA Handbook (7th Edition):

Aslam, Salman Muhammad. “Target tracking using residual vector quantization.” 2011. Web. 17 Oct 2019.

Vancouver:

Aslam SM. Target tracking using residual vector quantization. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/42883.

Council of Science Editors:

Aslam SM. Target tracking using residual vector quantization. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42883

67. Shi, Zhenwu. Non-worst-case response time analysis for real-time systems design.

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

 A real-time system is a system such that the correctness of operations depends not only on the logical results, but also on the time at… (more)

Subjects/Keywords: Real-time systems; Response time analysis; Real-time data processing; Mathematical models; Reaction time

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APA (6th Edition):

Shi, Z. (2014). Non-worst-case response time analysis for real-time systems design. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51827

Chicago Manual of Style (16th Edition):

Shi, Zhenwu. “Non-worst-case response time analysis for real-time systems design.” 2014. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/51827.

MLA Handbook (7th Edition):

Shi, Zhenwu. “Non-worst-case response time analysis for real-time systems design.” 2014. Web. 17 Oct 2019.

Vancouver:

Shi Z. Non-worst-case response time analysis for real-time systems design. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/51827.

Council of Science Editors:

Shi Z. Non-worst-case response time analysis for real-time systems design. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51827

68. 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 October 17, 2019. http://hdl.handle.net/1853/58763.

MLA Handbook (7th Edition):

Powell, Matthew Joseph. “Mechanics-based control of underactuated robotic walking.” 2017. Web. 17 Oct 2019.

Vancouver:

Powell MJ. Mechanics-based control of underactuated robotic walking. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Oct 17]. 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

69. Kim, Jonghoek. Simultaneous cooperative exploration and networking.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 This thesis provides strategies for multiple vehicles to explore unknown environments in a cooperative and systematic manner. These strategies are called Simultaneous Cooperative Exploration and… (more)

Subjects/Keywords: Capturing intruders on graphs; Curve-tracking control; Voronoi diagrams; Multi-robot exploration and mapping; Voronoi polygons; Algorithms; Information networks

…The Sting-1 vehicle at Georgia Tech. . . . . . . . . . . . . . . . . . . 16 5 A vehicle… …Figure 4 shows the autonomous vehicle Sting-I that represented Georgia Tech in the DARPA Urban… …vector to the lane. Figure 4: The Sting-1 vehicle at Georgia Tech. 16 In this chapter, we… …desired lane-following behavior to be used as a component in the Georgia Tech urban grand… 

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APA (6th Edition):

Kim, J. (2011). Simultaneous cooperative exploration and networking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39536

Chicago Manual of Style (16th Edition):

Kim, Jonghoek. “Simultaneous cooperative exploration and networking.” 2011. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/39536.

MLA Handbook (7th Edition):

Kim, Jonghoek. “Simultaneous cooperative exploration and networking.” 2011. Web. 17 Oct 2019.

Vancouver:

Kim J. Simultaneous cooperative exploration and networking. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/39536.

Council of Science Editors:

Kim J. Simultaneous cooperative exploration and networking. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39536

70. Kaul, Vivek. Tracking and detection of cracks using minimal path techniques.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 The research in the thesis investigates the use of minimal path techniques to track and detect cracks, modeled as curves, in critical infrastructure like pavements… (more)

Subjects/Keywords: Pavement crack minimal path methods; Pavements, Concrete Cracking; Hausdorff measures; Concrete Cracking; Computer vision

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APA (6th Edition):

Kaul, V. (2010). Tracking and detection of cracks using minimal path techniques. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37214

Chicago Manual of Style (16th Edition):

Kaul, Vivek. “Tracking and detection of cracks using minimal path techniques.” 2010. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/37214.

MLA Handbook (7th Edition):

Kaul, Vivek. “Tracking and detection of cracks using minimal path techniques.” 2010. Web. 17 Oct 2019.

Vancouver:

Kaul V. Tracking and detection of cracks using minimal path techniques. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/37214.

Council of Science Editors:

Kaul V. Tracking and detection of cracks using minimal path techniques. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37214

71. Valentine, Brian Evans. Embedded early vision techniques for efficient background modeling and midground detection.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 An automated vision system performs critical tasks in video surveillance, while decreasing costs and increasing efficiency. It can provide high quality scene monitoring without the… (more)

Subjects/Keywords: Embedded processor; Computer vision; Computer vision; Video surveillance

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APA (6th Edition):

Valentine, B. E. (2010). Embedded early vision techniques for efficient background modeling and midground detection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33894

Chicago Manual of Style (16th Edition):

Valentine, Brian Evans. “Embedded early vision techniques for efficient background modeling and midground detection.” 2010. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/33894.

