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You searched for +publisher:"Cornell University" +contributor:("Snavely,Keith Noah"). Showing records 1 – 26 of 26 total matches.

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Cornell University

1. Lin, Tsung-Yi. Detecting Common Objects in Context .

Degree: 2017, Cornell University

 Visual scene understanding is a basic function of human perception and one of the primary goals of computer vision. Object detection, which involves recognizing and… (more)

Subjects/Keywords: Crowdsourcing; Object Recognition; Artificial intelligence; computer vision; Computer science; machine learning

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APA (6th Edition):

Lin, T. (2017). Detecting Common Objects in Context . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/56711

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

Chicago Manual of Style (16th Edition):

Lin, Tsung-Yi. “Detecting Common Objects in Context .” 2017. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/56711.

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

MLA Handbook (7th Edition):

Lin, Tsung-Yi. “Detecting Common Objects in Context .” 2017. Web. 21 Jan 2020.

Vancouver:

Lin T. Detecting Common Objects in Context . [Internet] [Thesis]. Cornell University; 2017. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/56711.

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

Council of Science Editors:

Lin T. Detecting Common Objects in Context . [Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/56711

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


Cornell University

2. Padgett, Jennifer. PRACTICAL QUALITATIVE RELATIONAL MAPPING AND NAVIGATION FOR ROBOTS .

Degree: 2017, Cornell University

 Qualitative relational maps, which represent space as a set of coarse, relative relationships between landmarks are useful abstractions of space for robots. While qualitative relational… (more)

Subjects/Keywords: Estimation; Mapping; Perception; Qualitative Relational Maps; Qualitative Spatial Reasoning; Robotics

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APA (6th Edition):

Padgett, J. (2017). PRACTICAL QUALITATIVE RELATIONAL MAPPING AND NAVIGATION FOR ROBOTS . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/56783

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

Chicago Manual of Style (16th Edition):

Padgett, Jennifer. “PRACTICAL QUALITATIVE RELATIONAL MAPPING AND NAVIGATION FOR ROBOTS .” 2017. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/56783.

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

MLA Handbook (7th Edition):

Padgett, Jennifer. “PRACTICAL QUALITATIVE RELATIONAL MAPPING AND NAVIGATION FOR ROBOTS .” 2017. Web. 21 Jan 2020.

Vancouver:

Padgett J. PRACTICAL QUALITATIVE RELATIONAL MAPPING AND NAVIGATION FOR ROBOTS . [Internet] [Thesis]. Cornell University; 2017. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/56783.

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

Council of Science Editors:

Padgett J. PRACTICAL QUALITATIVE RELATIONAL MAPPING AND NAVIGATION FOR ROBOTS . [Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/56783

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


Cornell University

3. Lee, Jaesung. Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans .

Degree: 2011, Cornell University

 Recent advances in CT technologies have enabled clinicians to obtain threedimensional (3D) volumetric images with high resolution. In this research, fullyautomated methods to analyze anatomical… (more)

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APA (6th Edition):

Lee, J. (2011). Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33545

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

Chicago Manual of Style (16th Edition):

Lee, Jaesung. “Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans .” 2011. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/33545.

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

MLA Handbook (7th Edition):

Lee, Jaesung. “Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans .” 2011. Web. 21 Jan 2020.

Vancouver:

Lee J. Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans . [Internet] [Thesis]. Cornell University; 2011. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/33545.

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

Council of Science Editors:

Lee J. Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/33545

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


Cornell University

4. Fotin, Sergey. Computer-Aided Detection Of Pulmonary Nodules From Ct Scans .

Degree: 2011, Cornell University

 Lung cancer is the leading cause of cancer related death in the world. Computed tomography (CT), which can provide detailed images of lung structure, makes… (more)

Subjects/Keywords: Computer-aided detection; Pulmonary nodules; Computed tomography

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APA (6th Edition):

Fotin, S. (2011). Computer-Aided Detection Of Pulmonary Nodules From Ct Scans . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33630

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

Chicago Manual of Style (16th Edition):

Fotin, Sergey. “Computer-Aided Detection Of Pulmonary Nodules From Ct Scans .” 2011. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/33630.

