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You searched for +publisher:"University of Southern California" +contributor:("Ortega, Antonio"). Showing records 1 – 30 of 77 total matches.

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University of Southern California

1. Deutsch, Shay. Learning the geometric structure of high dimensional data using the Tensor Voting Graph.

Degree: PhD, Computer Science, 2017, University of Southern California

 This study addresses a range of fundamental problems in unsupervised manifold learning. Given a set of noisy points in a high dimensional space that lie… (more)

Subjects/Keywords: manifold learning; unsupervised denoising; Tensor Voting Graph

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APA (6th Edition):

Deutsch, S. (2017). Learning the geometric structure of high dimensional data using the Tensor Voting Graph. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/640839/rec/3787

Chicago Manual of Style (16th Edition):

Deutsch, Shay. “Learning the geometric structure of high dimensional data using the Tensor Voting Graph.” 2017. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/640839/rec/3787.

MLA Handbook (7th Edition):

Deutsch, Shay. “Learning the geometric structure of high dimensional data using the Tensor Voting Graph.” 2017. Web. 22 Oct 2019.

Vancouver:

Deutsch S. Learning the geometric structure of high dimensional data using the Tensor Voting Graph. [Internet] [Doctoral dissertation]. University of Southern California; 2017. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/640839/rec/3787.

Council of Science Editors:

Deutsch S. Learning the geometric structure of high dimensional data using the Tensor Voting Graph. [Doctoral Dissertation]. University of Southern California; 2017. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/640839/rec/3787


University of Southern California

2. Cheng, Da. Optimal redundancy design for CMOS and post‐CMOS technologies.

Degree: PhD, Electrical Engineering (VLSI Design), 2015, University of Southern California

 As CMOS fabrication technology continues to move deeper into nano‐scale, circuit’s susceptibility to manufacturing imperfections increases, and the improvements in yield, power, and delay provided… (more)

Subjects/Keywords: yield; chip multiprocessor; carbon nanotube; design for test; design for yield; defect density; binning

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APA (6th Edition):

Cheng, D. (2015). Optimal redundancy design for CMOS and post‐CMOS technologies. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/531660/rec/4601

Chicago Manual of Style (16th Edition):

Cheng, Da. “Optimal redundancy design for CMOS and post‐CMOS technologies.” 2015. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/531660/rec/4601.

MLA Handbook (7th Edition):

Cheng, Da. “Optimal redundancy design for CMOS and post‐CMOS technologies.” 2015. Web. 22 Oct 2019.

Vancouver:

Cheng D. Optimal redundancy design for CMOS and post‐CMOS technologies. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/531660/rec/4601.

Council of Science Editors:

Cheng D. Optimal redundancy design for CMOS and post‐CMOS technologies. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/531660/rec/4601


University of Southern California

3. Hao, Minshen. Aggregation and modeling using computational intelligence techniques.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 In waterflood management, there exists several models to describe a petroleum reservoir for predicting the future production rates using scheduled injection rates. Most of them… (more)

Subjects/Keywords: aggregation; computing with words; computational intelligence techniques; general type‐2 fuzzy sets; interval type‐2 fuzzy sets; similarity measure; uncertainty modeling; interval type‐2 word models

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APA (6th Edition):

Hao, M. (2014). Aggregation and modeling using computational intelligence techniques. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/413110/rec/585

Chicago Manual of Style (16th Edition):

Hao, Minshen. “Aggregation and modeling using computational intelligence techniques.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/413110/rec/585.

MLA Handbook (7th Edition):

Hao, Minshen. “Aggregation and modeling using computational intelligence techniques.” 2014. Web. 22 Oct 2019.

Vancouver:

Hao M. Aggregation and modeling using computational intelligence techniques. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/413110/rec/585.

