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You searched for +publisher:"University of Southern California" +contributor:("Schaal, Stefan"). Showing records 1 – 30 of 45 total matches.

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University of Southern California

1. de Menezes Pereira, Arvind Antonio. Risk-aware path planning for autonomous underwater vehicles.

Degree: PhD, Computer Science, 2013, University of Southern California

 Path planning is the process of generating an optimal sequence of waypoints from a start configuration to a desired goal configuration under constraints (e.g., avoiding… (more)

Subjects/Keywords: artificial intelligence; path planning; autonomous underwater vehicles; gliders

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APA (6th Edition):

de Menezes Pereira, A. A. (2013). Risk-aware path planning for autonomous underwater vehicles. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351180/rec/5596

Chicago Manual of Style (16th Edition):

de Menezes Pereira, Arvind Antonio. “Risk-aware path planning for autonomous underwater vehicles.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351180/rec/5596.

MLA Handbook (7th Edition):

de Menezes Pereira, Arvind Antonio. “Risk-aware path planning for autonomous underwater vehicles.” 2013. Web. 18 Oct 2019.

Vancouver:

de Menezes Pereira AA. Risk-aware path planning for autonomous underwater vehicles. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351180/rec/5596.

Council of Science Editors:

de Menezes Pereira AA. Risk-aware path planning for autonomous underwater vehicles. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351180/rec/5596


University of Southern California

2. Gangwal, Vipresh. Pose estimation for in-hand objects.

Degree: MS, Electrical Engineering, 2011, University of Southern California

 Estimation of 6D pose of a known object in robot hand is traditionally done by using vision or range sensing. Such methods perform badly in… (more)

Subjects/Keywords: robotics; computer science; in-hand object; pose estimation; force torque sensors; iterative closest point; inertial parameters

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APA (6th Edition):

Gangwal, V. (2011). Pose estimation for in-hand objects. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/672017/rec/5129

Chicago Manual of Style (16th Edition):

Gangwal, Vipresh. “Pose estimation for in-hand objects.” 2011. Masters Thesis, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/672017/rec/5129.

MLA Handbook (7th Edition):

Gangwal, Vipresh. “Pose estimation for in-hand objects.” 2011. Web. 18 Oct 2019.

Vancouver:

Gangwal V. Pose estimation for in-hand objects. [Internet] [Masters thesis]. University of Southern California; 2011. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/672017/rec/5129.

Council of Science Editors:

Gangwal V. Pose estimation for in-hand objects. [Masters Thesis]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/672017/rec/5129


University of Southern California

3. Ramachandran, Gokul. A biologically inspired role-based team strategy for pursuit-evasion in robots.

Degree: MS, Computer Science (Robotics and Automation), 2011, University of Southern California

 This thesis presents a robust, scalable and general Java applet-based simulator for pursuit-evasion problems. With this tool, experiments can be conducted by simulating multi-player pursuit-evasion… (more)

Subjects/Keywords: chasing; rvasion; pursuit; robotics; simulator; team; pursuit evasion; pursuit-evasion; team strategy; agents; agent based; agent-based; Java; iRobot Create; JavaCV; Bluetooth; firewire camera

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APA (6th Edition):

Ramachandran, G. (2011). A biologically inspired role-based team strategy for pursuit-evasion in robots. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653087/rec/53

Chicago Manual of Style (16th Edition):

Ramachandran, Gokul. “A biologically inspired role-based team strategy for pursuit-evasion in robots.” 2011. Masters Thesis, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653087/rec/53.

MLA Handbook (7th Edition):

Ramachandran, Gokul. “A biologically inspired role-based team strategy for pursuit-evasion in robots.” 2011. Web. 18 Oct 2019.

Vancouver:

Ramachandran G. A biologically inspired role-based team strategy for pursuit-evasion in robots. [Internet] [Masters thesis]. University of Southern California; 2011. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653087/rec/53.

Council of Science Editors:

Ramachandran G. A biologically inspired role-based team strategy for pursuit-evasion in robots. [Masters Thesis]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653087/rec/53


University of Southern California

4. Binney, Jonathan Douglas. Informative path planning for environmental monitoring.

Degree: PhD, Computer Science, 2012, University of Southern California

 Mobile aquatic, aerial, and terrestrial robots open up rich opportunities for environmental monitoring. Sensors mounted on a robot can be moved to take measurements in… (more)

Subjects/Keywords: robotics; path planning; environmental monitoring

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APA (6th Edition):

Binney, J. D. (2012). Informative path planning for environmental monitoring. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/104369/rec/3490

Chicago Manual of Style (16th Edition):

Binney, Jonathan Douglas. “Informative path planning for environmental monitoring.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/104369/rec/3490.