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

MLA Handbook (7th Edition):

Fotin, Sergey. “Computer-Aided Detection Of Pulmonary Nodules From Ct Scans .” 2011. Web. 21 Jan 2020.

Vancouver:

Fotin S. Computer-Aided Detection Of Pulmonary Nodules From Ct Scans . [Internet] [Thesis]. Cornell University; 2011. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/33630.

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

Council of Science Editors:

Fotin S. Computer-Aided Detection Of Pulmonary Nodules From Ct Scans . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/33630

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


Cornell University

5. Radecki, Peter. Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles .

Degree: 2016, Cornell University

 Probabilistic inference and reasoning is applied to two major application areas: HVAC controls in buildings and autonomous vehicle perception. Although the physical domains differ vastly,… (more)

Subjects/Keywords: Kalman Filter; Probabilistic Inference; Model Predictive Control

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APA (6th Edition):

Radecki, P. (2016). Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/44364

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

Chicago Manual of Style (16th Edition):

Radecki, Peter. “Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles .” 2016. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/44364.

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

MLA Handbook (7th Edition):

Radecki, Peter. “Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles .” 2016. Web. 21 Jan 2020.

Vancouver:

Radecki P. Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles . [Internet] [Thesis]. Cornell University; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/44364.

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

Council of Science Editors:

Radecki P. Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/44364

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


Cornell University

6. Wyffels, Kevin. Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models .

Degree: 2016, Cornell University

 Inspired by human perception, novel research into the sub-domain of robotic perception, known as extended object tracking, is presented. This research is motivated by the… (more)

Subjects/Keywords: Autonomous Vehicles; Extended Object Tracking; Probabilistic Inference

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APA (6th Edition):

Wyffels, K. (2016). Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/43659

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

Chicago Manual of Style (16th Edition):

Wyffels, Kevin. “Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models .” 2016. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/43659.

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

MLA Handbook (7th Edition):

Wyffels, Kevin. “Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models .” 2016. Web. 21 Jan 2020.

Vancouver:

Wyffels K. Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models . [Internet] [Thesis]. Cornell University; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/43659.

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

Council of Science Editors:

Wyffels K. Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/43659

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


Cornell University

7. Huang, Qi. Analysis And Design Of Advanced Caching Solutions For The Modern Web .

Degree: 2014, Cornell University

 The rise of modern Web applications has seen a surge in the quantity of digital content - photos, videos, and user interactions - stored, accessed,… (more)

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APA (6th Edition):

Huang, Q. (2014). Analysis And Design Of Advanced Caching Solutions For The Modern Web . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/38907

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

Chicago Manual of Style (16th Edition):

Huang, Qi. “Analysis And Design Of Advanced Caching Solutions For The Modern Web .” 2014. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/38907.

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

MLA Handbook (7th Edition):

Huang, Qi. “Analysis And Design Of Advanced Caching Solutions For The Modern Web .” 2014. Web. 21 Jan 2020.

Vancouver:

Huang Q. Analysis And Design Of Advanced Caching Solutions For The Modern Web . [Internet] [Thesis]. Cornell University; 2014. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/38907.

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

Council of Science Editors:

Huang Q. Analysis And Design Of Advanced Caching Solutions For The Modern Web . [Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/38907

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


Cornell University

8. Misra, Dipendra Kumar. Scalable and Interpretable Approaches for Learning to Follow Natural Language Instructions .

Degree: 2019, Cornell University

 Agents that can execute natural language instructions have many applications. For example, an assistive house robot that can follow instructions will reduce the time spent… (more)

Subjects/Keywords: Natural language understanding; reinforcement learning; semantic parsing; Deep Learning; Artificial intelligence; computer vision; machine learning

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APA (6th Edition):

Misra, D. K. (2019). Scalable and Interpretable Approaches for Learning to Follow Natural Language Instructions . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/67334

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

Chicago Manual of Style (16th Edition):

Misra, Dipendra Kumar. “Scalable and Interpretable Approaches for Learning to Follow Natural Language Instructions .” 2019. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/67334.