Council of Science Editors:

Hao M. Aggregation and modeling using computational intelligence techniques. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/413110/rec/585


University of Southern California

4. Cho, Yoon-Sik. Modeling and predicting with spatial‐temporal social networks.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 Network data and user behavior data are becoming pervasive. In this thesis, we develop efficient machine learning methods for addressing various real‐world problems using these… (more)

Subjects/Keywords: clustering; location based social networks; mixed membership; point processes; spatial‐temporal; topic model

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APA (6th Edition):

Cho, Y. (2014). Modeling and predicting with spatial‐temporal social networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447544/rec/4118

Chicago Manual of Style (16th Edition):

Cho, Yoon-Sik. “Modeling and predicting with spatial‐temporal social networks.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447544/rec/4118.

MLA Handbook (7th Edition):

Cho, Yoon-Sik. “Modeling and predicting with spatial‐temporal social networks.” 2014. Web. 22 Oct 2019.

Vancouver:

Cho Y. Modeling and predicting with spatial‐temporal social networks. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447544/rec/4118.

Council of Science Editors:

Cho Y. Modeling and predicting with spatial‐temporal social networks. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447544/rec/4118


University of Southern California

5. Audhkhasi, Kartik. A computational framework for diversity in ensembles of humans and machine systems.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 My Ph.D. thesis presents a computational framework for diversity in ensembles or collections of humans and machine systems used for signal and information processing. Machine… (more)

Subjects/Keywords: signal processing; information processing; machine learning; ensemble methods; diversity

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APA (6th Edition):

Audhkhasi, K. (2014). A computational framework for diversity in ensembles of humans and machine systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144

Chicago Manual of Style (16th Edition):

Audhkhasi, Kartik. “A computational framework for diversity in ensembles of humans and machine systems.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144.

MLA Handbook (7th Edition):

Audhkhasi, Kartik. “A computational framework for diversity in ensembles of humans and machine systems.” 2014. Web. 22 Oct 2019.

Vancouver:

Audhkhasi K. A computational framework for diversity in ensembles of humans and machine systems. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144.

Council of Science Editors:

Audhkhasi K. A computational framework for diversity in ensembles of humans and machine systems. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144


University of Southern California

6. Ramanarayanan, Vikram. Toward understanding speech planning by observing its execution—representations, modeling and analysis.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 This thesis proposes a balanced framework toward understanding speech motor planning and control by observing aspects of its behavioral execution. To this end, it proposes… (more)

Subjects/Keywords: speech production; motor control; real‐time MRI; speech communication; matrix factorization; movement primitives; articulatory setting; production‐perception links; action‐perception systems

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APA (6th Edition):

Ramanarayanan, V. (2014). Toward understanding speech planning by observing its execution—representations, modeling and analysis. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/438767/rec/7518

Chicago Manual of Style (16th Edition):

Ramanarayanan, Vikram. “Toward understanding speech planning by observing its execution—representations, modeling and analysis.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/438767/rec/7518.

MLA Handbook (7th Edition):

Ramanarayanan, Vikram. “Toward understanding speech planning by observing its execution—representations, modeling and analysis.” 2014. Web. 22 Oct 2019.

Vancouver:

Ramanarayanan V. Toward understanding speech planning by observing its execution—representations, modeling and analysis. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/438767/rec/7518.

Council of Science Editors:

Ramanarayanan V. Toward understanding speech planning by observing its execution—representations, modeling and analysis. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/438767/rec/7518


University of Southern California

7. Kim, Joongheon. Elements of next-generation wireless video systems: millimeter-wave and device-to-device algorithms.

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

 This dissertation explores the possible issues and proposes promising solutions in next generation wireless video systems. ❧ For next generation wireless systems, one of the… (more)

Subjects/Keywords: millimeter-wave; device-to-device; 5G; wireless video systems

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APA (6th Edition):

Kim, J. (2014). Elements of next-generation wireless video systems: millimeter-wave and device-to-device algorithms. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/418628/rec/2285

Chicago Manual of Style (16th Edition):

Kim, Joongheon. “Elements of next-generation wireless video systems: millimeter-wave and device-to-device algorithms.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/418628/rec/2285.