MLA Handbook (7th Edition):

Binney, Jonathan Douglas. “Informative path planning for environmental monitoring.” 2012. Web. 18 Oct 2019.

Vancouver:

Binney JD. Informative path planning for environmental monitoring. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/104369/rec/3490.

Council of Science Editors:

Binney JD. Informative path planning for environmental monitoring. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/104369/rec/3490


University of Southern California

5. Carneiro, Oziel de Oliveira. Minimum jerk model for control and coarticulation of arm movements with multiple via-points.

Degree: MS, Computer Science, 2015, University of Southern California

 This thesis proposes a kinematic model designed to simulate arm movements with one or multiple via-points, in order to achieve continuous trajectories with one or… (more)

Subjects/Keywords: minimum jerk; coarticulation; model; arm control; brain

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APA (6th Edition):

Carneiro, O. d. O. (2015). Minimum jerk model for control and coarticulation of arm movements with multiple via-points. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/530120/rec/4084

Chicago Manual of Style (16th Edition):

Carneiro, Oziel de Oliveira. “Minimum jerk model for control and coarticulation of arm movements with multiple via-points.” 2015. Masters Thesis, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/530120/rec/4084.

MLA Handbook (7th Edition):

Carneiro, Oziel de Oliveira. “Minimum jerk model for control and coarticulation of arm movements with multiple via-points.” 2015. Web. 18 Oct 2019.

Vancouver:

Carneiro OdO. Minimum jerk model for control and coarticulation of arm movements with multiple via-points. [Internet] [Masters thesis]. University of Southern California; 2015. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/530120/rec/4084.

Council of Science Editors:

Carneiro OdO. Minimum jerk model for control and coarticulation of arm movements with multiple via-points. [Masters Thesis]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/530120/rec/4084


University of Southern California

6. Das, Jnaneshwar. Data-driven robotic sampling for marine ecosystem monitoring.

Degree: PhD, Computer Science, 2014, University of Southern California

 The marine environment is in a perpetual state of flux due to ocean currents. As a result, phenomena such as plankton blooms are constantly advected,… (more)

Subjects/Keywords: robotics; robotic sampling; field robotics; marine robotics; underwater robots; autonomous underwater vehicles; AUVs; machine learning; software systems; adaptive sampling; experiment design; environmental monitoring

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APA (6th Edition):

Das, J. (2014). Data-driven robotic sampling for marine ecosystem monitoring. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/409762/rec/1775

Chicago Manual of Style (16th Edition):

Das, Jnaneshwar. “Data-driven robotic sampling for marine ecosystem monitoring.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/409762/rec/1775.

MLA Handbook (7th Edition):

Das, Jnaneshwar. “Data-driven robotic sampling for marine ecosystem monitoring.” 2014. Web. 18 Oct 2019.

Vancouver:

Das J. Data-driven robotic sampling for marine ecosystem monitoring. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/409762/rec/1775.

Council of Science Editors:

Das J. Data-driven robotic sampling for marine ecosystem monitoring. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/409762/rec/1775


University of Southern California

7. Kalakrishnan, Mrinal. Learning objective functions for autonomous motion generation.

Degree: PhD, Computer Science, 2014, University of Southern California

 Planning and optimization methods have been widely applied to the problem of trajectory generation for autonomous robotics. The performance of such methods, however, is critically… (more)

Subjects/Keywords: robotics; machine learning; motion planning; trajectory optimization; inverse reinforcement learning; reinforcement learning; locomotion; manipulation

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APA (6th Edition):

Kalakrishnan, M. (2014). Learning objective functions for autonomous motion generation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/369146/rec/3781

Chicago Manual of Style (16th Edition):

Kalakrishnan, Mrinal. “Learning objective functions for autonomous motion generation.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/369146/rec/3781.

MLA Handbook (7th Edition):

Kalakrishnan, Mrinal. “Learning objective functions for autonomous motion generation.” 2014. Web. 18 Oct 2019.

Vancouver:

Kalakrishnan M. Learning objective functions for autonomous motion generation. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/369146/rec/3781.

Council of Science Editors:

Kalakrishnan M. Learning objective functions for autonomous motion generation. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/369146/rec/3781


University of Southern California

8. Rozgić, Viktor. Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 In this dissertation we propose contributions that address the problems in behavioral signal processing for small-group interactions from three important perspectives. We propose algorithmic contributions… (more)

Subjects/Keywords: statistical inference; multi-modal signal processing; behavioral signal processing

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APA (6th Edition):

Rozgić, V. (2011). Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6042

Chicago Manual of Style (16th Edition):

Rozgić, Viktor. “Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6042.