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

MLA Handbook (7th Edition):

Misra, Dipendra Kumar. “Scalable and Interpretable Approaches for Learning to Follow Natural Language Instructions .” 2019. Web. 21 Jan 2020.

Vancouver:

Misra DK. Scalable and Interpretable Approaches for Learning to Follow Natural Language Instructions . [Internet] [Thesis]. Cornell University; 2019. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/67334.

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

Council of Science Editors:

Misra DK. Scalable and Interpretable Approaches for Learning to Follow Natural Language Instructions . [Thesis]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/67334

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


Cornell University

9. Jirapatnakul, Artit. Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images .

Degree: 2013, Cornell University

 Pulmonary nodules are visible as dense, opaque areas in the lung on computed tomography (CT) images and may be early indications of lung cancer. Pulmonary… (more)

Subjects/Keywords: pulmonary nodule; growth rate; computer-aided diagnosis

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APA (6th Edition):

Jirapatnakul, A. (2013). Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33804

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

Chicago Manual of Style (16th Edition):

Jirapatnakul, Artit. “Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images .” 2013. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/33804.

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

MLA Handbook (7th Edition):

Jirapatnakul, Artit. “Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images .” 2013. Web. 21 Jan 2020.

Vancouver:

Jirapatnakul A. Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images . [Internet] [Thesis]. Cornell University; 2013. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/33804.

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

Council of Science Editors:

Jirapatnakul A. Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images . [Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/33804

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


Cornell University

10. Lenz, Ian. Deep Learning For Robotics .

Degree: 2016, Cornell University

 Robotics faces many unique challenges as robotic platforms move out of the lab and into the real world. In particular, the huge amount of variety… (more)

Subjects/Keywords: Robotics; Machine learning; Deep learning

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APA (6th Edition):

Lenz, I. (2016). Deep Learning For Robotics . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/44317

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

Chicago Manual of Style (16th Edition):

Lenz, Ian. “Deep Learning For Robotics .” 2016. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/44317.

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

MLA Handbook (7th Edition):

Lenz, Ian. “Deep Learning For Robotics .” 2016. Web. 21 Jan 2020.

Vancouver:

Lenz I. Deep Learning For Robotics . [Internet] [Thesis]. Cornell University; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/44317.

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

Council of Science Editors:

Lenz I. Deep Learning For Robotics . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/44317

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

11. Xie, Yiting. FULLY-AUTOMATED QUANTITATIVE ANALYSIS OF CARDIAC AND LUNG DISEASES FROM THORACIC LOW-DOSE CT IMAGES .

Degree: 2017, Cornell University

 Quantitative image biomarkers are emerging as a method for precision medical diagnosis. Fully-automated computer algorithms are explored to provide clinically useful biomarker measurements for the… (more)

Subjects/Keywords: Electrical engineering; Cardiac and lung biomarkers; Computer analysis of medical images; Fully-automated CAD; Low-dose CT images; Computer science; Biomedical engineering

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APA (6th Edition):

Xie, Y. (2017). FULLY-AUTOMATED QUANTITATIVE ANALYSIS OF CARDIAC AND LUNG DISEASES FROM THORACIC LOW-DOSE CT IMAGES . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/56784

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

Chicago Manual of Style (16th Edition):

Xie, Yiting. “FULLY-AUTOMATED QUANTITATIVE ANALYSIS OF CARDIAC AND LUNG DISEASES FROM THORACIC LOW-DOSE CT IMAGES .” 2017. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/56784.

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

MLA Handbook (7th Edition):

Xie, Yiting. “FULLY-AUTOMATED QUANTITATIVE ANALYSIS OF CARDIAC AND LUNG DISEASES FROM THORACIC LOW-DOSE CT IMAGES .” 2017. Web. 21 Jan 2020.

Vancouver:

Xie Y. FULLY-AUTOMATED QUANTITATIVE ANALYSIS OF CARDIAC AND LUNG DISEASES FROM THORACIC LOW-DOSE CT IMAGES . [Internet] [Thesis]. Cornell University; 2017. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/56784.