MLA Handbook (7th Edition):

Kim, Joongheon. “Elements of next-generation wireless video systems: millimeter-wave and device-to-device algorithms.” 2014. Web. 22 Oct 2019.

Vancouver:

Kim J. Elements of next-generation wireless video systems: millimeter-wave and device-to-device algorithms. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/418628/rec/2285.

Council of Science Editors:

Kim J. Elements of next-generation wireless video systems: millimeter-wave and device-to-device algorithms. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/418628/rec/2285


University of Southern California

8. Safarian, Zahra. Energy aware integrated circuits for communication and biomedical applications.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 The thesis presents system level and block level integrated circuit solutions for low power wirelessly powered passive sensors, specifically biomedical implants and RFID systems. The… (more)

Subjects/Keywords: energy harvesting; passive transponder; rectifier; RF identification (RFID); CMOS; frequency conversion; frequency divider; nonlinear circuits; oscillators; subharmonic generation; biomedical application; event detection; low power; neural recording system

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APA (6th Edition):

Safarian, Z. (2014). Energy aware integrated circuits for communication and biomedical applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/412271/rec/2347

Chicago Manual of Style (16th Edition):

Safarian, Zahra. “Energy aware integrated circuits for communication and biomedical applications.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/412271/rec/2347.

MLA Handbook (7th Edition):

Safarian, Zahra. “Energy aware integrated circuits for communication and biomedical applications.” 2014. Web. 22 Oct 2019.

Vancouver:

Safarian Z. Energy aware integrated circuits for communication and biomedical applications. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/412271/rec/2347.

Council of Science Editors:

Safarian Z. Energy aware integrated circuits for communication and biomedical applications. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/412271/rec/2347


University of Southern California

9. Ashrafulla, Syed. Causality and consistency in electrophysiological signals.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 Model‐based approaches to electrophysiological signal processing provide low‐variance estimates of the activity and relationships within neurological systems. In this dissertation, we develop a method for… (more)

Subjects/Keywords: signal processing; correlation; causality; autoregression; conditional heteroscedasticity; brain; electroencephalography; magnetoencephalography; electrophysiology

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APA (6th Edition):

Ashrafulla, S. (2014). Causality and consistency in electrophysiological signals. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366875/rec/1256

Chicago Manual of Style (16th Edition):

Ashrafulla, Syed. “Causality and consistency in electrophysiological signals.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366875/rec/1256.

MLA Handbook (7th Edition):

Ashrafulla, Syed. “Causality and consistency in electrophysiological signals.” 2014. Web. 22 Oct 2019.

Vancouver:

Ashrafulla S. Causality and consistency in electrophysiological signals. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366875/rec/1256.

Council of Science Editors:

Ashrafulla S. Causality and consistency in electrophysiological signals. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366875/rec/1256


University of Southern California

10. Quan, Lin. Learning about the Internet through efficient sampling and aggregation.

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

 The Internet is important for nearly all aspects of our society, affecting ordinary people, businesses, and social activities. Because of its importance and wide‐spread applications,… (more)

Subjects/Keywords: Internet measurement; knowledge discovery; sampling and aggregation

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APA (6th Edition):

Quan, L. (2014). Learning about the Internet through efficient sampling and aggregation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3774

Chicago Manual of Style (16th Edition):

Quan, Lin. “Learning about the Internet through efficient sampling and aggregation.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3774.

MLA Handbook (7th Edition):

Quan, Lin. “Learning about the Internet through efficient sampling and aggregation.” 2014. Web. 22 Oct 2019.

Vancouver:

Quan L. Learning about the Internet through efficient sampling and aggregation. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3774.

