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You searched for +publisher:"Oregon State University" +contributor:("Fern, Alan"). Showing records 1 – 30 of 31 total matches.

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Oregon State University

1. Raghavan, Aswin. Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces.

Degree: PhD, Computer Science, 2017, Oregon State University

 Markov Decision Processes (MDPs) are the de-facto formalism for studying sequential decision making problems with uncertainty, ranging from classical problems such as inventory control and… (more)

Subjects/Keywords: Planning under uncertainty; Markov processes

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APA (6th Edition):

Raghavan, A. (2017). Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/60559

Chicago Manual of Style (16th Edition):

Raghavan, Aswin. “Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces.” 2017. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/60559.

MLA Handbook (7th Edition):

Raghavan, Aswin. “Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces.” 2017. Web. 19 Apr 2019.

Vancouver:

Raghavan A. Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/60559.

Council of Science Editors:

Raghavan A. Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60559


Oregon State University

2. Vatturi, Pavan Kumar. Rare category detection using hierarchical mean shift.

Degree: MS, Computer Science, 2009, Oregon State University

 Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to identify statistically significant… (more)

Subjects/Keywords: machine learning; Machine learning

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APA (6th Edition):

Vatturi, P. K. (2009). Rare category detection using hierarchical mean shift. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/10191

Chicago Manual of Style (16th Edition):

Vatturi, Pavan Kumar. “Rare category detection using hierarchical mean shift.” 2009. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/10191.

MLA Handbook (7th Edition):

Vatturi, Pavan Kumar. “Rare category detection using hierarchical mean shift.” 2009. Web. 19 Apr 2019.

Vancouver:

Vatturi PK. Rare category detection using hierarchical mean shift. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/10191.

Council of Science Editors:

Vatturi PK. Rare category detection using hierarchical mean shift. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/10191


Oregon State University

3. Balla, Radha-Krishna. UCT for tactical assault battles in real-time strategy games.

Degree: MS, Computer Science, 2009, Oregon State University

 We consider the problem of tactical assault planning in real-time strategy games where a team of friendly agents must launch an assault on an enemy.… (more)

Subjects/Keywords: Automated Planning; Computer war games  – Computer programs

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APA (6th Edition):

Balla, R. (2009). UCT for tactical assault battles in real-time strategy games. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/10680

Chicago Manual of Style (16th Edition):

Balla, Radha-Krishna. “UCT for tactical assault battles in real-time strategy games.” 2009. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/10680.

MLA Handbook (7th Edition):

Balla, Radha-Krishna. “UCT for tactical assault battles in real-time strategy games.” 2009. Web. 19 Apr 2019.

Vancouver:

Balla R. UCT for tactical assault battles in real-time strategy games. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/10680.

Council of Science Editors:

Balla R. UCT for tactical assault battles in real-time strategy games. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/10680


Oregon State University

4. Hao, Guohua. Revisiting output coding for sequential supervised learning.

Degree: MS, Computer Science, 2009, Oregon State University

 Markov models are commonly used for joint inference of label sequences. Unfortunately, inference scales quadratically in the number of labels, which is problematic for training… (more)

Subjects/Keywords: ECOC; Supervised learning (Machine learning)

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APA (6th Edition):

Hao, G. (2009). Revisiting output coding for sequential supervised learning. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/10897

Chicago Manual of Style (16th Edition):

Hao, Guohua. “Revisiting output coding for sequential supervised learning.” 2009. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/10897.

MLA Handbook (7th Edition):

Hao, Guohua. “Revisiting output coding for sequential supervised learning.” 2009. Web. 19 Apr 2019.

Vancouver:

Hao G. Revisiting output coding for sequential supervised learning. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/10897.

