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You searched for +publisher:"University of Southern California" +contributor:("Narayanan, Shrikanth S."). Showing records 1 – 30 of 66 total matches.

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University of Southern California

1. 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 July 08, 2020. 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. 08 Jul 2020.

Vancouver:

Audhkhasi K. A computational framework for diversity in ensembles of humans and machine systems. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Jul 08]. 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

2. Bresch, Erik. Visualizing and modeling vocal production dynamics.

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

 Understanding human speech production is of fundamental importance for basic and applied research in human communication: from speech science and linguistics to clinical and engineering… (more)

Subjects/Keywords: speech; speech production; MRI; magnetic resonance imaging; vocal tract

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APA (6th Edition):

Bresch, E. (2011). Visualizing and modeling vocal production dynamics. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/443469/rec/7851

Chicago Manual of Style (16th Edition):

Bresch, Erik. “Visualizing and modeling vocal production dynamics.” 2011. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/443469/rec/7851.

MLA Handbook (7th Edition):

Bresch, Erik. “Visualizing and modeling vocal production dynamics.” 2011. Web. 08 Jul 2020.

Vancouver:

Bresch E. Visualizing and modeling vocal production dynamics. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/443469/rec/7851.

Council of Science Editors:

Bresch E. Visualizing and modeling vocal production dynamics. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/443469/rec/7851


University of Southern California

3. Gurunath Shivakumar, Prashanth. Robust automatic speech recognition for children.

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

 Developing a robust ASR system for children is a challenging task because of increased variability in acoustic and linguistic correlates as function of young age.… (more)

Subjects/Keywords: automatic speech recognition; acoustic modeling; pronunciation modeling; acoustic adaptation; front-end features; subword modeling; duration modeling

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APA (6th Edition):

Gurunath Shivakumar, P. (2014). Robust automatic speech recognition for children. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/512162/rec/5618

Chicago Manual of Style (16th Edition):

Gurunath Shivakumar, Prashanth. “Robust automatic speech recognition for children.” 2014. Masters Thesis, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/512162/rec/5618.

MLA Handbook (7th Edition):

Gurunath Shivakumar, Prashanth. “Robust automatic speech recognition for children.” 2014. Web. 08 Jul 2020.

Vancouver:

Gurunath Shivakumar P. Robust automatic speech recognition for children. [Internet] [Masters thesis]. University of Southern California; 2014. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/512162/rec/5618.

Council of Science Editors:

Gurunath Shivakumar P. Robust automatic speech recognition for children. [Masters Thesis]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/512162/rec/5618


University of Southern California

4. Lee, Chi-Chun. Behavioral signal processing: computational approaches for modeling and quantifying interaction dynamics in dyadic human interactions.

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

 Behavioral Signal Processing (BSP) is an emerging interdisciplinary research domain, operationally defined as computational methods that model human behavior signals, with a goal of enhancing… (more)

Subjects/Keywords: behavioral signal processing; interpersonal interaction; interaction dynamics; dyadic interactions; affective computing; mental health

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APA (6th Edition):

Lee, C. (2012). Behavioral signal processing: computational approaches for modeling and quantifying interaction dynamics in dyadic human interactions. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/119634/rec/1063

Chicago Manual of Style (16th Edition):

Lee, Chi-Chun. “Behavioral signal processing: computational approaches for modeling and quantifying interaction dynamics in dyadic human interactions.” 2012. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/119634/rec/1063.

MLA Handbook (7th Edition):

Lee, Chi-Chun. “Behavioral signal processing: computational approaches for modeling and quantifying interaction dynamics in dyadic human interactions.” 2012. Web. 08 Jul 2020.

Vancouver:

Lee C. Behavioral signal processing: computational approaches for modeling and quantifying interaction dynamics in dyadic human interactions. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/119634/rec/1063.

Council of Science Editors:

Lee C. Behavioral signal processing: computational approaches for modeling and quantifying interaction dynamics in dyadic human interactions. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/119634/rec/1063


University of Southern California

5. 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/6051

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 July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6051.

MLA Handbook (7th Edition):

Rozgić, Viktor. “Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions.” 2011. Web. 08 Jul 2020.

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 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6051.

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/6051


University of Southern California

6. Prokaj, Jan. Exploitation of wide area motion imagery.

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

 Current digital photography solutions now routinely allow the capture of tens of megapixels of data at 2 frames per second. At these resolutions, a geographic… (more)

Subjects/Keywords: computer vision; aerial imagery; aerial surveillance; unmanned aerial vehicle

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APA (6th Edition):

Prokaj, J. (2013). Exploitation of wide area motion imagery. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/307102/rec/2645

Chicago Manual of Style (16th Edition):

Prokaj, Jan. “Exploitation of wide area motion imagery.” 2013. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/307102/rec/2645.