Council of Science Editors:

Quan L. Learning about the Internet through efficient sampling and aggregation. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3774


University of Southern California

11. Cai, Xue. Global analysis and modeling on decentralized Internet.

Degree: PhD, Computer Science (Computer Networks), 2014, University of Southern California

 Better understanding about Internet infrastructure is crucial to improve the reliability, performance, and security of Web services. The need for this understanding then drives research… (more)

Subjects/Keywords: Internet; analysis; modeling; measurement

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APA (6th Edition):

Cai, X. (2014). Global analysis and modeling on decentralized Internet. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/361207/rec/3057

Chicago Manual of Style (16th Edition):

Cai, Xue. “Global analysis and modeling on decentralized Internet.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/361207/rec/3057.

MLA Handbook (7th Edition):

Cai, Xue. “Global analysis and modeling on decentralized Internet.” 2014. Web. 22 Oct 2019.

Vancouver:

Cai X. Global analysis and modeling on decentralized Internet. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/361207/rec/3057.

Council of Science Editors:

Cai X. Global analysis and modeling on decentralized Internet. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/361207/rec/3057


University of Southern California

12. Tokayer, Jason Michael. Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 Optical coherence tomography (OCT) is a depth-resolved cross-sectional imaging modality capable of imaging biological tissue at the micron-scale in vivo. OCT has found widespread use… (more)

Subjects/Keywords: optical coherence tomography; biomedical image processing

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APA (6th Edition):

Tokayer, J. M. (2013). Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/334273/rec/1635

Chicago Manual of Style (16th Edition):

Tokayer, Jason Michael. “Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/334273/rec/1635.

MLA Handbook (7th Edition):

Tokayer, Jason Michael. “Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography.” 2013. Web. 22 Oct 2019.

Vancouver:

Tokayer JM. Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/334273/rec/1635.

Council of Science Editors:

Tokayer JM. Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/334273/rec/1635


University of Southern California

13. Li, Ming. Representation, classification and information fusion for robust and efficient multimodal human states recognition.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 The goal of this work is to enhance the robustness and efficiency of the multimodal human states recognition task. Human states recognition can be considered… (more)

Subjects/Keywords: human state characterization; speaker verification; language identification; multimodal biometrics; emotion recognition; simplified supervised i-vector; sparse representation; physical activity recognition; ECG processing; speech production; articulation; vocal tract morphology

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APA (6th Edition):

Li, M. (2013). Representation, classification and information fusion for robust and efficient multimodal human states recognition. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/317515/rec/5533

Chicago Manual of Style (16th Edition):

Li, Ming. “Representation, classification and information fusion for robust and efficient multimodal human states recognition.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/317515/rec/5533.

MLA Handbook (7th Edition):

Li, Ming. “Representation, classification and information fusion for robust and efficient multimodal human states recognition.” 2013. Web. 22 Oct 2019.

Vancouver:

Li M. Representation, classification and information fusion for robust and efficient multimodal human states recognition. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/317515/rec/5533.

Council of Science Editors:

Li M. Representation, classification and information fusion for robust and efficient multimodal human states recognition. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/317515/rec/5533


University of Southern California

14. Lin, Yenting. Transmission tomography for high contrast media based on sparse data.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 Transmission tomography is a powerful tool to image the interior structure based on measured data on the boundary. It provides a "non-destructive" imaging and widely… (more)

Subjects/Keywords: tomography; high contrast; sparse data

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APA (6th Edition):

Lin, Y. (2013). Transmission tomography for high contrast media based on sparse data. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315223/rec/7584

Chicago Manual of Style (16th Edition):

Lin, Yenting. “Transmission tomography for high contrast media based on sparse data.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315223/rec/7584.

MLA Handbook (7th Edition):

Lin, Yenting. “Transmission tomography for high contrast media based on sparse data.” 2013. Web. 22 Oct 2019.

Vancouver:

Lin Y. Transmission tomography for high contrast media based on sparse data. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315223/rec/7584.