MLA Handbook (7th Edition):

Valentine, Brian Evans. “Embedded early vision techniques for efficient background modeling and midground detection.” 2010. Web. 17 Oct 2019.

Vancouver:

Valentine BE. Embedded early vision techniques for efficient background modeling and midground detection. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/33894.

Council of Science Editors:

Valentine BE. Embedded early vision techniques for efficient background modeling and midground detection. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33894

72. Dikbas, Salih. A low-complexity approach for motion-compensated video frame rate up-conversion.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 Video frame rate up-conversion is an important issue for multimedia systems in achieving better video quality and motion portrayal. Motion-compensated methods offer better quality interpolated… (more)

Subjects/Keywords: Frame rate up-conversion; Motion-compensated temporal frame interpolation; Motion-compensated frame interpolation; Temporal frame interpolation; Motion estimation; True-motion; Signal processing; Multimedia systems; Multimedia communications

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APA (6th Edition):

Dikbas, S. (2011). A low-complexity approach for motion-compensated video frame rate up-conversion. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42730

Chicago Manual of Style (16th Edition):

Dikbas, Salih. “A low-complexity approach for motion-compensated video frame rate up-conversion.” 2011. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/42730.

MLA Handbook (7th Edition):

Dikbas, Salih. “A low-complexity approach for motion-compensated video frame rate up-conversion.” 2011. Web. 17 Oct 2019.

Vancouver:

Dikbas S. A low-complexity approach for motion-compensated video frame rate up-conversion. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/42730.

Council of Science Editors:

Dikbas S. A low-complexity approach for motion-compensated video frame rate up-conversion. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42730

73. Lee, Jehoon. Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 Computer vision is the science that studies how machines understand scenes and automatically make decisions based on meaningful information extracted from an image or multi-dimensional… (more)

Subjects/Keywords: Computer vision; Visual tracking; Image segmentation; Pose estimation; Shape analysis; Particle filtering; Active contours; Image processing; Pattern recognition systems; Algorithms

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APA (6th Edition):

Lee, J. (2012). Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43582

Chicago Manual of Style (16th Edition):

Lee, Jehoon. “Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition.” 2012. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/43582.

MLA Handbook (7th Edition):

Lee, Jehoon. “Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition.” 2012. Web. 17 Oct 2019.

Vancouver:

Lee J. Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/43582.

Council of Science Editors:

Lee J. Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43582

74. Gielniak, Michael Joseph. Adaptation of task-aware, communicative variance for motion control in social humanoid robotic applications.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 An algorithm for generating communicative, human-like motion for social humanoid robots was developed. Anticipation, exaggeration, and secondary motion were demonstrated as examples of communication. Spatiotemporal… (more)

Subjects/Keywords: Motor coordination; DOF coupling; Kolmogorov-Sinai entropy; Animation principles; Androids; Robots; Robots Programming; Human-robot interaction; Robots Motion; Algorithms

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APA (6th Edition):

Gielniak, M. J. (2012). Adaptation of task-aware, communicative variance for motion control in social humanoid robotic applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43591

Chicago Manual of Style (16th Edition):

Gielniak, Michael Joseph. “Adaptation of task-aware, communicative variance for motion control in social humanoid robotic applications.” 2012. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/43591.

MLA Handbook (7th Edition):

Gielniak, Michael Joseph. “Adaptation of task-aware, communicative variance for motion control in social humanoid robotic applications.” 2012. Web. 17 Oct 2019.

Vancouver:

Gielniak MJ. Adaptation of task-aware, communicative variance for motion control in social humanoid robotic applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/43591.

Council of Science Editors:

Gielniak MJ. Adaptation of task-aware, communicative variance for motion control in social humanoid robotic applications. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43591

75. zHu, LiangJia. Automatic segmentation of wall structures from cardiac images.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 One important topic in medical image analysis is segmenting wall structures from different cardiac medical imaging modalities such as computed tomography (CT) and magnetic resonance… (more)

Subjects/Keywords: Variational region growing; Contour evolution; Shape segmentation; Cardiac images; Wall structures; Diagnostic imaging; Heart Imaging

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APA (6th Edition):

zHu, L. (2012). Automatic segmentation of wall structures from cardiac images. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47727

Chicago Manual of Style (16th Edition):

zHu, LiangJia. “Automatic segmentation of wall structures from cardiac images.” 2012. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/47727.

MLA Handbook (7th Edition):

zHu, LiangJia. “Automatic segmentation of wall structures from cardiac images.” 2012. Web. 17 Oct 2019.