MLA Handbook (7th Edition):

Prokaj, Jan. “Exploitation of wide area motion imagery.” 2013. Web. 08 Jul 2020.

Vancouver:

Prokaj J. Exploitation of wide area motion imagery. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/307102/rec/2645.

Council of Science Editors:

Prokaj J. Exploitation of wide area motion imagery. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/307102/rec/2645


University of Southern California

7. Tsiartas, Andreas. Enhancing speech to speech translation through exploitation of bilingual resources and paralinguistic information.

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

 This thesis focuses on developing a speech‐to‐speech (S2S) translation system that utilizes paralinguistic acoustic cues for achieving successful cross‐lingual interaction. To enable that goal, research… (more)

Subjects/Keywords: speech to speech translation; voice activity detection; bilingual data extraction

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APA (6th Edition):

Tsiartas, A. (2014). Enhancing speech to speech translation through exploitation of bilingual resources and paralinguistic information. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/414269/rec/2383

Chicago Manual of Style (16th Edition):

Tsiartas, Andreas. “Enhancing speech to speech translation through exploitation of bilingual resources and paralinguistic information.” 2014. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/414269/rec/2383.

MLA Handbook (7th Edition):

Tsiartas, Andreas. “Enhancing speech to speech translation through exploitation of bilingual resources and paralinguistic information.” 2014. Web. 08 Jul 2020.

Vancouver:

Tsiartas A. Enhancing speech to speech translation through exploitation of bilingual resources and paralinguistic information. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/414269/rec/2383.

Council of Science Editors:

Tsiartas A. Enhancing speech to speech translation through exploitation of bilingual resources and paralinguistic information. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/414269/rec/2383


University of Southern California

8. Gong, Boqing. Kernel methods for unsupervised domain adaptation.

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

 In many applications (computer vision, natural language processing, speech recognition, etc.), the curse of domain mismatch arises when the test data (of a target domain)… (more)

Subjects/Keywords: kernel methods; domain adaptation; geodesic flow kernel; landmarks; rank of domains; latent domains; sequential determinantal point process

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APA (6th Edition):

Gong, B. (2015). Kernel methods for unsupervised domain adaptation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/604358/rec/3708

Chicago Manual of Style (16th Edition):

Gong, Boqing. “Kernel methods for unsupervised domain adaptation.” 2015. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/604358/rec/3708.

MLA Handbook (7th Edition):

Gong, Boqing. “Kernel methods for unsupervised domain adaptation.” 2015. Web. 08 Jul 2020.

Vancouver:

Gong B. Kernel methods for unsupervised domain adaptation. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/604358/rec/3708.

Council of Science Editors:

Gong B. Kernel methods for unsupervised domain adaptation. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/604358/rec/3708


University of Southern California

9. Ghosh, Prasanta Kumar. A computational framework for exploring the role of speech production in speech processing from a communication system perspective.

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

 This thesis focuses on exploring the role of speech production in automatic speech recognition from a communication system perspective. Specifically, I have developed a generalized… (more)

Subjects/Keywords: speech production; articulation; speech recognition; production-perception link

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APA (6th Edition):

Ghosh, P. K. (2011). A computational framework for exploring the role of speech production in speech processing from a communication system perspective. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/642815/rec/145

Chicago Manual of Style (16th Edition):

Ghosh, Prasanta Kumar. “A computational framework for exploring the role of speech production in speech processing from a communication system perspective.” 2011. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/642815/rec/145.

MLA Handbook (7th Edition):

Ghosh, Prasanta Kumar. “A computational framework for exploring the role of speech production in speech processing from a communication system perspective.” 2011. Web. 08 Jul 2020.

Vancouver:

Ghosh PK. A computational framework for exploring the role of speech production in speech processing from a communication system perspective. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/642815/rec/145.

Council of Science Editors:

Ghosh PK. A computational framework for exploring the role of speech production in speech processing from a communication system perspective. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/642815/rec/145


University of Southern California

10. 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/2524

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 July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/668898/rec/2524.

MLA Handbook (7th Edition):

Reinebold, James L., III. “Evaluating mobile phones as opportunistic on-body sensors.” 2011. Web. 08 Jul 2020.