Council of Science Editors:

Lin Y. Transmission tomography for high contrast media based on sparse data. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315223/rec/7584


University of Southern California

15. Lee, Sungwon. Application-driven compressed sensing.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 Traditional compressed sensing (CS) approaches have been focused on the goal of reducing the number of measurements while achieving satisfactory reconstruction. Reducing the number of… (more)

Subjects/Keywords: compressed sensing; compressive sampling; wireless sensor network; data-gathering; depthmap compression

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APA (6th Edition):

Lee, S. (2013). Application-driven compressed sensing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313894/rec/859

Chicago Manual of Style (16th Edition):

Lee, Sungwon. “Application-driven compressed sensing.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313894/rec/859.

MLA Handbook (7th Edition):

Lee, Sungwon. “Application-driven compressed sensing.” 2013. Web. 22 Oct 2019.

Vancouver:

Lee S. Application-driven compressed sensing. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313894/rec/859.

Council of Science Editors:

Lee S. Application-driven compressed sensing. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313894/rec/859


University of Southern California

16. Ra, Moo-Ryong. Cloud-enabled mobile sensing systems.

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

 Smart mobile devices have increasingly become the computing platform of choice. As distinct features, they have sensors and many useful applications based on the sensors… (more)

Subjects/Keywords: mobile cloud computing; mobile systems

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APA (6th Edition):

Ra, M. (2013). Cloud-enabled mobile sensing systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/303424/rec/1397

Chicago Manual of Style (16th Edition):

Ra, Moo-Ryong. “Cloud-enabled mobile sensing systems.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/303424/rec/1397.

MLA Handbook (7th Edition):

Ra, Moo-Ryong. “Cloud-enabled mobile sensing systems.” 2013. Web. 22 Oct 2019.

Vancouver:

Ra M. Cloud-enabled mobile sensing systems. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/303424/rec/1397.

Council of Science Editors:

Ra M. Cloud-enabled mobile sensing systems. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/303424/rec/1397


University of Southern California

17. Osoba, Osonde Adekorede. Noise benefits in expectation-maximization algorithms.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 This dissertation shows that careful injection of noise into sample data can substantially speed up Expectation-Maximization algorithms. Expectation-Maximization algorithms are a class of iterative algorithms… (more)

Subjects/Keywords: Bayesian statistics; expectation-maximization algorithm; maximum likelihood estimation; neural networks; noise benefits

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APA (6th Edition):

Osoba, O. A. (2013). Noise benefits in expectation-maximization algorithms. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/294341/rec/4424

Chicago Manual of Style (16th Edition):

Osoba, Osonde Adekorede. “Noise benefits in expectation-maximization algorithms.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/294341/rec/4424.

MLA Handbook (7th Edition):

Osoba, Osonde Adekorede. “Noise benefits in expectation-maximization algorithms.” 2013. Web. 22 Oct 2019.

Vancouver:

Osoba OA. Noise benefits in expectation-maximization algorithms. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/294341/rec/4424.

Council of Science Editors:

Osoba OA. Noise benefits in expectation-maximization algorithms. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/294341/rec/4424


University of Southern California

18. Kang, Je-Won. Efficient coding techniques for high definition video.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 High definition (HD) video contents become popular and displays of higher resolution such as ultra definition are emerging in recent years. The conventional video coding… (more)

Subjects/Keywords: high definition video coding; data compression; multimedia signal processing; sparse representation; transform; entropy coding; H.264/AVC; HEVC

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APA (6th Edition):

Kang, J. (2013). Efficient coding techniques for high definition video. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/45608/rec/2240

Chicago Manual of Style (16th Edition):

Kang, Je-Won. “Efficient coding techniques for high definition video.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/45608/rec/2240.

MLA Handbook (7th Edition):

Kang, Je-Won. “Efficient coding techniques for high definition video.” 2013. Web. 22 Oct 2019.

Vancouver:

Kang J. Efficient coding techniques for high definition video. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/45608/rec/2240.

