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You searched for +publisher:"University of Southern California" +contributor:("Kuo, C.-C. Jay"). Showing records 1 – 30 of 109 total matches.

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University of Southern California

1. Arslan Ay, Sakire. Leveraging georeferenced meta-data for the management of large video collections.

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

 The rapid adoption and deployment of ubiquitous video sensors has led to the collection of voluminous amounts of data and hence there is an increasing… (more)

Subjects/Keywords: georeferencing; video search; mobile video; GPS; meta-data; sensor

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APA (6th Edition):

Arslan Ay, S. (2010). Leveraging georeferenced meta-data for the management of large video collections. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/412917/rec/3807

Chicago Manual of Style (16th Edition):

Arslan Ay, Sakire. “Leveraging georeferenced meta-data for the management of large video collections.” 2010. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/412917/rec/3807.

MLA Handbook (7th Edition):

Arslan Ay, Sakire. “Leveraging georeferenced meta-data for the management of large video collections.” 2010. Web. 17 Feb 2020.

Vancouver:

Arslan Ay S. Leveraging georeferenced meta-data for the management of large video collections. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/412917/rec/3807.

Council of Science Editors:

Arslan Ay S. Leveraging georeferenced meta-data for the management of large video collections. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/412917/rec/3807


University of Southern California

2. Gao, Zhenzhen. City-scale aerial LiDAR point cloud visualization.

Degree: PhD, Computer Science (Multimedia and Creative Technologies), 2014, University of Southern California

 Aerial LiDAR (Light Detection and Ranging) is cost‐effective in acquiring terrain and urban information by mounting a downward‐scanning laser on a low‐flying aircraft. It produces… (more)

Subjects/Keywords: city‐scale; aerial LiDAR; point cloud; rendering; GPU; hybrid; visually‐complete; visualization

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APA (6th Edition):

Gao, Z. (2014). City-scale aerial LiDAR point cloud visualization. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/426678/rec/1367

Chicago Manual of Style (16th Edition):

Gao, Zhenzhen. “City-scale aerial LiDAR point cloud visualization.” 2014. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/426678/rec/1367.

MLA Handbook (7th Edition):

Gao, Zhenzhen. “City-scale aerial LiDAR point cloud visualization.” 2014. Web. 17 Feb 2020.

Vancouver:

Gao Z. City-scale aerial LiDAR point cloud visualization. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/426678/rec/1367.

Council of Science Editors:

Gao Z. City-scale aerial LiDAR point cloud visualization. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/426678/rec/1367


University of Southern California

3. 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 February 17, 2020. 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. 17 Feb 2020.

Vancouver:

Sheng L. Novel algorithms for large scale supervised and one class learning. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Feb 17]. 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

4. Thaipanich, Tanaphol. Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 In this research, we investigate advanced image and video enhancement techniques based on motion based interpolation and nonlocal-means (NL-means) denoising. The dissertation consists of three… (more)

Subjects/Keywords: adaptive nonlocal-means; frame rate up-conversion; image denoising; motion based interpolation; video error concealment

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APA (6th Edition):

Thaipanich, T. (2010). Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/293950/rec/3344

Chicago Manual of Style (16th Edition):

Thaipanich, Tanaphol. “Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques.” 2010. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/293950/rec/3344.

MLA Handbook (7th Edition):

Thaipanich, Tanaphol. “Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques.” 2010. Web. 17 Feb 2020.

Vancouver:

Thaipanich T. Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/293950/rec/3344.

Council of Science Editors:

Thaipanich T. Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/293950/rec/3344


University of Southern California

5. Zhang, Jiangyang. Advanced visual processing techniques for latent fingerprint detection and video retargeting.

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

 An important step in an automated fingerprint identification systems (AFIS) is the process of fingerprint segmentation. While a tremendous amount of efforts has been made… (more)

Subjects/Keywords: latent fingerprint segmentation; image retargeting; video retargeting

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APA (6th Edition):

Zhang, J. (2014). Advanced visual processing techniques for latent fingerprint detection and video retargeting. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382016/rec/552

Chicago Manual of Style (16th Edition):

Zhang, Jiangyang. “Advanced visual processing techniques for latent fingerprint detection and video retargeting.” 2014. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382016/rec/552.