MLA Handbook (7th Edition):

Rozgić, Viktor. “Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions.” 2011. Web. 18 Oct 2019.

Vancouver:

Rozgić V. Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6042.

Council of Science Editors:

Rozgić V. Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6042


University of Southern California

9. Pastor, Peter. Data-driven autonomous manipulation.

Degree: PhD, Computer Science, 2014, University of Southern California

 The problem of an aging society is real and will affect everyone. There will be too few young people that can ensure adequate living conditions… (more)

Subjects/Keywords: data‐driven; autonomous; robotic manipulation; movement primitives; motor primitives; associative memory; associative skill memories

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APA (6th Edition):

Pastor, P. (2014). Data-driven autonomous manipulation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/406876/rec/1770

Chicago Manual of Style (16th Edition):

Pastor, Peter. “Data-driven autonomous manipulation.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/406876/rec/1770.

MLA Handbook (7th Edition):

Pastor, Peter. “Data-driven autonomous manipulation.” 2014. Web. 18 Oct 2019.

Vancouver:

Pastor P. Data-driven autonomous manipulation. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/406876/rec/1770.

Council of Science Editors:

Pastor P. Data-driven autonomous manipulation. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/406876/rec/1770


University of Southern California

10. Choi, Younggeun. Design of adaptive automated robotic task presentation system for stroke rehabilitation.

Degree: PhD, Computer Science, 2010, University of Southern California

 Robotic technology has the potential to deliver therapy activities for rehabilitation of arm and hand function after stroke more efficiently and effectively than conventional rehabilitation,… (more)

Subjects/Keywords: haptics; machine learning; motor learning; rehabilitation; robotics; stroke

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APA (6th Edition):

Choi, Y. (2010). Design of adaptive automated robotic task presentation system for stroke rehabilitation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/337922/rec/1864

Chicago Manual of Style (16th Edition):

Choi, Younggeun. “Design of adaptive automated robotic task presentation system for stroke rehabilitation.” 2010. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/337922/rec/1864.

MLA Handbook (7th Edition):

Choi, Younggeun. “Design of adaptive automated robotic task presentation system for stroke rehabilitation.” 2010. Web. 18 Oct 2019.

Vancouver:

Choi Y. Design of adaptive automated robotic task presentation system for stroke rehabilitation. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/337922/rec/1864.

Council of Science Editors:

Choi Y. Design of adaptive automated robotic task presentation system for stroke rehabilitation. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/337922/rec/1864


University of Southern California

11. Mishra, Pankaj. Biologically inspired overcomplete representation, feature extraction and object classification.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 A key to solving the multiclass object recognition problem is to extract a set of features which accurately and uniquely capture the salient characteristics of… (more)

Subjects/Keywords: biologically-inspired hierarchical model; fusion of classifiers; object recognition; HMAX; gist features

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APA (6th Edition):

Mishra, P. (2011). Biologically inspired overcomplete representation, feature extraction and object classification. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/615506/rec/1121

Chicago Manual of Style (16th Edition):

Mishra, Pankaj. “Biologically inspired overcomplete representation, feature extraction and object classification.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/615506/rec/1121.

MLA Handbook (7th Edition):

Mishra, Pankaj. “Biologically inspired overcomplete representation, feature extraction and object classification.” 2011. Web. 18 Oct 2019.

Vancouver:

Mishra P. Biologically inspired overcomplete representation, feature extraction and object classification. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/615506/rec/1121.

Council of Science Editors:

Mishra P. Biologically inspired overcomplete representation, feature extraction and object classification. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/615506/rec/1121


University of Southern California

12. Johnson, Daniel M. The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension.

Degree: MS, Computer Science, 2009, University of Southern California

 While classical orthogonal function systems (COFS) are very successful at approximating static functions, there are several problems with using them in multi-stage estimation. These problems… (more)

Subjects/Keywords: nonlinear estimation; nonlinear filtering; wavelets

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APA (6th Edition):

Johnson, D. M. (2009). The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/172277/rec/7398

Chicago Manual of Style (16th Edition):

Johnson, Daniel M. “The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension.” 2009. Masters Thesis, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/172277/rec/7398.

MLA Handbook (7th Edition):

Johnson, Daniel M. “The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension.” 2009. Web. 18 Oct 2019.

Vancouver:

Johnson DM. The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension. [Internet] [Masters thesis]. University of Southern California; 2009. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/172277/rec/7398.