Council of Science Editors:

Hao G. Revisiting output coding for sequential supervised learning. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/10897


Oregon State University

5. Surve, Akshat Sudhakar. Learning multiple non-redundant codebooks with word clustering for document classification.

Degree: MS, Computer Science, 2009, Oregon State University

 The problem of document classification has been widely studied in machine learning and data mining. In document classification, most of the popular algorithms are based… (more)

Subjects/Keywords: Document Classification; Machine learning

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APA (6th Edition):

Surve, A. S. (2009). Learning multiple non-redundant codebooks with word clustering for document classification. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/12004

Chicago Manual of Style (16th Edition):

Surve, Akshat Sudhakar. “Learning multiple non-redundant codebooks with word clustering for document classification.” 2009. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/12004.

MLA Handbook (7th Edition):

Surve, Akshat Sudhakar. “Learning multiple non-redundant codebooks with word clustering for document classification.” 2009. Web. 19 Apr 2019.

Vancouver:

Surve AS. Learning multiple non-redundant codebooks with word clustering for document classification. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/12004.

Council of Science Editors:

Surve AS. Learning multiple non-redundant codebooks with word clustering for document classification. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/12004


Oregon State University

6. Hao, Guohua. Efficient training and feature induction in sequential supervised learning.

Degree: PhD, Computer Science, 2009, Oregon State University

 Sequential supervised learning problems arise in many real applications. This dissertation focuses on two important research directions in sequential supervised learning: efficient training and feature… (more)

Subjects/Keywords: Machine Learning; Supervised learning (Machine learning)  – Mathematical models

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APA (6th Edition):

Hao, G. (2009). Efficient training and feature induction in sequential supervised learning. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/12548

Chicago Manual of Style (16th Edition):

Hao, Guohua. “Efficient training and feature induction in sequential supervised learning.” 2009. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/12548.

MLA Handbook (7th Edition):

Hao, Guohua. “Efficient training and feature induction in sequential supervised learning.” 2009. Web. 19 Apr 2019.

Vancouver:

Hao G. Efficient training and feature induction in sequential supervised learning. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/12548.

Council of Science Editors:

Hao G. Efficient training and feature induction in sequential supervised learning. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/12548


Oregon State University

7. Zaid, Adem Mabruk. Enhancing macrocell downlink performance through femtocell user cooperation.

Degree: MS, Electrical and Computer Engineering, 2011, Oregon State University

 This thesis studies cooperative techniques that rely on femtocell user diversity to improve the downlink communication quality of macrocell users. We analytically analyze and evaluate… (more)

Subjects/Keywords: macrocell; Femtocells

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APA (6th Edition):

Zaid, A. M. (2011). Enhancing macrocell downlink performance through femtocell user cooperation. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/25930

Chicago Manual of Style (16th Edition):

Zaid, Adem Mabruk. “Enhancing macrocell downlink performance through femtocell user cooperation.” 2011. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/25930.

MLA Handbook (7th Edition):

Zaid, Adem Mabruk. “Enhancing macrocell downlink performance through femtocell user cooperation.” 2011. Web. 19 Apr 2019.

Vancouver:

Zaid AM. Enhancing macrocell downlink performance through femtocell user cooperation. [Internet] [Masters thesis]. Oregon State University; 2011. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/25930.

Council of Science Editors:

Zaid AM. Enhancing macrocell downlink performance through femtocell user cooperation. [Masters Thesis]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/25930


Oregon State University

8. Nguyen-Huu, Duong. Network Coding, Random Matrices, and Their Applications to Communication Systems.

Degree: PhD, Electrical and Computer Science, 2016, Oregon State University

 In this work, we study network coding technique, its relation to random matrices, and their applications to communication systems. The dissertation consists of three main… (more)

Subjects/Keywords: network coding; Random matrices

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APA (6th Edition):

Nguyen-Huu, D. (2016). Network Coding, Random Matrices, and Their Applications to Communication Systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/58879

Chicago Manual of Style (16th Edition):

Nguyen-Huu, Duong. “Network Coding, Random Matrices, and Their Applications to Communication Systems.” 2016. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/58879.

MLA Handbook (7th Edition):

Nguyen-Huu, Duong. “Network Coding, Random Matrices, and Their Applications to Communication Systems.” 2016. Web. 19 Apr 2019.