Vancouver:

Reinebold, James L. I. Evaluating mobile phones as opportunistic on-body sensors. [Internet] [Masters thesis]. University of Southern California; 2011. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/668898/rec/2524.

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/2524


University of Southern California

11. 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 July 08, 2020. 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. 08 Jul 2020.

Vancouver:

Black MP. Automatic quantification and prediction of human subjective judgments in behavioral signal processing. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Jul 08]. 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

12. Shirani-Mehr, Houtan. Efficient reachability query evaluation in large spatiotemporal contact networks.

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

 In many application scenarios, an item, such as a message, a piece of sensitive information, contagious virus or a malicious malware, passes between two objects,… (more)

Subjects/Keywords: contact networks; query processing; reachability query

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APA (6th Edition):

Shirani-Mehr, H. (2013). Efficient reachability query evaluation in large spatiotemporal contact networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/307725/rec/2250

Chicago Manual of Style (16th Edition):

Shirani-Mehr, Houtan. “Efficient reachability query evaluation in large spatiotemporal contact networks.” 2013. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/307725/rec/2250.

MLA Handbook (7th Edition):

Shirani-Mehr, Houtan. “Efficient reachability query evaluation in large spatiotemporal contact networks.” 2013. Web. 08 Jul 2020.

Vancouver:

Shirani-Mehr H. Efficient reachability query evaluation in large spatiotemporal contact networks. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/307725/rec/2250.

Council of Science Editors:

Shirani-Mehr H. Efficient reachability query evaluation in large spatiotemporal contact networks. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/307725/rec/2250


University of Southern California

13. Kazemi, Leyla. Enabling query answering in a trustworthy privacy-aware spatial crowdsourcing.

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

 With the ubiquity of mobile devices, spatial crowdsourcing is emerging as a new platform, enabling spatial tasks (i.e., tasks related to a location) assigned to… (more)

Subjects/Keywords: crowdsourcing; spatial; privacy; trust

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APA (6th Edition):

Kazemi, L. (2012). Enabling query answering in a trustworthy privacy-aware spatial crowdsourcing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/119471/rec/2336

Chicago Manual of Style (16th Edition):

Kazemi, Leyla. “Enabling query answering in a trustworthy privacy-aware spatial crowdsourcing.” 2012. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/119471/rec/2336.

MLA Handbook (7th Edition):

Kazemi, Leyla. “Enabling query answering in a trustworthy privacy-aware spatial crowdsourcing.” 2012. Web. 08 Jul 2020.

Vancouver:

Kazemi L. Enabling query answering in a trustworthy privacy-aware spatial crowdsourcing. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/119471/rec/2336.

Council of Science Editors:

Kazemi L. Enabling query answering in a trustworthy privacy-aware spatial crowdsourcing. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/119471/rec/2336


University of Southern California

14. Parks, Daniel. Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior.

Degree: PhD, Neuroscience, 2016, University of Southern California

 The direction of gaze is an important means of communication among humans and apes. Although several studies have looked into gaze direction in the context… (more)

Subjects/Keywords: saliency modeling; eye-tracking; fixation prediction; autism spectrum

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APA (6th Edition):

Parks, D. (2016). Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544982/rec/2969

Chicago Manual of Style (16th Edition):

Parks, Daniel. “Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior.” 2016. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544982/rec/2969.

MLA Handbook (7th Edition):

Parks, Daniel. “Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior.” 2016. Web. 08 Jul 2020.

Vancouver:

Parks D. Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior. [Internet] [Doctoral dissertation]. University of Southern California; 2016. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544982/rec/2969.

Council of Science Editors:

Parks D. Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior. [Doctoral Dissertation]. University of Southern California; 2016. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544982/rec/2969


University of Southern California

15. Kazemzadeh, Abe. Natural language description of emotion.

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

 This dissertation studies how people describe emotions with language and how computers can simulate this descriptive behavior. Although many non-human animals can express their current… (more)

Subjects/Keywords: natural language processing; emotions; definite descriptions; dialog systems; intersubjectivity; sequential Bayesian update; Socratic epistemology; crowd-sourcing; dialog agent; EMO20Q; question-asking; fuzzy logic; interval type-2 fuzzy sets; human-computer interaction

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APA (6th Edition):

Kazemzadeh, A. (2013). Natural language description of emotion. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/298137/rec/4339

Chicago Manual of Style (16th Edition):

Kazemzadeh, Abe. “Natural language description of emotion.” 2013. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/298137/rec/4339.