Council of Science Editors:

Johnson DM. The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension. [Masters Thesis]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/172277/rec/7398


University of Southern California

13. Hidaka, Yukikazu. Computational model of stroke therapy and long term recovery.

Degree: PhD, Computer Science, 2013, University of Southern California

 Understanding the effects of task practice on the long term recovery of arm function post-stroke could allow effective motor training at a reduced cost. There… (more)

Subjects/Keywords: Bayesian regression; computational model; graph structure learning; machine learning; stroke rehabilitation; task specific training

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APA (6th Edition):

Hidaka, Y. (2013). Computational model of stroke therapy and long term recovery. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322852/rec/1546

Chicago Manual of Style (16th Edition):

Hidaka, Yukikazu. “Computational model of stroke therapy and long term recovery.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322852/rec/1546.

MLA Handbook (7th Edition):

Hidaka, Yukikazu. “Computational model of stroke therapy and long term recovery.” 2013. Web. 18 Oct 2019.

Vancouver:

Hidaka Y. Computational model of stroke therapy and long term recovery. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322852/rec/1546.

Council of Science Editors:

Hidaka Y. Computational model of stroke therapy and long term recovery. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322852/rec/1546


University of Southern California

14. Reinebold, James L., III. Evaluating mobile phones as opportunistic on-body sensors.

Degree: MS, Computer Science, 2011, University of Southern California

 Mobile phones are an inexpensive sensing solution that can provide insight into the personal environment of the person using the device. However, the challenge for… (more)

Subjects/Keywords: mobile phones; opportunistic sensing; movement detection; friend detection; on-body sensors

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APA (6th Edition):

Reinebold, James L., I. (2011). Evaluating mobile phones as opportunistic on-body sensors. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/668898/rec/2522

Chicago Manual of Style (16th Edition):

Reinebold, James L., III. “Evaluating mobile phones as opportunistic on-body sensors.” 2011. Masters Thesis, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/668898/rec/2522.

MLA Handbook (7th Edition):

Reinebold, James L., III. “Evaluating mobile phones as opportunistic on-body sensors.” 2011. Web. 18 Oct 2019.

Vancouver:

Reinebold, James L. I. Evaluating mobile phones as opportunistic on-body sensors. [Internet] [Masters thesis]. University of Southern California; 2011. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/668898/rec/2522.

Council of Science Editors:

Reinebold, James L. I. Evaluating mobile phones as opportunistic on-body sensors. [Masters Thesis]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/668898/rec/2522


University of Southern California

15. Inouye, Joshua M. Bio-inspired tendon-driven systems: computational analysis, optimization, and hardware implementation.

Degree: PhD, Biomedical Engineering, 2012, University of Southern California

 This thesis work focuses on the design and optimization of tendon-driven systems. One of the chief reasons these systems can be termed “bio-inspired” is due… (more)

Subjects/Keywords: robotics; robotic hands; mechanical engineering; prosthetic hands; tendon-driven systems; biomechanics; stiffness control; biomedical engineering; grasping; design optimization; mechanical design; robotic finger design; multi-fingered hands

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APA (6th Edition):

Inouye, J. M. (2012). Bio-inspired tendon-driven systems: computational analysis, optimization, and hardware implementation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/5708/rec/1104

Chicago Manual of Style (16th Edition):

Inouye, Joshua M. “Bio-inspired tendon-driven systems: computational analysis, optimization, and hardware implementation.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/5708/rec/1104.

MLA Handbook (7th Edition):

Inouye, Joshua M. “Bio-inspired tendon-driven systems: computational analysis, optimization, and hardware implementation.” 2012. Web. 18 Oct 2019.

Vancouver:

Inouye JM. Bio-inspired tendon-driven systems: computational analysis, optimization, and hardware implementation. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/5708/rec/1104.

Council of Science Editors:

Inouye JM. Bio-inspired tendon-driven systems: computational analysis, optimization, and hardware implementation. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/5708/rec/1104


University of Southern California

16. Oh, Youngmin. Computational principles in human motor adaptation: sources, memories, and variability.

Degree: PhD, Neuroscience, 2015, University of Southern California

 In this dissertation study, I conducted behavioral experiment and applied computational theories to understand human motor adaptation. Motor adaptation is one kind of motor learning… (more)

Subjects/Keywords: motor adaptation; supervised learning; reinforcement learning; Kalman filter; mixture of experts; optimal feedback control

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APA (6th Edition):

Oh, Y. (2015). Computational principles in human motor adaptation: sources, memories, and variability. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/591951/rec/1550

Chicago Manual of Style (16th Edition):

Oh, Youngmin. “Computational principles in human motor adaptation: sources, memories, and variability.” 2015. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/591951/rec/1550.