Vancouver:

Nguyen-Huu D. Network Coding, Random Matrices, and Their Applications to Communication Systems. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/58879.

Council of Science Editors:

Nguyen-Huu D. Network Coding, Random Matrices, and Their Applications to Communication Systems. [Doctoral Dissertation]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/58879


Oregon State University

9. Chen, Sheng. Object Tracking-by-Segmentation in Videos.

Degree: PhD, Computer Science, 2017, Oregon State University

 This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of… (more)

Subjects/Keywords: Tracking; Image segmentation

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APA (6th Edition):

Chen, S. (2017). Object Tracking-by-Segmentation in Videos. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/60452

Chicago Manual of Style (16th Edition):

Chen, Sheng. “Object Tracking-by-Segmentation in Videos.” 2017. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/60452.

MLA Handbook (7th Edition):

Chen, Sheng. “Object Tracking-by-Segmentation in Videos.” 2017. Web. 19 Apr 2019.

Vancouver:

Chen S. Object Tracking-by-Segmentation in Videos. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/60452.

Council of Science Editors:

Chen S. Object Tracking-by-Segmentation in Videos. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60452


Oregon State University

10. Lewis, Paul (Paul Arthur). Ensemble Monte-Carlo planning : an empirical study.

Degree: MS, Computer Science, 2010, Oregon State University

 Monte-Carlo planning algorithms such as UCT make decisions at each step by intelligently expanding a single search tree given the available time and then selecting… (more)

Subjects/Keywords: planning; Monte Carlo method

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APA (6th Edition):

Lewis, P. (. A. (2010). Ensemble Monte-Carlo planning : an empirical study. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/16472

Chicago Manual of Style (16th Edition):

Lewis, Paul (Paul Arthur). “Ensemble Monte-Carlo planning : an empirical study.” 2010. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/16472.

MLA Handbook (7th Edition):

Lewis, Paul (Paul Arthur). “Ensemble Monte-Carlo planning : an empirical study.” 2010. Web. 19 Apr 2019.

Vancouver:

Lewis P(A. Ensemble Monte-Carlo planning : an empirical study. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/16472.

Council of Science Editors:

Lewis P(A. Ensemble Monte-Carlo planning : an empirical study. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/16472


Oregon State University

11. Amer, Mohamed R. Recognizing human group activities in video through mining optimal features.

Degree: MS, Electrical and Computer Engineering, 2011, Oregon State University

 Given a video, we would like to recognize group activities, localize video parts where these activities occur, and detect actors involved in them. To this… (more)

Subjects/Keywords: Computer Vision

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APA (6th Edition):

Amer, M. R. (2011). Recognizing human group activities in video through mining optimal features. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/21793

Chicago Manual of Style (16th Edition):

Amer, Mohamed R. “Recognizing human group activities in video through mining optimal features.” 2011. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/21793.

MLA Handbook (7th Edition):

Amer, Mohamed R. “Recognizing human group activities in video through mining optimal features.” 2011. Web. 19 Apr 2019.

Vancouver:

Amer MR. Recognizing human group activities in video through mining optimal features. [Internet] [Masters thesis]. Oregon State University; 2011. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/21793.

Council of Science Editors:

Amer MR. Recognizing human group activities in video through mining optimal features. [Masters Thesis]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/21793

12. Lu, Qingkai. Offensive Direction Inference in Real-World Football Video.

Degree: MS, Computer Science, 2015, Oregon State University

 Automatic analysis of American football videos can help teams develop strategies and extract patterns with less human effort. In this work, we focus on the… (more)

Subjects/Keywords: American football video; Computer vision

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APA (6th Edition):

Lu, Q. (2015). Offensive Direction Inference in Real-World Football Video. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/56218

Chicago Manual of Style (16th Edition):

Lu, Qingkai. “Offensive Direction Inference in Real-World Football Video.” 2015. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/56218.