Council of Science Editors:

Kang J. Efficient coding techniques for high definition video. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/45608/rec/2240


University of Southern California

19. Ren, Yuzhuo. Techniques for vanishing point detection.

Degree: MS, Electrical Engineering, 2013, University of Southern California

 Automatic vanishing point detection is an important problem in computer vision since it has many applications such as road navigation, 3D scene reconstruction and camera… (more)

Subjects/Keywords: computer vision; image processing; machine learning; SVM; vanishing point

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APA (6th Edition):

Ren, Y. (2013). Techniques for vanishing point detection. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245264/rec/6368

Chicago Manual of Style (16th Edition):

Ren, Yuzhuo. “Techniques for vanishing point detection.” 2013. Masters Thesis, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245264/rec/6368.

MLA Handbook (7th Edition):

Ren, Yuzhuo. “Techniques for vanishing point detection.” 2013. Web. 22 Oct 2019.

Vancouver:

Ren Y. Techniques for vanishing point detection. [Internet] [Masters thesis]. University of Southern California; 2013. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245264/rec/6368.

Council of Science Editors:

Ren Y. Techniques for vanishing point detection. [Masters Thesis]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245264/rec/6368


University of Southern California

20. Tan, Qun Feng. Novel variations of sparse representation techniques with applications.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 This thesis proposes novel variations of Sparse Representation techniques and shows successful applications to a variety of fields such as Automatic Speech Recognition (ASR) denoising,… (more)

Subjects/Keywords: algorithms; convex optimization; machine learning; pattern recognition; sparse representation; speech processing

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APA (6th Edition):

Tan, Q. F. (2013). Novel variations of sparse representation techniques with applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/241019/rec/4469

Chicago Manual of Style (16th Edition):

Tan, Qun Feng. “Novel variations of sparse representation techniques with applications.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/241019/rec/4469.

MLA Handbook (7th Edition):

Tan, Qun Feng. “Novel variations of sparse representation techniques with applications.” 2013. Web. 22 Oct 2019.

Vancouver:

Tan QF. Novel variations of sparse representation techniques with applications. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/241019/rec/4469.

Council of Science Editors:

Tan QF. Novel variations of sparse representation techniques with applications. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/241019/rec/4469


University of Southern California

21. Sheng, Lingyan. Novel algorithms for large scale supervised and one class learning.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 Supervised learning is the machine learning task of inferring a function from labeled training data. There have been numerous algorithms proposed for supervised learning, such… (more)

Subjects/Keywords: supervised learning; one class learning; linear discriminant analysis; graph; Nyströ; m approximation

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APA (6th Edition):

Sheng, L. (2013). Novel algorithms for large scale supervised and one class learning. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225861/rec/4459

Chicago Manual of Style (16th Edition):

Sheng, Lingyan. “Novel algorithms for large scale supervised and one class learning.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225861/rec/4459.

MLA Handbook (7th Edition):

Sheng, Lingyan. “Novel algorithms for large scale supervised and one class learning.” 2013. Web. 22 Oct 2019.

Vancouver:

Sheng L. Novel algorithms for large scale supervised and one class learning. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225861/rec/4459.

Council of Science Editors:

Sheng L. Novel algorithms for large scale supervised and one class learning. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225861/rec/4459


University of Southern California

22. Makhijani, Mahender K. New methods for carotid MRI.

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

 Magnetic resonance imaging (MRI) is a promising modality for assessment and analysis of arterial plaque because of its inherent 3D nature, excellent soft tissue discrimination,… (more)

Subjects/Keywords: acceleration; carotid; CS; MRI

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APA (6th Edition):

Makhijani, M. K. (2012). New methods for carotid MRI. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/84109/rec/4395

Chicago Manual of Style (16th Edition):

Makhijani, Mahender K. “New methods for carotid MRI.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/84109/rec/4395.

MLA Handbook (7th Edition):

Makhijani, Mahender K. “New methods for carotid MRI.” 2012. Web. 22 Oct 2019.

Vancouver:

Makhijani MK. New methods for carotid MRI. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/84109/rec/4395.