MLA Handbook (7th Edition):

Oh, Youngmin. “Computational principles in human motor adaptation: sources, memories, and variability.” 2015. Web. 18 Oct 2019.

Vancouver:

Oh Y. Computational principles in human motor adaptation: sources, memories, and variability. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/591951/rec/1550.

Council of Science Editors:

Oh Y. Computational principles in human motor adaptation: sources, memories, and variability. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/591951/rec/1550


University of Southern California

17. Wettels, Nicholas B. Biomimetic tactile sensor for object identification and grasp control.

Degree: PhD, Biomedical Engineering, 2011, University of Southern California

 PROBLEM STATEMENT. One of the severe performance limitations of robotic and prosthetic hands in unstructured environments is their having little or no tactile information compared… (more)

Subjects/Keywords: dexterous manipulation; feature extraction; force sensing; grasping; haptics; tactile sensing

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APA (6th Edition):

Wettels, N. B. (2011). Biomimetic tactile sensor for object identification and grasp control. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/475941/rec/1126

Chicago Manual of Style (16th Edition):

Wettels, Nicholas B. “Biomimetic tactile sensor for object identification and grasp control.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/475941/rec/1126.

MLA Handbook (7th Edition):

Wettels, Nicholas B. “Biomimetic tactile sensor for object identification and grasp control.” 2011. Web. 18 Oct 2019.

Vancouver:

Wettels NB. Biomimetic tactile sensor for object identification and grasp control. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/475941/rec/1126.

Council of Science Editors:

Wettels NB. Biomimetic tactile sensor for object identification and grasp control. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/475941/rec/1126


University of Southern California

18. Gupta, Megha. Intelligent robotic manipulation of cluttered environments.

Degree: PhD, Computer Science, 2014, University of Southern California

 Robotic household assistants of the future will need to understand their environment in real-time with high accuracy. There are two problems that make this challenging… (more)

Subjects/Keywords: robotic manipulation; planning algorithms; personal robots; sensor-based manipulation

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APA (6th Edition):

Gupta, M. (2014). Intelligent robotic manipulation of cluttered environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/521349/rec/3557

Chicago Manual of Style (16th Edition):

Gupta, Megha. “Intelligent robotic manipulation of cluttered environments.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/521349/rec/3557.

MLA Handbook (7th Edition):

Gupta, Megha. “Intelligent robotic manipulation of cluttered environments.” 2014. Web. 18 Oct 2019.

Vancouver:

Gupta M. Intelligent robotic manipulation of cluttered environments. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/521349/rec/3557.

Council of Science Editors:

Gupta M. Intelligent robotic manipulation of cluttered environments. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/521349/rec/3557


University of Southern California

19. Nash, Alex. Any-angle path planning.

Degree: PhD, Computer Science, 2012, University of Southern California

 Navigating an agent from a given start coordinate to a given goal coordinate through a continuous environment is one of the most important problems faced… (more)

Subjects/Keywords: path planning; any-angle; robotics; heuristic search; artificial intelligence; video games

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APA (6th Edition):

Nash, A. (2012). Any-angle path planning. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/83772/rec/847

Chicago Manual of Style (16th Edition):

Nash, Alex. “Any-angle path planning.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/83772/rec/847.

MLA Handbook (7th Edition):

Nash, Alex. “Any-angle path planning.” 2012. Web. 18 Oct 2019.

Vancouver:

Nash A. Any-angle path planning. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/83772/rec/847.

Council of Science Editors:

Nash A. Any-angle path planning. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/83772/rec/847


University of Southern California

20. Viswanathan, Manu. Mobile robot obstacle avoidance using a computational model of the locust brain.

Degree: MS, Computer Science (Robotics & Automation), 2011, University of Southern California

 The Lobula Giant Movement Detector (LGMD), a visual interneuron in the locust's brain, responds preferentially to objects approaching along collisional trajectories. The goal of the… (more)

Subjects/Keywords: mobile robotics; insect vision; collision detection; time-to-impact; obstacle avoidance; locust LGMD; probabilistic sensor model; Bayesian state estimation

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APA (6th Edition):

Viswanathan, M. (2011). Mobile robot obstacle avoidance using a computational model of the locust brain. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/433779/rec/4101

Chicago Manual of Style (16th Edition):

Viswanathan, Manu. “Mobile robot obstacle avoidance using a computational model of the locust brain.” 2011. Masters Thesis, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/433779/rec/4101.