MLA Handbook (7th Edition):

Lu, Qingkai. “Offensive Direction Inference in Real-World Football Video.” 2015. Web. 19 Apr 2019.

Vancouver:

Lu Q. Offensive Direction Inference in Real-World Football Video. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/56218.

Council of Science Editors:

Lu Q. Offensive Direction Inference in Real-World Football Video. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/56218

13. Nguyen-Huu, Duong. Fast queuing policies via convex relaxation.

Degree: MS, Electrical and Computer Engineering, 2013, Oregon State University

 Traditionally, networking protocol designs have placed much emphasis on point-to-point reliability and efficiency. With the recent rise of mobile and multimedia applications, other considerations such… (more)

Subjects/Keywords: network protocol design; Computer network protocols

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

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APA (6th Edition):

Nguyen-Huu, D. (2013). Fast queuing policies via convex relaxation. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/39388

Chicago Manual of Style (16th Edition):

Nguyen-Huu, Duong. “Fast queuing policies via convex relaxation.” 2013. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/39388.

MLA Handbook (7th Edition):

Nguyen-Huu, Duong. “Fast queuing policies via convex relaxation.” 2013. Web. 19 Apr 2019.

Vancouver:

Nguyen-Huu D. Fast queuing policies via convex relaxation. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/39388.

Council of Science Editors:

Nguyen-Huu D. Fast queuing policies via convex relaxation. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/39388

14. Amer, Mohamed R. Hierarchical graphical models for activity recognition in videos.

Degree: PhD, Electrical and Computer Engineering, 2014, Oregon State University

 This dissertation addresses the problem of recognizing human activities in videos. Our focus is on activities with stochastic structure, where the activities are characterized by… (more)

Subjects/Keywords: Activity Recognition; Computer vision

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APA (6th Edition):

Amer, M. R. (2014). Hierarchical graphical models for activity recognition in videos. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/49128

Chicago Manual of Style (16th Edition):

Amer, Mohamed R. “Hierarchical graphical models for activity recognition in videos.” 2014. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/49128.

MLA Handbook (7th Edition):

Amer, Mohamed R. “Hierarchical graphical models for activity recognition in videos.” 2014. Web. 19 Apr 2019.

Vancouver:

Amer MR. Hierarchical graphical models for activity recognition in videos. [Internet] [Doctoral dissertation]. Oregon State University; 2014. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/49128.

Council of Science Editors:

Amer MR. Hierarchical graphical models for activity recognition in videos. [Doctoral Dissertation]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/49128

15. Iscen, Atil. Multiagent learning for locomotion and coordination in tensegrity robotics.

Degree: PhD, Computer Science, 2014, Oregon State University

 Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages… (more)

Subjects/Keywords: Tensegrity; Multiagent systems

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APA (6th Edition):

Iscen, A. (2014). Multiagent learning for locomotion and coordination in tensegrity robotics. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/48617

Chicago Manual of Style (16th Edition):

Iscen, Atil. “Multiagent learning for locomotion and coordination in tensegrity robotics.” 2014. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/48617.

MLA Handbook (7th Edition):

Iscen, Atil. “Multiagent learning for locomotion and coordination in tensegrity robotics.” 2014. Web. 19 Apr 2019.

Vancouver:

Iscen A. Multiagent learning for locomotion and coordination in tensegrity robotics. [Internet] [Doctoral dissertation]. Oregon State University; 2014. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/48617.

Council of Science Editors:

Iscen A. Multiagent learning for locomotion and coordination in tensegrity robotics. [Doctoral Dissertation]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/48617

16. Shen, Jianqiang. Activity recognition in desktop environments.

Degree: PhD, Computer Science, 2009, Oregon State University

 Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life.… (more)

Subjects/Keywords: machine learning; Human activity recognition  – Data processing

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APA (6th Edition):

Shen, J. (2009). Activity recognition in desktop environments. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/11179

Chicago Manual of Style (16th Edition):

Shen, Jianqiang. “Activity recognition in desktop environments.” 2009. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/11179.