MLA Handbook (7th Edition):

Zhang, Jiangyang. “Advanced visual processing techniques for latent fingerprint detection and video retargeting.” 2014. Web. 17 Feb 2020.

Vancouver:

Zhang J. Advanced visual processing techniques for latent fingerprint detection and video retargeting. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382016/rec/552.

Council of Science Editors:

Zhang J. Advanced visual processing techniques for latent fingerprint detection and video retargeting. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382016/rec/552


University of Southern California

6. Mooser, Jonathan. Combining object recognition and tracking for augmented reality.

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

 This thesis takes on the problem of object recognition and tracking specifically applied to augmented reality (AR). The ability to recognize a complex three-dimensional object… (more)

Subjects/Keywords: computer vision; augmented reality; computer graphics

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APA (6th Edition):

Mooser, J. (2009). Combining object recognition and tracking for augmented reality. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/266929/rec/1454

Chicago Manual of Style (16th Edition):

Mooser, Jonathan. “Combining object recognition and tracking for augmented reality.” 2009. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/266929/rec/1454.

MLA Handbook (7th Edition):

Mooser, Jonathan. “Combining object recognition and tracking for augmented reality.” 2009. Web. 17 Feb 2020.

Vancouver:

Mooser J. Combining object recognition and tracking for augmented reality. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/266929/rec/1454.

Council of Science Editors:

Mooser J. Combining object recognition and tracking for augmented reality. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/266929/rec/1454


University of Southern California

7. Yang, Yan. QoS based resource management for Internet applications.

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

 In recent years, many Internet based applications have arisen to take advantage of widespread inexpensive broadband connections. However, congestion on Internet is still significant. Therefore,… (more)

Subjects/Keywords: distributed system; incentives; peer-to-peer; QoS; resource management; streaming

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APA (6th Edition):

Yang, Y. (2010). QoS based resource management for Internet applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/434688/rec/5333

Chicago Manual of Style (16th Edition):

Yang, Yan. “QoS based resource management for Internet applications.” 2010. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/434688/rec/5333.

MLA Handbook (7th Edition):

Yang, Yan. “QoS based resource management for Internet applications.” 2010. Web. 17 Feb 2020.

Vancouver:

Yang Y. QoS based resource management for Internet applications. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/434688/rec/5333.

Council of Science Editors:

Yang Y. QoS based resource management for Internet applications. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/434688/rec/5333


University of Southern California

8. Wang, Hui. Robust video transmission in erasure networks with network coding.

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

 To transmit video through erasure networks effectively, it is essential to reduce the impact of packet loss on transmitted video quality. The problem of robust… (more)

Subjects/Keywords: video streaming; network coding; robust transmission; H.264/SVC; unequal erasure protection (UEP); wireless video transmission

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APA (6th Edition):

Wang, H. (2009). Robust video transmission in erasure networks with network coding. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/241460/rec/5619

Chicago Manual of Style (16th Edition):

Wang, Hui. “Robust video transmission in erasure networks with network coding.” 2009. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/241460/rec/5619.

MLA Handbook (7th Edition):

Wang, Hui. “Robust video transmission in erasure networks with network coding.” 2009. Web. 17 Feb 2020.

Vancouver:

Wang H. Robust video transmission in erasure networks with network coding. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/241460/rec/5619.

Council of Science Editors:

Wang H. Robust video transmission in erasure networks with network coding. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/241460/rec/5619


University of Southern California

9. Chang, Yu-Teng. Network structures: graph theory, statistics, and neuroscience applications.

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

 Network modeling and graph theory have been widely studied and applied in a variety of modern research areas. The detection of network structures in these… (more)

Subjects/Keywords: brain connectome; graph theory; modularity; network structures; random matrix theory; statistical significance

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APA (6th Edition):

Chang, Y. (2012). Network structures: graph theory, statistics, and neuroscience applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/39102/rec/4361

Chicago Manual of Style (16th Edition):

Chang, Yu-Teng. “Network structures: graph theory, statistics, and neuroscience applications.” 2012. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/39102/rec/4361.