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

Council of Science Editors:

Xie Y. FULLY-AUTOMATED QUANTITATIVE ANALYSIS OF CARDIAC AND LUNG DISEASES FROM THORACIC LOW-DOSE CT IMAGES . [Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/56784

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

12. Moghimi Najafabadi, Mohammad. Analyzing Life-logging Image Sequences .

Degree: 2017, Cornell University

 With the abundance of ubiquitous cameras, it has become easier people take pictures of everything and everywhere. People take pictures of their possessions, interesting subjects… (more)

Subjects/Keywords: Boosting; Classification; Deep Learning; Life Logging; computer vision; Computer science; machine learning

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APA (6th Edition):

Moghimi Najafabadi, M. (2017). Analyzing Life-logging Image Sequences . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/47882

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

Chicago Manual of Style (16th Edition):

Moghimi Najafabadi, Mohammad. “Analyzing Life-logging Image Sequences .” 2017. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/47882.

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

MLA Handbook (7th Edition):

Moghimi Najafabadi, Mohammad. “Analyzing Life-logging Image Sequences .” 2017. Web. 21 Jan 2020.

Vancouver:

Moghimi Najafabadi M. Analyzing Life-logging Image Sequences . [Internet] [Thesis]. Cornell University; 2017. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/47882.

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

Council of Science Editors:

Moghimi Najafabadi M. Analyzing Life-logging Image Sequences . [Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/47882

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


Cornell University

13. Jia, Zhaoyin. 3D Scene Understanding: From Segments To Volumes .

Degree: 2014, Cornell University

 Segmentation is one of the fundamental computer vision problems and has been investigated over years. In this thesis, we present algorithms for RGB-D image segmentation,… (more)

Subjects/Keywords: Scene Understanding; RGB-D Segmentation; Computer Vision

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APA (6th Edition):

Jia, Z. (2014). 3D Scene Understanding: From Segments To Volumes . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/36199

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

Chicago Manual of Style (16th Edition):

Jia, Zhaoyin. “3D Scene Understanding: From Segments To Volumes .” 2014. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/36199.

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

MLA Handbook (7th Edition):

Jia, Zhaoyin. “3D Scene Understanding: From Segments To Volumes .” 2014. Web. 21 Jan 2020.

Vancouver:

Jia Z. 3D Scene Understanding: From Segments To Volumes . [Internet] [Thesis]. Cornell University; 2014. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/36199.

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

Council of Science Editors:

Jia Z. 3D Scene Understanding: From Segments To Volumes . [Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/36199

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


Cornell University

14. Boyadzhiev, Ivaylo. Computational Lighting Design And Image Filtering For Material Enhancement .

Degree: 2015, Cornell University

 Photography provides a powerful tool for depicting the world around us by capturing the intricate relationship between light and materials. Indeed, much of the art… (more)

Subjects/Keywords: computational lighting design; multi-lights white balance; image-based material editing

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APA (6th Edition):

Boyadzhiev, I. (2015). Computational Lighting Design And Image Filtering For Material Enhancement . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/41097

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

Chicago Manual of Style (16th Edition):

Boyadzhiev, Ivaylo. “Computational Lighting Design And Image Filtering For Material Enhancement .” 2015. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/41097.

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

MLA Handbook (7th Edition):

Boyadzhiev, Ivaylo. “Computational Lighting Design And Image Filtering For Material Enhancement .” 2015. Web. 21 Jan 2020.

Vancouver:

Boyadzhiev I. Computational Lighting Design And Image Filtering For Material Enhancement . [Internet] [Thesis]. Cornell University; 2015. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/41097.