MLA Handbook (7th Edition):

Shen, Jianqiang. “Activity recognition in desktop environments.” 2009. Web. 19 Apr 2019.

Vancouver:

Shen J. Activity recognition in desktop environments. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/11179.

Council of Science Editors:

Shen J. Activity recognition in desktop environments. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/11179

17. Jothi, Shankar. Evaluation of Parallel Monte Carlo Tree Search Algorithms in Python.

Degree: MS, Computer Science, 2015, Oregon State University

 Monte-Carlo Tree Search (MCTS) is an online-planning algorithm for decision-theoretic planning in domains with stochastic and combinatorial structure. The general applicability of MCTS makes it… (more)

Subjects/Keywords: Artificial Intelligence; Python (Computer program language)

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APA (6th Edition):

Jothi, S. (2015). Evaluation of Parallel Monte Carlo Tree Search Algorithms in Python. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/56230

Chicago Manual of Style (16th Edition):

Jothi, Shankar. “Evaluation of Parallel Monte Carlo Tree Search Algorithms in Python.” 2015. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/56230.

MLA Handbook (7th Edition):

Jothi, Shankar. “Evaluation of Parallel Monte Carlo Tree Search Algorithms in Python.” 2015. Web. 19 Apr 2019.

Vancouver:

Jothi S. Evaluation of Parallel Monte Carlo Tree Search Algorithms in Python. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/56230.

Council of Science Editors:

Jothi S. Evaluation of Parallel Monte Carlo Tree Search Algorithms in Python. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/56230

18. Fiez, Trevor. An Analysis of Training Methodologies for Deep Visual Trackers.

Degree: MS, 2017, Oregon State University

 This thesis considers the problem of training convolutional neural networks for online visual tracking. A major challenge for single object visual tracking is that most… (more)

Subjects/Keywords: Visual Tracking

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APA (6th Edition):

Fiez, T. (2017). An Analysis of Training Methodologies for Deep Visual Trackers. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/61584

Chicago Manual of Style (16th Edition):

Fiez, Trevor. “An Analysis of Training Methodologies for Deep Visual Trackers.” 2017. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/61584.

MLA Handbook (7th Edition):

Fiez, Trevor. “An Analysis of Training Methodologies for Deep Visual Trackers.” 2017. Web. 19 Apr 2019.

Vancouver:

Fiez T. An Analysis of Training Methodologies for Deep Visual Trackers. [Internet] [Masters thesis]. Oregon State University; 2017. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/61584.

Council of Science Editors:

Fiez T. An Analysis of Training Methodologies for Deep Visual Trackers. [Masters Thesis]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61584

19. Bawaskar, Amit. Interactive player tracking for videos in American football.

Degree: MS, Computer Science, 2014, Oregon State University

 This thesis presents an interactive software tool for tracking a moving object in a video. In particular, we focus on the problem of tracking a… (more)

Subjects/Keywords: tracking; Computer vision

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APA (6th Edition):

Bawaskar, A. (2014). Interactive player tracking for videos in American football. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/49134

Chicago Manual of Style (16th Edition):

Bawaskar, Amit. “Interactive player tracking for videos in American football.” 2014. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/49134.

MLA Handbook (7th Edition):

Bawaskar, Amit. “Interactive player tracking for videos in American football.” 2014. Web. 19 Apr 2019.

Vancouver:

Bawaskar A. Interactive player tracking for videos in American football. [Internet] [Masters thesis]. Oregon State University; 2014. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/49134.

Council of Science Editors:

Bawaskar A. Interactive player tracking for videos in American football. [Masters Thesis]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/49134

20. Terhuja, Vikedo. Automatic Detection of Possessions and Shots from Raw Basketball Videos.

Degree: MS, Computer Science, 2015, Oregon State University

 Sports analytics is rapidly evolving today through the use of computer vision systems that automatically extract huge amount of information inherently present in multimedia data… (more)

Subjects/Keywords: Event Detection; Computer vision

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APA (6th Edition):

Terhuja, V. (2015). Automatic Detection of Possessions and Shots from Raw Basketball Videos. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/57940

Chicago Manual of Style (16th Edition):

Terhuja, Vikedo. “Automatic Detection of Possessions and Shots from Raw Basketball Videos.” 2015. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/57940.