Vancouver:

zHu L. Automatic segmentation of wall structures from cardiac images. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/47727.

Council of Science Editors:

zHu L. Automatic segmentation of wall structures from cardiac images. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/47727

76. Martin, Ramaldo S. Implementation and validation of a computational model of the feline forelimb.

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

 Postural control incorporates multiple neural and mechanical systems at various levels of the motor control system, yet the question of how all these systems interact… (more)

Subjects/Keywords: Musculoskeletal model; Cat; Forelimb; Structure-function; Moment arms; Kinematics; Force constraint; Forelimb; Cats; Mathematical models; Posture

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APA (6th Edition):

Martin, R. S. (2013). Implementation and validation of a computational model of the feline forelimb. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50293

Chicago Manual of Style (16th Edition):

Martin, Ramaldo S. “Implementation and validation of a computational model of the feline forelimb.” 2013. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/50293.

MLA Handbook (7th Edition):

Martin, Ramaldo S. “Implementation and validation of a computational model of the feline forelimb.” 2013. Web. 17 Oct 2019.

Vancouver:

Martin RS. Implementation and validation of a computational model of the feline forelimb. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/50293.

Council of Science Editors:

Martin RS. Implementation and validation of a computational model of the feline forelimb. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50293

77. 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 October 17, 2019. http://hdl.handle.net/1853/50300.

MLA Handbook (7th Edition):

Ali Khan, Syed Irteza. “Classification using residual vector quantization.” 2013. Web. 17 Oct 2019.

Vancouver:

Ali Khan SI. Classification using residual vector quantization. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Oct 17]. 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

78. Karasev, Peter A. Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data.

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

 This thesis is divided into five chapters. The scope of problems considered is defined in chapter I. Next, chapter II provides background material on image… (more)

Subjects/Keywords: Image processing; Control theory; Image processing; Differential equations, Partial; Pattern recognition systems; Computer vision

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APA (6th Edition):

Karasev, P. A. (2013). Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50257

Chicago Manual of Style (16th Edition):

Karasev, Peter A. “Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data.” 2013. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/50257.

MLA Handbook (7th Edition):

Karasev, Peter A. “Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data.” 2013. Web. 17 Oct 2019.

Vancouver:

Karasev PA. Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/50257.

Council of Science Editors:

Karasev PA. Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50257

79. Santoro, Michael. Valid motion estimation for super-resolution image reconstruction.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 In this thesis, a block-based motion estimation algorithm suitable for Super-Resolution (SR) image reconstruction is introduced. The motion estimation problem is formulated as an energy… (more)

Subjects/Keywords: Block overlap; Motion estimation; Motion validity; Super-resolution; De-interlacing; Motion Measurement; Image reconstruction; High resolution imaging

…several people at Georgia Tech who pushed and helped me along the path during difficult times… 

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APA (6th Edition):

Santoro, M. (2012). Valid motion estimation for super-resolution image reconstruction. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44765

Chicago Manual of Style (16th Edition):

Santoro, Michael. “Valid motion estimation for super-resolution image reconstruction.” 2012. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/44765.

MLA Handbook (7th Edition):

Santoro, Michael. “Valid motion estimation for super-resolution image reconstruction.” 2012. Web. 17 Oct 2019.

Vancouver:

Santoro M. Valid motion estimation for super-resolution image reconstruction. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/44765.

Council of Science Editors:

Santoro M. Valid motion estimation for super-resolution image reconstruction. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44765

80. Oh, Ji Hun. Contrast-enhanced magnetic resonance liver image registration, segmentation, and feature analysis for liver disease diagnosis.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 The global objectives of this research are to develop a liver-specific magnetic resonance (MR) image registration and segmentation algorithms and to find highly correlated MR… (more)

Subjects/Keywords: Image segmentation; Image registration; Contrast-enhanced MRI; Feature analysis; Liver Diseases; Liver Diseases Diagnosis; Magnetic resonance imaging; Contrast-enhanced magnetic resonance imaging; Image processing Digital techniques

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APA (6th Edition):

Oh, J. H. (2012). Contrast-enhanced magnetic resonance liver image registration, segmentation, and feature analysis for liver disease diagnosis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45912

Chicago Manual of Style (16th Edition):

Oh, Ji Hun. “Contrast-enhanced magnetic resonance liver image registration, segmentation, and feature analysis for liver disease diagnosis.” 2012. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/45912.

MLA Handbook (7th Edition):

Oh, Ji Hun. “Contrast-enhanced magnetic resonance liver image registration, segmentation, and feature analysis for liver disease diagnosis.” 2012. Web. 17 Oct 2019.