MLA Handbook (7th Edition):

Kazemzadeh, Abe. “Natural language description of emotion.” 2013. Web. 08 Jul 2020.

Vancouver:

Kazemzadeh A. Natural language description of emotion. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/298137/rec/4339.

Council of Science Editors:

Kazemzadeh A. Natural language description of emotion. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/298137/rec/4339


University of Southern California

16. 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/4476

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 July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/241019/rec/4476.

MLA Handbook (7th Edition):

Tan, Qun Feng. “Novel variations of sparse representation techniques with applications.” 2013. Web. 08 Jul 2020.

Vancouver:

Tan QF. Novel variations of sparse representation techniques with applications. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/241019/rec/4476.

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/4476


University of Southern California

17. Ravi, Sujith. Deciphering natural language.

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

 Most state-of-the-art techniques used in natural language processing (NLP) are supervised and require labeled training data. For example, statistical language translation requires huge amounts of… (more)

Subjects/Keywords: natural language processing; machine learning; computational decipherment; artificial intelligence; statistics

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APA (6th Edition):

Ravi, S. (2011). Deciphering natural language. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/448537/rec/1791

Chicago Manual of Style (16th Edition):

Ravi, Sujith. “Deciphering natural language.” 2011. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/448537/rec/1791.

MLA Handbook (7th Edition):

Ravi, Sujith. “Deciphering natural language.” 2011. Web. 08 Jul 2020.

Vancouver:

Ravi S. Deciphering natural language. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/448537/rec/1791.

Council of Science Editors:

Ravi S. Deciphering natural language. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/448537/rec/1791


University of Southern California

18. 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/5540

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 July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/317515/rec/5540.

MLA Handbook (7th Edition):

Li, Ming. “Representation, classification and information fusion for robust and efficient multimodal human states recognition.” 2013. Web. 08 Jul 2020.

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 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/317515/rec/5540.

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/5540


University of Southern California

19. Ettelaie, Emil. Concept classification with application to speech to speech translation.

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

 The central goal in interactive speech-to-speech translation applications is to facilitate the accurate exchange of the semantic content (or "concept") of the speech between the… (more)

Subjects/Keywords: dialog models; semantic classification; sentence clustering; speech translation; spoken language understanding; topic modeling

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APA (6th Edition):

Ettelaie, E. (2011). Concept classification with application to speech to speech translation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/470846/rec/1564

Chicago Manual of Style (16th Edition):

Ettelaie, Emil. “Concept classification with application to speech to speech translation.” 2011. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/470846/rec/1564.

MLA Handbook (7th Edition):

Ettelaie, Emil. “Concept classification with application to speech to speech translation.” 2011. Web. 08 Jul 2020.

Vancouver:

Ettelaie E. Concept classification with application to speech to speech translation. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/470846/rec/1564.

Council of Science Editors:

Ettelaie E. Concept classification with application to speech to speech translation. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/470846/rec/1564


University of Southern California

20. Hagedorn, Christina M. Speech production in post-glossectomy speakers: articulatory preservation and compensation.

Degree: PhD, Linguistics, 2017, University of Southern California

 This dissertation aims to investigate the articulatory behavior of post-operative glossectomy patients. Patterns in patients’ vocal tract area functions, acoustic vowel spaces and speech perceptibility… (more)

Subjects/Keywords: speech; glossectomy; preservation; compensation

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APA (6th Edition):

Hagedorn, C. M. (2017). Speech production in post-glossectomy speakers: articulatory preservation and compensation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/614485/rec/6010

Chicago Manual of Style (16th Edition):

Hagedorn, Christina M. “Speech production in post-glossectomy speakers: articulatory preservation and compensation.” 2017. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/614485/rec/6010.

MLA Handbook (7th Edition):

Hagedorn, Christina M. “Speech production in post-glossectomy speakers: articulatory preservation and compensation.” 2017. Web. 08 Jul 2020.

Vancouver:

Hagedorn CM. Speech production in post-glossectomy speakers: articulatory preservation and compensation. [Internet] [Doctoral dissertation]. University of Southern California; 2017. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/614485/rec/6010.