MLA Handbook (7th Edition):

Terhuja, Vikedo. “Automatic Detection of Possessions and Shots from Raw Basketball Videos.” 2015. Web. 19 Apr 2019.

Vancouver:

Terhuja V. Automatic Detection of Possessions and Shots from Raw Basketball Videos. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/57940.

Council of Science Editors:

Terhuja V. Automatic Detection of Possessions and Shots from Raw Basketball Videos. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/57940

21. Hess, Robin W. Toward computer vision for understanding American football in video.

Degree: PhD, Computer Science, 2012, Oregon State University

 In this work, I examine the problem of understanding American football in video. In particular, I present several mid-level computer vision algorithms that each accomplish… (more)

Subjects/Keywords: Computer Vision; Computer vision

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APA (6th Edition):

Hess, R. W. (2012). Toward computer vision for understanding American football in video. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/30348

Chicago Manual of Style (16th Edition):

Hess, Robin W. “Toward computer vision for understanding American football in video.” 2012. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/30348.

MLA Handbook (7th Edition):

Hess, Robin W. “Toward computer vision for understanding American football in video.” 2012. Web. 19 Apr 2019.

Vancouver:

Hess RW. Toward computer vision for understanding American football in video. [Internet] [Doctoral dissertation]. Oregon State University; 2012. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/30348.

Council of Science Editors:

Hess RW. Toward computer vision for understanding American football in video. [Doctoral Dissertation]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/30348

22. Pinto, Jervis. Incorporating and Learning Behavior Constraints for Sequential Decision Making.

Degree: PhD, Computer Science, 2015, Oregon State University

 Writing a program that performs well in a complex environment is a challenging task. In such problems, a method of deterministic programming combined with reinforcement… (more)

Subjects/Keywords: online sequential decision making; Reinforcement learning

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APA (6th Edition):

Pinto, J. (2015). Incorporating and Learning Behavior Constraints for Sequential Decision Making. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/56129

Chicago Manual of Style (16th Edition):

Pinto, Jervis. “Incorporating and Learning Behavior Constraints for Sequential Decision Making.” 2015. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/56129.

MLA Handbook (7th Edition):

Pinto, Jervis. “Incorporating and Learning Behavior Constraints for Sequential Decision Making.” 2015. Web. 19 Apr 2019.

Vancouver:

Pinto J. Incorporating and Learning Behavior Constraints for Sequential Decision Making. [Internet] [Doctoral dissertation]. Oregon State University; 2015. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/56129.

Council of Science Editors:

Pinto J. Incorporating and Learning Behavior Constraints for Sequential Decision Making. [Doctoral Dissertation]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/56129

23. Meier, Richard John. Toward Automated Decision-Making in Power Systems Wide-Area Protection.

Degree: MS, Electrical and Computer Engineering, 2015, Oregon State University

 In recent years there have been many improvements in the reliability of critical infrastructure systems. Despite these improvements and despite targeted efforts to improve the… (more)

Subjects/Keywords: Power Systems Protection; Electric power distribution

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APA (6th Edition):

Meier, R. J. (2015). Toward Automated Decision-Making in Power Systems Wide-Area Protection. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/56382

Chicago Manual of Style (16th Edition):

Meier, Richard John. “Toward Automated Decision-Making in Power Systems Wide-Area Protection.” 2015. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/56382.

MLA Handbook (7th Edition):

Meier, Richard John. “Toward Automated Decision-Making in Power Systems Wide-Area Protection.” 2015. Web. 19 Apr 2019.

Vancouver:

Meier RJ. Toward Automated Decision-Making in Power Systems Wide-Area Protection. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/56382.