MLA Handbook (7th Edition):

Viswanathan, Manu. “Mobile robot obstacle avoidance using a computational model of the locust brain.” 2011. Web. 18 Oct 2019.

Vancouver:

Viswanathan M. Mobile robot obstacle avoidance using a computational model of the locust brain. [Internet] [Masters thesis]. University of Southern California; 2011. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/433779/rec/4101.

Council of Science Editors:

Viswanathan M. Mobile robot obstacle avoidance using a computational model of the locust brain. [Masters Thesis]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/433779/rec/4101


University of Southern California

21. Zhao, Yili. Plant substructuring and real-time simulation using model reduction.

Degree: PhD, Computer Science, 2014, University of Southern California

 This research is focusing on real‐time, physically‐based simulation of plants undergoing large deformations. To achieve this goal, we first propose a novel algorithm based on… (more)

Subjects/Keywords: model reduction; substructuring; domain decomposition; FEM; nonlinear elasticity; botanical; plant; authoring; interactive; large deformations; computer graphics; computer animation; physically‐based simulation

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APA (6th Edition):

Zhao, Y. (2014). Plant substructuring and real-time simulation using model reduction. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/462785/rec/5070

Chicago Manual of Style (16th Edition):

Zhao, Yili. “Plant substructuring and real-time simulation using model reduction.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/462785/rec/5070.

MLA Handbook (7th Edition):

Zhao, Yili. “Plant substructuring and real-time simulation using model reduction.” 2014. Web. 18 Oct 2019.

Vancouver:

Zhao Y. Plant substructuring and real-time simulation using model reduction. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/462785/rec/5070.

Council of Science Editors:

Zhao Y. Plant substructuring and real-time simulation using model reduction. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/462785/rec/5070


University of Southern California

22. Theodorou, Evangelos A. Iterative path integral stochastic optimal control: theory and applications to motor control.

Degree: PhD, Computer Science, 2011, University of Southern California

 Motivated by the limitations of current optimal control and reinforcement learning methods in terms of their efficiency and scalability, this thesis proposes an iterative stochastic… (more)

Subjects/Keywords: stochastic optimal control; reinforcement learning,; robotics

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APA (6th Edition):

Theodorou, E. A. (2011). Iterative path integral stochastic optimal control: theory and applications to motor control. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/468575/rec/3674

Chicago Manual of Style (16th Edition):

Theodorou, Evangelos A. “Iterative path integral stochastic optimal control: theory and applications to motor control.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/468575/rec/3674.

MLA Handbook (7th Edition):

Theodorou, Evangelos A. “Iterative path integral stochastic optimal control: theory and applications to motor control.” 2011. Web. 18 Oct 2019.

Vancouver:

Theodorou EA. Iterative path integral stochastic optimal control: theory and applications to motor control. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/468575/rec/3674.

Council of Science Editors:

Theodorou EA. Iterative path integral stochastic optimal control: theory and applications to motor control. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/468575/rec/3674


University of Southern California

23. Kelly, Jonathan Scott. On temporal and spatial calibration for high accuracy visual-inertial motion estimation.

Degree: PhD, Computer Science, 2011, University of Southern California

 The majority of future autonomous robots will be mobile, and will need to navigate reliably in unknown and dynamic environments. Visual and inertial sensors, together,… (more)

Subjects/Keywords: calibration; inertial navigation; simultaneous localization and mapping; SLAM; sensor fusion; monocular vision; observability

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APA (6th Edition):

Kelly, J. S. (2011). On temporal and spatial calibration for high accuracy visual-inertial motion estimation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/216508/rec/4528

Chicago Manual of Style (16th Edition):

Kelly, Jonathan Scott. “On temporal and spatial calibration for high accuracy visual-inertial motion estimation.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/216508/rec/4528.

MLA Handbook (7th Edition):

Kelly, Jonathan Scott. “On temporal and spatial calibration for high accuracy visual-inertial motion estimation.” 2011. Web. 18 Oct 2019.

Vancouver:

Kelly JS. On temporal and spatial calibration for high accuracy visual-inertial motion estimation. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/216508/rec/4528.

Council of Science Editors:

Kelly JS. On temporal and spatial calibration for high accuracy visual-inertial motion estimation. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/216508/rec/4528


University of Southern California

24. Zanos, Theodoros. Nonlinear modeling of causal interrelationships in neuronal ensembles: an application to the rat hippocampus.