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

Council of Science Editors:

Boyadzhiev I. Computational Lighting Design And Image Filtering For Material Enhancement . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41097

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


Cornell University

15. Lou, Yin. Intelligible Models: Recovering Low Dimensional Additive Structure For Machine Learning Models .

Degree: 2014, Cornell University

 Different supervised learning models have different bias-variance tradeoffs. For low dimensional problems, low-bias models such boosted trees or SVMs with RBF kernels are very accurate… (more)

Subjects/Keywords: intelligible models; classification and regression; interaction detection

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APA (6th Edition):

Lou, Y. (2014). Intelligible Models: Recovering Low Dimensional Additive Structure For Machine Learning Models . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/37146

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

Chicago Manual of Style (16th Edition):

Lou, Yin. “Intelligible Models: Recovering Low Dimensional Additive Structure For Machine Learning Models .” 2014. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/37146.

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

MLA Handbook (7th Edition):

Lou, Yin. “Intelligible Models: Recovering Low Dimensional Additive Structure For Machine Learning Models .” 2014. Web. 21 Jan 2020.

Vancouver:

Lou Y. Intelligible Models: Recovering Low Dimensional Additive Structure For Machine Learning Models . [Internet] [Thesis]. Cornell University; 2014. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/37146.

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

Council of Science Editors:

Lou Y. Intelligible Models: Recovering Low Dimensional Additive Structure For Machine Learning Models . [Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/37146

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


Cornell University

16. Liu, Albert Julius. Applications of numerical optimization in graphics and games .

Degree: 2018, Cornell University

 This dissertation begins with a camera calibration system, Caliber, which solves pose estimation problems consisting of two types of constraints: relative pose constraints, resulting from… (more)

Subjects/Keywords: Game theory; Computer science; Computer Graphics; camera calibration; numerical optimization; procedural textures

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APA (6th Edition):

Liu, A. J. (2018). Applications of numerical optimization in graphics and games . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59428

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

Chicago Manual of Style (16th Edition):

Liu, Albert Julius. “Applications of numerical optimization in graphics and games .” 2018. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/59428.

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

MLA Handbook (7th Edition):

Liu, Albert Julius. “Applications of numerical optimization in graphics and games .” 2018. Web. 21 Jan 2020.

Vancouver:

Liu AJ. Applications of numerical optimization in graphics and games . [Internet] [Thesis]. Cornell University; 2018. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/59428.

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

Council of Science Editors:

Liu AJ. Applications of numerical optimization in graphics and games . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59428

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


Cornell University

17. Havlak, Francis. Probabilistic Anticipation For Autonomous Urban Robots .

Degree: 2015, Cornell University

 The ability to anticipate the behavior of other vehicles on the road is a key part of how humans drive safely in complex environments. This… (more)

Subjects/Keywords: Autonomous Driving; Bayesian Estimation; Machine Learning

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APA (6th Edition):

Havlak, F. (2015). Probabilistic Anticipation For Autonomous Urban Robots . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/40632

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

Chicago Manual of Style (16th Edition):

Havlak, Francis. “Probabilistic Anticipation For Autonomous Urban Robots .” 2015. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/40632.

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

MLA Handbook (7th Edition):

Havlak, Francis. “Probabilistic Anticipation For Autonomous Urban Robots .” 2015. Web. 21 Jan 2020.

Vancouver:

Havlak F. Probabilistic Anticipation For Autonomous Urban Robots . [Internet] [Thesis]. Cornell University; 2015. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/40632.

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

Council of Science Editors:

Havlak F. Probabilistic Anticipation For Autonomous Urban Robots . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40632

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


Cornell University

18. Upchurch, Paul. Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks .

Degree: 2018, Cornell University

 Fully automatic processing of images is a key challenge for the 21st century. Our processing needs lie beyond just organizing photos by date and location.… (more)

Subjects/Keywords: computer vision; machine learning; Computer science

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APA (6th Edition):

Upchurch, P. (2018). Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59808

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

Chicago Manual of Style (16th Edition):

Upchurch, Paul. “Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks .” 2018. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/59808.

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

MLA Handbook (7th Edition):

Upchurch, Paul. “Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks .” 2018. Web. 21 Jan 2020.

Vancouver:

Upchurch P. Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks . [Internet] [Thesis]. Cornell University; 2018. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/59808.