Council of Science Editors:

Meier RJ. Toward Automated Decision-Making in Power Systems Wide-Area Protection. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/56382

24. Yu, Jun. Machine learning for improving the quality of citizen science data.

Degree: PhD, Computer Science, 2013, Oregon State University

 Citizen Science is a paradigm in which volunteers from the general public participate in scientific studies, often by performing data collection. This paradigm is especially… (more)

Subjects/Keywords: Citizen Science; Machine learning

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APA (6th Edition):

Yu, J. (2013). Machine learning for improving the quality of citizen science data. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/44735

Chicago Manual of Style (16th Edition):

Yu, Jun. “Machine learning for improving the quality of citizen science data.” 2013. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/44735.

MLA Handbook (7th Edition):

Yu, Jun. “Machine learning for improving the quality of citizen science data.” 2013. Web. 19 Apr 2019.

Vancouver:

Yu J. Machine learning for improving the quality of citizen science data. [Internet] [Doctoral dissertation]. Oregon State University; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/44735.

Council of Science Editors:

Yu J. Machine learning for improving the quality of citizen science data. [Doctoral Dissertation]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/44735

25. Guan, Xinze. Weakly Supervised Learning for Activity Recognition from Time Series Data.

Degree: PhD, 2017, Oregon State University

 The thesis focuses on activity recognition from sensor data, which has spurred a great deal of interest due to its impact on health care and… (more)

Subjects/Keywords: Weakly Supervised Learning

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APA (6th Edition):

Guan, X. (2017). Weakly Supervised Learning for Activity Recognition from Time Series Data. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/61530

Chicago Manual of Style (16th Edition):

Guan, Xinze. “Weakly Supervised Learning for Activity Recognition from Time Series Data.” 2017. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/61530.

MLA Handbook (7th Edition):

Guan, Xinze. “Weakly Supervised Learning for Activity Recognition from Time Series Data.” 2017. Web. 19 Apr 2019.

Vancouver:

Guan X. Weakly Supervised Learning for Activity Recognition from Time Series Data. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/61530.

Council of Science Editors:

Guan X. Weakly Supervised Learning for Activity Recognition from Time Series Data. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61530

26. Xu, Yuehua. Learning ranking functions for efficient search.

Degree: PhD, Computer Science, 2010, Oregon State University

 This dissertation explores algorithms for learning ranking functions to efficiently solve search problems, with application to automated planning. Specifically, we consider the frameworks of beam… (more)

Subjects/Keywords: machine learning; Machine learning

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Xu, Y. (2010). Learning ranking functions for efficient search. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/17553

Chicago Manual of Style (16th Edition):

Xu, Yuehua. “Learning ranking functions for efficient search.” 2010. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/17553.

MLA Handbook (7th Edition):

Xu, Yuehua. “Learning ranking functions for efficient search.” 2010. Web. 19 Apr 2019.

Vancouver:

Xu Y. Learning ranking functions for efficient search. [Internet] [Doctoral dissertation]. Oregon State University; 2010. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/17553.

Council of Science Editors:

Xu Y. Learning ranking functions for efficient search. [Doctoral Dissertation]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/17553

27. Judah, Kshitij. New learning modes for sequential decision making.

Degree: PhD, Computer Science, 2014, Oregon State University

 This thesis considers the problem in which a teacher is interested in teaching action policies to computer agents for sequential decision making. The vast majority… (more)

Subjects/Keywords: Sequential Decision Making; Machine learning

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APA (6th Edition):

Judah, K. (2014). New learning modes for sequential decision making. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/47464

Chicago Manual of Style (16th Edition):

Judah, Kshitij. “New learning modes for sequential decision making.” 2014. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/47464.

MLA Handbook (7th Edition):

Judah, Kshitij. “New learning modes for sequential decision making.” 2014. Web. 19 Apr 2019.

Vancouver:

Judah K. New learning modes for sequential decision making. [Internet] [Doctoral dissertation]. Oregon State University; 2014. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/47464.