Council of Science Editors:

Hagedorn CM. Speech production in post-glossectomy speakers: articulatory preservation and compensation. [Doctoral Dissertation]. University of Southern California; 2017. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/614485/rec/6010


University of Southern California

21. Yousefi, Ali. Learning in dynamic synapse neural networks.

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

 One of the frontier research in neuroscience focuses on replacing damaged human hippocampus regions with neural prosthesis. Neurophysiological and computational analysis of the hippocampus neural… (more)

Subjects/Keywords: synapse; spiking neural network; short term plasticity; long term plasticity; synaptic adaptation; learning; multi layer neural network; time divergence convergence learning; temporal dynamics; spike; LTP; STP

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APA (6th Edition):

Yousefi, A. (2014). Learning in dynamic synapse neural networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/441907/rec/3786

Chicago Manual of Style (16th Edition):

Yousefi, Ali. “Learning in dynamic synapse neural networks.” 2014. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/441907/rec/3786.

MLA Handbook (7th Edition):

Yousefi, Ali. “Learning in dynamic synapse neural networks.” 2014. Web. 08 Jul 2020.

Vancouver:

Yousefi A. Learning in dynamic synapse neural networks. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/441907/rec/3786.

Council of Science Editors:

Yousefi A. Learning in dynamic synapse neural networks. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/441907/rec/3786


University of Southern California

22. Metallinou, Angeliki. Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare.

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

 Human expressive communication is characterized by the continuous flow of multimodal information, such as facial, vocal and bodily gestures, which may convey the participant's affect.… (more)

Subjects/Keywords: multimodal signal processing; speech processing; affective computing; machine learning; healthcare; autism spectrum disorders

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APA (6th Edition):

Metallinou, A. (2013). Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/318864/rec/4271

Chicago Manual of Style (16th Edition):

Metallinou, Angeliki. “Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare.” 2013. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/318864/rec/4271.

MLA Handbook (7th Edition):

Metallinou, Angeliki. “Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare.” 2013. Web. 08 Jul 2020.

Vancouver:

Metallinou A. Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/318864/rec/4271.

Council of Science Editors:

Metallinou A. Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/318864/rec/4271


University of Southern California

23. Riesa, Jason A. Syntactic alignment models for large-scale statistical machine translation.

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

 Word alignment, the process of inferring the implicit links between words across two languages, serves as an integral piece of the puzzle of learning linguistic… (more)

Subjects/Keywords: translation; machine translation; alignment; word alignment; natural language processing; syntax; machine learning; noisy data

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APA (6th Edition):

Riesa, J. A. (2012). Syntactic alignment models for large-scale statistical machine translation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/8434/rec/6273

Chicago Manual of Style (16th Edition):

Riesa, Jason A. “Syntactic alignment models for large-scale statistical machine translation.” 2012. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/8434/rec/6273.

MLA Handbook (7th Edition):

Riesa, Jason A. “Syntactic alignment models for large-scale statistical machine translation.” 2012. Web. 08 Jul 2020.

Vancouver:

Riesa JA. Syntactic alignment models for large-scale statistical machine translation. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/8434/rec/6273.

Council of Science Editors:

Riesa JA. Syntactic alignment models for large-scale statistical machine translation. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/8434/rec/6273


University of Southern California

24. Lammert, Adam C. Structure and function in speech production.

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

 The mechanisms underlying speech production are some of the most crucial that humans posses, because the ability to produce and perceive speech forms much of… (more)

Subjects/Keywords: speech production; motor control; physical acoustics; statistical machine learning

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APA (6th Edition):

Lammert, A. C. (2014). Structure and function in speech production. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422765/rec/6132

Chicago Manual of Style (16th Edition):

Lammert, Adam C. “Structure and function in speech production.” 2014. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422765/rec/6132.

MLA Handbook (7th Edition):

Lammert, Adam C. “Structure and function in speech production.” 2014. Web. 08 Jul 2020.

Vancouver:

Lammert AC. Structure and function in speech production. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422765/rec/6132.

Council of Science Editors:

Lammert AC. Structure and function in speech production. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422765/rec/6132


University of Southern California

25. Gandhe, Sudeep R. Rapid prototyping and evaluation of dialogue systems for virtual humans.

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

 This thesis presents contributions towards Rapid Prototyping and Evaluation of Dialogue Systems for Virtual Humans. Different architectures have been proposed for developing Virtual Human Dialogue… (more)

Subjects/Keywords: dialogue systems; virtual humans; evaluation; rapid prototyping

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APA (6th Edition):

Gandhe, S. R. (2014). Rapid prototyping and evaluation of dialogue systems for virtual humans. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/364137/rec/5405

Chicago Manual of Style (16th Edition):

Gandhe, Sudeep R. “Rapid prototyping and evaluation of dialogue systems for virtual humans.” 2014. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/364137/rec/5405.