Degree: PhD, Biomedical Engineering, 2009, University of Southern California

 The increasing availability of multiunit recordings gives new urgency to the need for effective analysis of "multidimensional" time-series data that are derived from the recorded… (more)

Subjects/Keywords: computational neuroscience; system identification; volterra; nonlinear; modeling; functional connectivity; point process; hippocampus; CA3; CA1

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APA (6th Edition):

Zanos, T. (2009). Nonlinear modeling of causal interrelationships in neuronal ensembles: an application to the rat hippocampus. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240402/rec/4444

Chicago Manual of Style (16th Edition):

Zanos, Theodoros. “Nonlinear modeling of causal interrelationships in neuronal ensembles: an application to the rat hippocampus.” 2009. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240402/rec/4444.

MLA Handbook (7th Edition):

Zanos, Theodoros. “Nonlinear modeling of causal interrelationships in neuronal ensembles: an application to the rat hippocampus.” 2009. Web. 18 Oct 2019.

Vancouver:

Zanos T. Nonlinear modeling of causal interrelationships in neuronal ensembles: an application to the rat hippocampus. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240402/rec/4444.

Council of Science Editors:

Zanos T. Nonlinear modeling of causal interrelationships in neuronal ensembles: an application to the rat hippocampus. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240402/rec/4444


University of Southern California

25. Han, Cheol. Modeling human reaching and grasping: cortex, rehabilitation and lateralization.

Degree: PhD, Computer Science, 2010, University of Southern California

 Reach-to-grasp action is a principal action in our daily lives; writing, eating, and using tools, first of all, start with a reach-to-grasp. Despite abundant experiments… (more)

Subjects/Keywords: individualization; motor control; motor cortex; neuronal coding; rehabilitation; stroke

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APA (6th Edition):

Han, C. (2010). Modeling human reaching and grasping: cortex, rehabilitation and lateralization. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/262248/rec/4129

Chicago Manual of Style (16th Edition):

Han, Cheol. “Modeling human reaching and grasping: cortex, rehabilitation and lateralization.” 2010. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/262248/rec/4129.

MLA Handbook (7th Edition):

Han, Cheol. “Modeling human reaching and grasping: cortex, rehabilitation and lateralization.” 2010. Web. 18 Oct 2019.

Vancouver:

Han C. Modeling human reaching and grasping: cortex, rehabilitation and lateralization. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/262248/rec/4129.

Council of Science Editors:

Han C. Modeling human reaching and grasping: cortex, rehabilitation and lateralization. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/262248/rec/4129


University of Southern California

26. Fishel, Jeremy A. Design and use of a biomimetic tactile microvibration sensor with human-like sensitivity and its application in texture discrimination using Bayesian exploration.

Degree: PhD, Biomedical Engineering, 2012, University of Southern California

 The cutaneous sensing of microvibrations in human fingertips plays a central role in the detection of slip-related and dynamic information critical for tool usage, reflexive… (more)

Subjects/Keywords: tactile sensing; tactile sensor; biomimetic; BioTac; microvibration; vibration; touch; Pacinian corpuscle; fluid-filled sensor; Bayesian exploration; texture discrimination; human performance; impact; robot; artificial texture discrimination; object identification; Bayesian inference; machine learning; classification

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APA (6th Edition):

Fishel, J. A. (2012). Design and use of a biomimetic tactile microvibration sensor with human-like sensitivity and its application in texture discrimination using Bayesian exploration. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/47124/rec/1863

Chicago Manual of Style (16th Edition):

Fishel, Jeremy A. “Design and use of a biomimetic tactile microvibration sensor with human-like sensitivity and its application in texture discrimination using Bayesian exploration.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/47124/rec/1863.

MLA Handbook (7th Edition):

Fishel, Jeremy A. “Design and use of a biomimetic tactile microvibration sensor with human-like sensitivity and its application in texture discrimination using Bayesian exploration.” 2012. Web. 18 Oct 2019.

Vancouver:

Fishel JA. Design and use of a biomimetic tactile microvibration sensor with human-like sensitivity and its application in texture discrimination using Bayesian exploration. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/47124/rec/1863.

Council of Science Editors:

Fishel JA. Design and use of a biomimetic tactile microvibration sensor with human-like sensitivity and its application in texture discrimination using Bayesian exploration. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/47124/rec/1863


University of Southern California

27. Ting, Jo-Anne Su Yin. Bayesian methods for autonomous learning systems.

Degree: PhD, Computer Science, 2009, University of Southern California

 We propose a set of Bayesian methods that help us toward the goal of autonomous learning systems. Systems that can react autonomously, with minimal human… (more)

Subjects/Keywords: autonomous learning systems; Bayesian statistics; function approximation; machine learning; real-time learning; regression

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APA (6th Edition):

Ting, J. S. Y. (2009). Bayesian methods for autonomous learning systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/151821/rec/1042

Chicago Manual of Style (16th Edition):

Ting, Jo-Anne Su Yin. “Bayesian methods for autonomous learning systems.” 2009. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/151821/rec/1042.