Vancouver:

Oh JH. Contrast-enhanced magnetic resonance liver image registration, segmentation, and feature analysis for liver disease diagnosis. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/45912.

Council of Science Editors:

Oh JH. Contrast-enhanced magnetic resonance liver image registration, segmentation, and feature analysis for liver disease diagnosis. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45912

81. Cobo Rus, Luis Carlos. Leveraging attention focus for effective reinforcement learning in complex domains.

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

 One of the hardest challenges in the field of machine learning is to build agents, such as robotic assistants in homes and hospitals, that can… (more)

Subjects/Keywords: Reinforcement learning; Learning from demonstration; Dimensionality reduction; Machine learning; Stochastic processes; Autonomous robots; Robots; Intelligent agents (Computer software)

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APA (6th Edition):

Cobo Rus, L. C. (2013). Leveraging attention focus for effective reinforcement learning in complex domains. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47618

Chicago Manual of Style (16th Edition):

Cobo Rus, Luis Carlos. “Leveraging attention focus for effective reinforcement learning in complex domains.” 2013. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/47618.

MLA Handbook (7th Edition):

Cobo Rus, Luis Carlos. “Leveraging attention focus for effective reinforcement learning in complex domains.” 2013. Web. 17 Oct 2019.

Vancouver:

Cobo Rus LC. Leveraging attention focus for effective reinforcement learning in complex domains. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/47618.

Council of Science Editors:

Cobo Rus LC. Leveraging attention focus for effective reinforcement learning in complex domains. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47618

82. 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 October 17, 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. 17 Oct 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 Oct 17]. 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

83. Cho, HwanJune. Uncertainty management in prognosis of electric vehicle energy system.

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

 The body of work described here seeks to understand uncertainties that are inherent in the system prognosis procedure, to represent and propagate them, and to… (more)

Subjects/Keywords: RUL; EOL; Uncertainty; Electric vehicle energy system; Electric vehicle traction systems; Prognosis

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APA (6th Edition):

Cho, H. (2018). Uncertainty management in prognosis of electric vehicle energy system. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60797

Chicago Manual of Style (16th Edition):

Cho, HwanJune. “Uncertainty management in prognosis of electric vehicle energy system.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/60797.

MLA Handbook (7th Edition):

Cho, HwanJune. “Uncertainty management in prognosis of electric vehicle energy system.” 2018. Web. 17 Oct 2019.

Vancouver:

Cho H. Uncertainty management in prognosis of electric vehicle energy system. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/60797.

Council of Science Editors:

Cho H. Uncertainty management in prognosis of electric vehicle energy system. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60797

84. Qian, Feifei. Towards a terradynamics of legged locomotion on homogeneous and Heterogeneous granular media through robophysical approaches.

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

 The objective of this research is to discover principles of ambulatory locomotion on homogeneous and heterogeneous granular substrates and create models of animal and robot… (more)

Subjects/Keywords: Robot; Bio-inspired; Locomotion; Granular media; Robophysics

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APA (6th Edition):

Qian, F. (2015). Towards a terradynamics of legged locomotion on homogeneous and Heterogeneous granular media through robophysical approaches. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54421

Chicago Manual of Style (16th Edition):

Qian, Feifei. “Towards a terradynamics of legged locomotion on homogeneous and Heterogeneous granular media through robophysical approaches.” 2015. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/54421.

MLA Handbook (7th Edition):

Qian, Feifei. “Towards a terradynamics of legged locomotion on homogeneous and Heterogeneous granular media through robophysical approaches.” 2015. Web. 17 Oct 2019.

Vancouver:

Qian F. Towards a terradynamics of legged locomotion on homogeneous and Heterogeneous granular media through robophysical approaches. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/54421.

Council of Science Editors:

Qian F. Towards a terradynamics of legged locomotion on homogeneous and Heterogeneous granular media through robophysical approaches. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54421

85. 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 October 17, 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. 17 Oct 2019.

Vancouver:

Mueller MF. Physics-driven variational methods for computer vision and shape-based imaging. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Oct 17]. 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

86. Appia, Vikram VijayanBabu. Non-local active contours.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 This thesis deals with image segmentation problems that arise in various computer vision related fields such as medical imaging, satellite imaging, video surveillance, recognition and… (more)

Subjects/Keywords: Active geodesics; Fast marching; Active contour models; Imge segmentation; Motion segmentation; Optical flow; Shape priors; Localized principal component analysis; Pattern perception; Pattern recognition systems; Computer vision

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APA (6th Edition):

Appia, V. V. (2012). Non-local active contours. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44739

Chicago Manual of Style (16th Edition):

Appia, Vikram VijayanBabu. “Non-local active contours.” 2012. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/44739.