Council of Science Editors:

Makhijani MK. New methods for carotid MRI. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/84109/rec/4395


University of Southern California

23. Cho, Seong Ho. Block-based image steganalysis: algorithm and performance evaluation.

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

 Traditional image steganalysis techniques are conducted with respect to the entire image. In this work, we aim to differentiate a stego image from its cover… (more)

Subjects/Keywords: steganalysis; steganography; decision fusion; feature selection

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APA (6th Edition):

Cho, S. H. (2012). Block-based image steganalysis: algorithm and performance evaluation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/81733/rec/1140

Chicago Manual of Style (16th Edition):

Cho, Seong Ho. “Block-based image steganalysis: algorithm and performance evaluation.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/81733/rec/1140.

MLA Handbook (7th Edition):

Cho, Seong Ho. “Block-based image steganalysis: algorithm and performance evaluation.” 2012. Web. 22 Oct 2019.

Vancouver:

Cho SH. Block-based image steganalysis: algorithm and performance evaluation. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/81733/rec/1140.

Council of Science Editors:

Cho SH. Block-based image steganalysis: algorithm and performance evaluation. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/81733/rec/1140


University of Southern California

24. Narang, Sunil Kumar. Critically sampled wavelet filterbanks on graphs.

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

 Emerging data mining applications will have to operate on datasets defined on graphs. Examples of such datasets include online document networks, social networks, and transportation… (more)

Subjects/Keywords: digital signal processing; network theory (graphs); sampling in graphs; wavelet transforms

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APA (6th Edition):

Narang, S. K. (2012). Critically sampled wavelet filterbanks on graphs. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/63114/rec/1709

Chicago Manual of Style (16th Edition):

Narang, Sunil Kumar. “Critically sampled wavelet filterbanks on graphs.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/63114/rec/1709.

MLA Handbook (7th Edition):

Narang, Sunil Kumar. “Critically sampled wavelet filterbanks on graphs.” 2012. Web. 22 Oct 2019.

Vancouver:

Narang SK. Critically sampled wavelet filterbanks on graphs. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/63114/rec/1709.

Council of Science Editors:

Narang SK. Critically sampled wavelet filterbanks on graphs. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/63114/rec/1709


University of Southern California

25. Sharma, Samir D. Accelerated chemical shift encoded water-fat imaging.

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

 Water-fat imaging techniques are commonly used in the research and clinical setting to separate and/or quantitate the two species. Within this class of techniques, chemical… (more)

Subjects/Keywords: water-fat MRI; chemical shift encoding; multiscale B-splines; compressed sensing; parallel imaging

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APA (6th Edition):

Sharma, S. D. (2012). Accelerated chemical shift encoded water-fat imaging. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/9072/rec/467

Chicago Manual of Style (16th Edition):

Sharma, Samir D. “Accelerated chemical shift encoded water-fat imaging.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/9072/rec/467.

MLA Handbook (7th Edition):

Sharma, Samir D. “Accelerated chemical shift encoded water-fat imaging.” 2012. Web. 22 Oct 2019.

Vancouver:

Sharma SD. Accelerated chemical shift encoded water-fat imaging. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/9072/rec/467.

Council of Science Editors:

Sharma SD. Accelerated chemical shift encoded water-fat imaging. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/9072/rec/467


University of Southern California

26. Smith, Travis B. Techniques to reduce off-resonance image artifacts in rapid MRI.

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

 Among modern medical imaging modalities, magnetic resonance imaging (MRI) is one of the slowest. Although restricted in part by natural properties of atomic nuclei, MRI… (more)

Subjects/Keywords: artifacts; blurring; MRI; off resonance; spiral

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APA (6th Edition):

Smith, T. B. (2012). Techniques to reduce off-resonance image artifacts in rapid MRI. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/1913/rec/6369

Chicago Manual of Style (16th Edition):

Smith, Travis B. “Techniques to reduce off-resonance image artifacts in rapid MRI.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/1913/rec/6369.