MLA Handbook (7th Edition):

Ting, Jo-Anne Su Yin. “Bayesian methods for autonomous learning systems.” 2009. Web. 18 Oct 2019.

Vancouver:

Ting JSY. Bayesian methods for autonomous learning systems. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/151821/rec/1042.

Council of Science Editors:

Ting JSY. Bayesian methods for autonomous learning systems. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/151821/rec/1042


University of Southern California

28. Mundhenk, Terrell Nathan. Computational modeling and utilization of attention, surprise and attention gating Page 1.

Degree: PhD, Computer Science, 2009, University of Southern California

 What draws in human attention and can we create computational models of it which work the same way? Here we explore this question with several… (more)

Subjects/Keywords: surprise; attention; computation; gating; vision; tracking; statistics; Bayes; saliency; contour; integration; Nerd-Cam; CINNIC; MAG; H2SV; information; visual cortex; biologically inspired; spot light; human performance; visual saliency; iLab; Neuromorphic Vision Toolkit; image processing; RSVP; attentional blink; masking; detection; Itti; Koch

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APA (6th Edition):

Mundhenk, T. N. (2009). Computational modeling and utilization of attention, surprise and attention gating Page 1. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/15526/rec/1547

Chicago Manual of Style (16th Edition):

Mundhenk, Terrell Nathan. “Computational modeling and utilization of attention, surprise and attention gating Page 1.” 2009. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/15526/rec/1547.

MLA Handbook (7th Edition):

Mundhenk, Terrell Nathan. “Computational modeling and utilization of attention, surprise and attention gating Page 1.” 2009. Web. 18 Oct 2019.

Vancouver:

Mundhenk TN. Computational modeling and utilization of attention, surprise and attention gating Page 1. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/15526/rec/1547.

Council of Science Editors:

Mundhenk TN. Computational modeling and utilization of attention, surprise and attention gating Page 1. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/15526/rec/1547


University of Southern California

29. Qi, Feng. Computational transcranial magnetic stimulation (TMS).

Degree: PhD, Neuroscience, 2010, University of Southern California

 Transcranial Magnetic Stimulation (TMS) is a noninvasive brain stimulation technique that is increasingly used in clinical neuroscience research. Since the invention of TMS in 1985,… (more)

Subjects/Keywords: transcranial magnetic stimulation; TMS; neuroscience; brain stimulation; motor cortex; machine learning; computation

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APA (6th Edition):

Qi, F. (2010). Computational transcranial magnetic stimulation (TMS). (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/332750/rec/1551

Chicago Manual of Style (16th Edition):

Qi, Feng. “Computational transcranial magnetic stimulation (TMS).” 2010. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/332750/rec/1551.

MLA Handbook (7th Edition):

Qi, Feng. “Computational transcranial magnetic stimulation (TMS).” 2010. Web. 18 Oct 2019.

Vancouver:

Qi F. Computational transcranial magnetic stimulation (TMS). [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/332750/rec/1551.

Council of Science Editors:

Qi F. Computational transcranial magnetic stimulation (TMS). [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/332750/rec/1551


University of Southern California

30. DeNeefe, Steve. Tree-adjoining machine translation.

Degree: PhD, Computer Science, 2011, University of Southern California

 Machine Translation (MT) is the task of translating a document from a source language (e.g., Chinese) into a target language (e.g., English) via computer. State-of-the-art… (more)

Subjects/Keywords: machine translation; statistical machine translation; tree-adjoining grammar; formal grammar; translation models; computational linguistics; syntax-based machine translation

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APA (6th Edition):

DeNeefe, S. (2011). Tree-adjoining machine translation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/667127/rec/7600

Chicago Manual of Style (16th Edition):

DeNeefe, Steve. “Tree-adjoining machine translation.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/667127/rec/7600.

MLA Handbook (7th Edition):

DeNeefe, Steve. “Tree-adjoining machine translation.” 2011. Web. 18 Oct 2019.

Vancouver:

DeNeefe S. Tree-adjoining machine translation. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/667127/rec/7600.

Council of Science Editors:

DeNeefe S. Tree-adjoining machine translation. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/667127/rec/7600

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