MLA Handbook (7th Edition):

Appia, Vikram VijayanBabu. “Non-local active contours.” 2012. Web. 17 Oct 2019.

Vancouver:

Appia VV. Non-local active contours. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/44739.

Council of Science Editors:

Appia VV. Non-local active contours. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44739


Georgia Tech

87. Isaksson, Johan Henrik. Optimal timing control of switched systems with applications to optimal bridge repairs.

Degree: MS, Electrical and Computer Engineering, 2006, Georgia Tech

 Following results over recent years, this thesis enhances the problem of minimizing a cost functional defined on a state trajectory of an autonomous switched dynamical… (more)

Subjects/Keywords: Switched systems; Optimal control; Hybrid systems; Algorithms; Hybrid systems; Bridges Maintenance and repair

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APA (6th Edition):

Isaksson, J. H. (2006). Optimal timing control of switched systems with applications to optimal bridge repairs. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/36538

Chicago Manual of Style (16th Edition):

Isaksson, Johan Henrik. “Optimal timing control of switched systems with applications to optimal bridge repairs.” 2006. Masters Thesis, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/36538.

MLA Handbook (7th Edition):

Isaksson, Johan Henrik. “Optimal timing control of switched systems with applications to optimal bridge repairs.” 2006. Web. 17 Oct 2019.

Vancouver:

Isaksson JH. Optimal timing control of switched systems with applications to optimal bridge repairs. [Internet] [Masters thesis]. Georgia Tech; 2006. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/36538.

Council of Science Editors:

Isaksson JH. Optimal timing control of switched systems with applications to optimal bridge repairs. [Masters Thesis]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/36538


Georgia Tech

88. Sundaramoorthi, Ganesh. Global Optimizing Flows for Active Contours.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 This thesis makes significant contributions to the object detection problem in computer vision. The object detection problem is, given a digital image of a scene,… (more)

Subjects/Keywords: Active contours; Image segmentation; Visual tracking; PDE; Gradient flows; Mathematical optimization; Optical pattern recognition; Computer vision; Image analysis Data processing

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APA (6th Edition):

Sundaramoorthi, G. (2007). Global Optimizing Flows for Active Contours. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16145

Chicago Manual of Style (16th Edition):

Sundaramoorthi, Ganesh. “Global Optimizing Flows for Active Contours.” 2007. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/16145.

MLA Handbook (7th Edition):

Sundaramoorthi, Ganesh. “Global Optimizing Flows for Active Contours.” 2007. Web. 17 Oct 2019.

Vancouver:

Sundaramoorthi G. Global Optimizing Flows for Active Contours. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/16145.

Council of Science Editors:

Sundaramoorthi G. Global Optimizing Flows for Active Contours. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16145


Georgia Tech

89. Jackson, Jeremy D. Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 This dissertation gives a general model for the estimation of shape (image segmentation), appearance, pose (image registration), and movement (tracking). The model can infer parameters… (more)

Subjects/Keywords: Appearance models; Tracking; Registration; Segmentation; Image processing; Computer vision

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APA (6th Edition):

Jackson, J. D. (2007). Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16305

Chicago Manual of Style (16th Edition):

Jackson, Jeremy D. “Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking.” 2007. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/16305.

MLA Handbook (7th Edition):

Jackson, Jeremy D. “Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking.” 2007. Web. 17 Oct 2019.

Vancouver:

Jackson JD. Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/16305.

Council of Science Editors:

Jackson JD. Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16305


Georgia Tech

90. Ji, Meng. Graph-Based Control of Networked Systems.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 Networked systems have attracted great interests from the control society during the last decade. Several issues rising from the recent research are addressed in this… (more)

Subjects/Keywords: Graph theory; Coordination control; Multi-agent systems; Networked systems; Controllability; Observability; Graph theory; Heterogeneous computing; Computer networks; Control theory

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APA (6th Edition):

Ji, M. (2007). Graph-Based Control of Networked Systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16313

Chicago Manual of Style (16th Edition):

Ji, Meng. “Graph-Based Control of Networked Systems.” 2007. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/16313.

MLA Handbook (7th Edition):

Ji, Meng. “Graph-Based Control of Networked Systems.” 2007. Web. 17 Oct 2019.

Vancouver:

Ji M. Graph-Based Control of Networked Systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/16313.

Council of Science Editors:

Ji M. Graph-Based Control of Networked Systems. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16313

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