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

Council of Science Editors:

Upchurch P. Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59808

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

19. Kowdle, Adarsh. Putting The User In The Loop For Image-Based Modeling .

Degree: 2013, Cornell University

Subjects/Keywords: Computer Vision; Machine Learning; Image-Based Modeling; Interactive Computer Vision Algorithms

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APA (6th Edition):

Kowdle, A. (2013). Putting The User In The Loop For Image-Based Modeling . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/34106

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

Chicago Manual of Style (16th Edition):

Kowdle, Adarsh. “Putting The User In The Loop For Image-Based Modeling .” 2013. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/34106.

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

MLA Handbook (7th Edition):

Kowdle, Adarsh. “Putting The User In The Loop For Image-Based Modeling .” 2013. Web. 21 Jan 2020.

Vancouver:

Kowdle A. Putting The User In The Loop For Image-Based Modeling . [Internet] [Thesis]. Cornell University; 2013. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/34106.

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

Council of Science Editors:

Kowdle A. Putting The User In The Loop For Image-Based Modeling . [Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/34106

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


Cornell University

20. Shu, Henry. Understanding Humans And Objects Based On Context .

Degree: 2013, Cornell University

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

APA (6th Edition):

Shu, H. (2013). Understanding Humans And Objects Based On Context . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/34252

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

Chicago Manual of Style (16th Edition):

Shu, Henry. “Understanding Humans And Objects Based On Context .” 2013. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/34252.

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

MLA Handbook (7th Edition):

Shu, Henry. “Understanding Humans And Objects Based On Context .” 2013. Web. 21 Jan 2020.

Vancouver:

Shu H. Understanding Humans And Objects Based On Context . [Internet] [Thesis]. Cornell University; 2013. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/34252.

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

Council of Science Editors:

Shu H. Understanding Humans And Objects Based On Context . [Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/34252

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

21. Cui, Yin. Learning from Fine-Grained and Long-Tailed Visual Data .

Degree: 2019, Cornell University

 The visual world is fine-grained and long-tailed: many classes are difficult to distinguish; a few classes account for most of the data, while most classes… (more)

Subjects/Keywords: Computer science

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APA (6th Edition):

Cui, Y. (2019). Learning from Fine-Grained and Long-Tailed Visual Data . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/67522

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

Chicago Manual of Style (16th Edition):

Cui, Yin. “Learning from Fine-Grained and Long-Tailed Visual Data .” 2019. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/67522.

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

MLA Handbook (7th Edition):

Cui, Yin. “Learning from Fine-Grained and Long-Tailed Visual Data .” 2019. Web. 21 Jan 2020.

Vancouver:

Cui Y. Learning from Fine-Grained and Long-Tailed Visual Data . [Internet] [Thesis]. Cornell University; 2019. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/67522.

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

Council of Science Editors:

Cui Y. Learning from Fine-Grained and Long-Tailed Visual Data . [Thesis]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/67522

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

22. Sipos, Ruben. Condensing Information: From Supervised To Crowdsourced Learning .

Degree: 2014, Cornell University

 The main focus of this dissertation is new and improved ways of bringing high quality content to the users by leveraging the power of machine… (more)

Subjects/Keywords: Condensing Information; Summarization; Machine Learning

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APA (6th Edition):

Sipos, R. (2014). Condensing Information: From Supervised To Crowdsourced Learning . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/39008

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

Chicago Manual of Style (16th Edition):

Sipos, Ruben. “Condensing Information: From Supervised To Crowdsourced Learning .” 2014. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/39008.

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

MLA Handbook (7th Edition):

Sipos, Ruben. “Condensing Information: From Supervised To Crowdsourced Learning .” 2014. Web. 21 Jan 2020.

Vancouver:

Sipos R. Condensing Information: From Supervised To Crowdsourced Learning . [Internet] [Thesis]. Cornell University; 2014. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/39008.