Council of Science Editors:

Judah K. New learning modes for sequential decision making. [Doctoral Dissertation]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/47464

28. King, Brian D. (Brian David). Adversarial planning by strategy switching in a real-time strategy game.

Degree: MS, Electrical and Computer Engineering, 2012, Oregon State University

 We consider the problem of strategic adversarial planning in a Real-Time Strategy (RTS) game. Strategic adversarial planning is the generation of a network of high-level… (more)

Subjects/Keywords: Adversarial Planning; Computer war games  – Computer programs

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APA (6th Edition):

King, B. D. (. D. (2012). Adversarial planning by strategy switching in a real-time strategy game. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/30344

Chicago Manual of Style (16th Edition):

King, Brian D (Brian David). “Adversarial planning by strategy switching in a real-time strategy game.” 2012. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/30344.

MLA Handbook (7th Edition):

King, Brian D (Brian David). “Adversarial planning by strategy switching in a real-time strategy game.” 2012. Web. 19 Apr 2019.

Vancouver:

King BD(D. Adversarial planning by strategy switching in a real-time strategy game. [Internet] [Masters thesis]. Oregon State University; 2012. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/30344.

Council of Science Editors:

King BD(D. Adversarial planning by strategy switching in a real-time strategy game. [Masters Thesis]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/30344

29. Dereszynski, Ethan W. Probabilistic models for quality control in environmental sensor networks.

Degree: PhD, Computer Science, 2012, Oregon State University

 Networks of distributed, remote sensors are providing ecological scientists with a view of our environment that is unprecedented in detail. However, these networks are subject… (more)

Subjects/Keywords: Bayesian Networks; Sensor networks  – Quality control

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APA (6th Edition):

Dereszynski, E. W. (2012). Probabilistic models for quality control in environmental sensor networks. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/30896

Chicago Manual of Style (16th Edition):

Dereszynski, Ethan W. “Probabilistic models for quality control in environmental sensor networks.” 2012. Doctoral Dissertation, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/30896.

MLA Handbook (7th Edition):

Dereszynski, Ethan W. “Probabilistic models for quality control in environmental sensor networks.” 2012. Web. 19 Apr 2019.

Vancouver:

Dereszynski EW. Probabilistic models for quality control in environmental sensor networks. [Internet] [Doctoral dissertation]. Oregon State University; 2012. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/30896.

Council of Science Editors:

Dereszynski EW. Probabilistic models for quality control in environmental sensor networks. [Doctoral Dissertation]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/30896


Oregon State University

30. Donneau-Golencer, Thierry D. Planning in multi-agent partially observable domains using sparse sampling.

Degree: MS, Electrical and Computer Engineering., 2005, Oregon State University

 A large number of sequential decision-making problems in uncertain environments can be modeled as Markov Decision Processes (MDPs). In such settings, an agent can observe… (more)

Subjects/Keywords: Artificial intelligence; Artificial intelligence  – Mathematical models

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APA (6th Edition):

Donneau-Golencer, T. D. (2005). Planning in multi-agent partially observable domains using sparse sampling. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/511

Chicago Manual of Style (16th Edition):

Donneau-Golencer, Thierry D. “Planning in multi-agent partially observable domains using sparse sampling.” 2005. Masters Thesis, Oregon State University. Accessed April 19, 2019. http://hdl.handle.net/1957/511.

MLA Handbook (7th Edition):

Donneau-Golencer, Thierry D. “Planning in multi-agent partially observable domains using sparse sampling.” 2005. Web. 19 Apr 2019.

Vancouver:

Donneau-Golencer TD. Planning in multi-agent partially observable domains using sparse sampling. [Internet] [Masters thesis]. Oregon State University; 2005. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1957/511.

Council of Science Editors:

Donneau-Golencer TD. Planning in multi-agent partially observable domains using sparse sampling. [Masters Thesis]. Oregon State University; 2005. Available from: http://hdl.handle.net/1957/511

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