MLA Handbook (7th Edition):

Gandhe, Sudeep R. “Rapid prototyping and evaluation of dialogue systems for virtual humans.” 2014. Web. 08 Jul 2020.

Vancouver:

Gandhe SR. Rapid prototyping and evaluation of dialogue systems for virtual humans. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/364137/rec/5405.

Council of Science Editors:

Gandhe SR. Rapid prototyping and evaluation of dialogue systems for virtual humans. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/364137/rec/5405


University of Southern California

26. 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/7529

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 July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/438767/rec/7529.

MLA Handbook (7th Edition):

Ramanarayanan, Vikram. “Toward understanding speech planning by observing its execution—representations, modeling and analysis.” 2014. Web. 08 Jul 2020.

Vancouver:

Ramanarayanan V. Toward understanding speech planning by observing its execution—representations, modeling and analysis. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/438767/rec/7529.

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/7529


University of Southern California

27. Iturralde, Estibaliz. Not just talk: observed communication in adolescent friendship and its implications for health risk behavior.

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

 This dissertation is premised on the idea that what youth say to their friends and how they say it provide meaningful information about their health… (more)

Subjects/Keywords: adolescent risk behavior; adolescent sexual health; peer relationships; deviancy training; health communication; behavioral observation; dyadic analysis; social learning; positive youth development; intimacy; social support

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APA (6th Edition):

Iturralde, E. (2015). Not just talk: observed communication in adolescent friendship and its implications for health risk behavior. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/555959/rec/4465

Chicago Manual of Style (16th Edition):

Iturralde, Estibaliz. “Not just talk: observed communication in adolescent friendship and its implications for health risk behavior.” 2015. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/555959/rec/4465.

MLA Handbook (7th Edition):

Iturralde, Estibaliz. “Not just talk: observed communication in adolescent friendship and its implications for health risk behavior.” 2015. Web. 08 Jul 2020.

Vancouver:

Iturralde E. Not just talk: observed communication in adolescent friendship and its implications for health risk behavior. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/555959/rec/4465.

Council of Science Editors:

Iturralde E. Not just talk: observed communication in adolescent friendship and its implications for health risk behavior. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/555959/rec/4465


University of Southern California

28. Huang, Lixing. Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives.

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

 Virtual humans are embodied software agents designed to simulate the appearance and social behaviors of humans, typically with the goal of facilitating natural interactions between… (more)

Subjects/Keywords: virtual human; nonverbal behaviors; parasocial interaction; crowdsourcing

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APA (6th Edition):

Huang, L. (2013). Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/233719/rec/4921

Chicago Manual of Style (16th Edition):

Huang, Lixing. “Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives.” 2013. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/233719/rec/4921.

MLA Handbook (7th Edition):

Huang, Lixing. “Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives.” 2013. Web. 08 Jul 2020.

Vancouver:

Huang L. Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/233719/rec/4921.

Council of Science Editors:

Huang L. Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/233719/rec/4921


University of Southern California

29. 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/1142

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 July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/81733/rec/1142.

MLA Handbook (7th Edition):

Cho, Seong Ho. “Block-based image steganalysis: algorithm and performance evaluation.” 2012. Web. 08 Jul 2020.

Vancouver:

Cho SH. Block-based image steganalysis: algorithm and performance evaluation. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/81733/rec/1142.

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/1142


University of Southern California

30. Ozkan, Derya. Towards social virtual listeners: computational models of human nonverbal behaviors.

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

 Human nonverbal communication is a highly interactive process, in which the participants dynamically send and respond to nonverbal signals. These signals play a significant role… (more)

Subjects/Keywords: artificial intelligence; machine learning; multimodal processing; virtual agents

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APA (6th Edition):

Ozkan, D. (2014). Towards social virtual listeners: computational models of human nonverbal behaviors. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/367964/rec/7543

Chicago Manual of Style (16th Edition):

Ozkan, Derya. “Towards social virtual listeners: computational models of human nonverbal behaviors.” 2014. Doctoral Dissertation, University of Southern California. Accessed July 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/367964/rec/7543.

MLA Handbook (7th Edition):

Ozkan, Derya. “Towards social virtual listeners: computational models of human nonverbal behaviors.” 2014. Web. 08 Jul 2020.

Vancouver:

Ozkan D. Towards social virtual listeners: computational models of human nonverbal behaviors. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Jul 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/367964/rec/7543.

Council of Science Editors:

Ozkan D. Towards social virtual listeners: computational models of human nonverbal behaviors. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/367964/rec/7543

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