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

Council of Science Editors:

Sipos R. Condensing Information: From Supervised To Crowdsourced Learning . [Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/39008

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


Cornell University

23. Bell, Sean Cameron. Understanding Visual Appearance On The Web Using Large-Scale Crowdsourcing And Deep Learning .

Degree: 2016, Cornell University

Subjects/Keywords: Crowdsourcing; Deep learning; Material recognition

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APA (6th Edition):

Bell, S. C. (2016). Understanding Visual Appearance On The Web Using Large-Scale Crowdsourcing And Deep Learning . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/45344

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

Chicago Manual of Style (16th Edition):

Bell, Sean Cameron. “Understanding Visual Appearance On The Web Using Large-Scale Crowdsourcing And Deep Learning .” 2016. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/45344.

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

MLA Handbook (7th Edition):

Bell, Sean Cameron. “Understanding Visual Appearance On The Web Using Large-Scale Crowdsourcing And Deep Learning .” 2016. Web. 21 Jan 2020.

Vancouver:

Bell SC. Understanding Visual Appearance On The Web Using Large-Scale Crowdsourcing And Deep Learning . [Internet] [Thesis]. Cornell University; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/45344.

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

Council of Science Editors:

Bell SC. Understanding Visual Appearance On The Web Using Large-Scale Crowdsourcing And Deep Learning . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/45344

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


Cornell University

24. Gao, Yue. The Pursuit Of Happiness: Hedonic And Eudaimonic Well-Being For Intrinsically Motivated Agents .

Degree: 2016, Cornell University

Subjects/Keywords: Subjective well-being; Reinforcement learning; Agent based models

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APA (6th Edition):

Gao, Y. (2016). The Pursuit Of Happiness: Hedonic And Eudaimonic Well-Being For Intrinsically Motivated Agents . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/44401

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

Chicago Manual of Style (16th Edition):

Gao, Yue. “The Pursuit Of Happiness: Hedonic And Eudaimonic Well-Being For Intrinsically Motivated Agents .” 2016. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/44401.

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

MLA Handbook (7th Edition):

Gao, Yue. “The Pursuit Of Happiness: Hedonic And Eudaimonic Well-Being For Intrinsically Motivated Agents .” 2016. Web. 21 Jan 2020.

Vancouver:

Gao Y. The Pursuit Of Happiness: Hedonic And Eudaimonic Well-Being For Intrinsically Motivated Agents . [Internet] [Thesis]. Cornell University; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/44401.

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

Council of Science Editors:

Gao Y. The Pursuit Of Happiness: Hedonic And Eudaimonic Well-Being For Intrinsically Motivated Agents . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/44401

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


Cornell University

25. Lee, Daniel. Environmental Estimation And Smoothing Algorithms For Dynamic And Modular Robots .

Degree: 2016, Cornell University

Subjects/Keywords: Robotics; Estimation; Smoothing

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APA (6th Edition):

Lee, D. (2016). Environmental Estimation And Smoothing Algorithms For Dynamic And Modular Robots . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/45165

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

Chicago Manual of Style (16th Edition):

Lee, Daniel. “Environmental Estimation And Smoothing Algorithms For Dynamic And Modular Robots .” 2016. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/45165.

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

MLA Handbook (7th Edition):

Lee, Daniel. “Environmental Estimation And Smoothing Algorithms For Dynamic And Modular Robots .” 2016. Web. 21 Jan 2020.

Vancouver:

Lee D. Environmental Estimation And Smoothing Algorithms For Dynamic And Modular Robots . [Internet] [Thesis]. Cornell University; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/45165.

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

Council of Science Editors:

Lee D. Environmental Estimation And Smoothing Algorithms For Dynamic And Modular Robots . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/45165

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


Cornell University

26. Fang, Ruogu. Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment .

Degree: 2014, Cornell University

Subjects/Keywords: Deconvolution; Dictionary Learning; Sparse Representation

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APA (6th Edition):

Fang, R. (2014). Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/38911

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

Chicago Manual of Style (16th Edition):

Fang, Ruogu. “Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment .” 2014. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/38911.

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

MLA Handbook (7th Edition):

Fang, Ruogu. “Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment .” 2014. Web. 21 Jan 2020.

Vancouver:

Fang R. Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment . [Internet] [Thesis]. Cornell University; 2014. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/38911.

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

Council of Science Editors:

Fang R. Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment . [Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/38911

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

.