MLA Handbook (7th Edition):

Smith, Travis B. “Techniques to reduce off-resonance image artifacts in rapid MRI.” 2012. Web. 22 Oct 2019.

Vancouver:

Smith TB. Techniques to reduce off-resonance image artifacts in rapid MRI. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/1913/rec/6369.

Council of Science Editors:

Smith TB. Techniques to reduce off-resonance image artifacts in rapid MRI. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/1913/rec/6369


University of Southern California

27. Black, Matthew P. Automatic quantification and prediction of human subjective judgments in behavioral signal processing.

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

 Human judgments on human behavior are an important part of interpersonal interactions and many assessment and intervention designs. While humans have evolved to be naturally… (more)

Subjects/Keywords: behavioral signal processing (BSP); human-centered engineering; speech and language processing

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APA (6th Edition):

Black, M. P. (2012). Automatic quantification and prediction of human subjective judgments in behavioral signal processing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/676919/rec/1000

Chicago Manual of Style (16th Edition):

Black, Matthew P. “Automatic quantification and prediction of human subjective judgments in behavioral signal processing.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/676919/rec/1000.

MLA Handbook (7th Edition):

Black, Matthew P. “Automatic quantification and prediction of human subjective judgments in behavioral signal processing.” 2012. Web. 22 Oct 2019.

Vancouver:

Black MP. Automatic quantification and prediction of human subjective judgments in behavioral signal processing. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/676919/rec/1000.

Council of Science Editors:

Black MP. Automatic quantification and prediction of human subjective judgments in behavioral signal processing. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/676919/rec/1000


University of Southern California

28. Zhai, Daoyuan. Advanced learning systems for highly uncertain environments.

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

 Data quality, which broadly refers to both data frequency and accuracy, has been the key factor that determines the performances of most of today's machine… (more)

Subjects/Keywords: extended kalman filter; extended kalman smoother; quantum-behaved particle swarm algorithm; type-2 fuzzy logic sets and systems

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APA (6th Edition):

Zhai, D. (2012). Advanced learning systems for highly uncertain environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/205925/rec/544

Chicago Manual of Style (16th Edition):

Zhai, Daoyuan. “Advanced learning systems for highly uncertain environments.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/205925/rec/544.

MLA Handbook (7th Edition):

Zhai, Daoyuan. “Advanced learning systems for highly uncertain environments.” 2012. Web. 22 Oct 2019.

Vancouver:

Zhai D. Advanced learning systems for highly uncertain environments. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/205925/rec/544.

Council of Science Editors:

Zhai D. Advanced learning systems for highly uncertain environments. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/205925/rec/544


University of Southern California

29. Raskob, Benjamin L. A frequency-based mathematical model of binocular complex cell responses.

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

 We introduce a new biologically-inspired method for determining binocular disparity from stereo imagery by measuring Disparity Phase Interference (DPI), a sinusoidal pattern created in the… (more)

Subjects/Keywords: binocular; border ownership; energy model; neuron; stereo; wavelet

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APA (6th Edition):

Raskob, B. L. (2012). A frequency-based mathematical model of binocular complex cell responses. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204014/rec/194

Chicago Manual of Style (16th Edition):

Raskob, Benjamin L. “A frequency-based mathematical model of binocular complex cell responses.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204014/rec/194.

MLA Handbook (7th Edition):

Raskob, Benjamin L. “A frequency-based mathematical model of binocular complex cell responses.” 2012. Web. 22 Oct 2019.

Vancouver:

Raskob BL. A frequency-based mathematical model of binocular complex cell responses. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204014/rec/194.

Council of Science Editors:

Raskob BL. A frequency-based mathematical model of binocular complex cell responses. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204014/rec/194


University of Southern California

30. 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 22, 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. 22 Oct 2019.

Vancouver:

Gangwal V. Pose estimation for in-hand objects. [Internet] [Masters thesis]. University of Southern California; 2011. [cited 2019 Oct 22]. 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

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