MLA Handbook (7th Edition):

Chang, Yu-Teng. “Network structures: graph theory, statistics, and neuroscience applications.” 2012. Web. 17 Feb 2020.

Vancouver:

Chang Y. Network structures: graph theory, statistics, and neuroscience applications. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/39102/rec/4361.

Council of Science Editors:

Chang Y. Network structures: graph theory, statistics, and neuroscience applications. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/39102/rec/4361


University of Southern California

10. Wang, Jingwei. Depth inference and visual saliency detection from 2D images.

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

 With the rapid development of 3D vision technology, it is an active research topic to recover the depth information from 2D images. Current solutions heavily… (more)

Subjects/Keywords: 2D; 3D; depth; saliency; image

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APA (6th Edition):

Wang, J. (2013). Depth inference and visual saliency detection from 2D images. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1843

Chicago Manual of Style (16th Edition):

Wang, Jingwei. “Depth inference and visual saliency detection from 2D images.” 2013. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1843.

MLA Handbook (7th Edition):

Wang, Jingwei. “Depth inference and visual saliency detection from 2D images.” 2013. Web. 17 Feb 2020.

Vancouver:

Wang J. Depth inference and visual saliency detection from 2D images. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1843.

Council of Science Editors:

Wang J. Depth inference and visual saliency detection from 2D images. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1843


University of Southern California

11. Liu, Tsung-Jung. A learning‐based approach to image quality assessment.

Degree: PhD, Electrical Engineering, 2016, University of Southern California

 Research on visual quality assessment has been active during the last decade. This dissertation consists of six parts centered on this subject. In Chapter 1,… (more)

Subjects/Keywords: ensemble; fusion; image quality assessment; image quality scorer; machine learning; ParaBoost

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APA (6th Edition):

Liu, T. (2016). A learning‐based approach to image quality assessment. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446378/rec/226

Chicago Manual of Style (16th Edition):

Liu, Tsung-Jung. “A learning‐based approach to image quality assessment.” 2016. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446378/rec/226.

MLA Handbook (7th Edition):

Liu, Tsung-Jung. “A learning‐based approach to image quality assessment.” 2016. Web. 17 Feb 2020.

Vancouver:

Liu T. A learning‐based approach to image quality assessment. [Internet] [Doctoral dissertation]. University of Southern California; 2016. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446378/rec/226.

Council of Science Editors:

Liu T. A learning‐based approach to image quality assessment. [Doctoral Dissertation]. University of Southern California; 2016. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446378/rec/226


University of Southern California

12. Ko, Hyunsuk. Advanced techniques for stereoscopic image rectification and quality assessment.

Degree: PhD, Electrical Engineering, 2015, University of Southern California

 New frameworks for an objective quality evaluation and an image rectification of stereoscopic image pairs are presented in this work. First, quality assessment of stereoscopic… (more)

Subjects/Keywords: stereoscopic images; quality assessment; rectification; stereo matching; machine learning

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APA (6th Edition):

Ko, H. (2015). Advanced techniques for stereoscopic image rectification and quality assessment. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/538362/rec/551

Chicago Manual of Style (16th Edition):

Ko, Hyunsuk. “Advanced techniques for stereoscopic image rectification and quality assessment.” 2015. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/538362/rec/551.

MLA Handbook (7th Edition):

Ko, Hyunsuk. “Advanced techniques for stereoscopic image rectification and quality assessment.” 2015. Web. 17 Feb 2020.

Vancouver:

Ko H. Advanced techniques for stereoscopic image rectification and quality assessment. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/538362/rec/551.

Council of Science Editors:

Ko H. Advanced techniques for stereoscopic image rectification and quality assessment. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/538362/rec/551


University of Southern California

13. Wang, Bei. Techniques for efficient cloud modeling, simulation and rendering.

Degree: PhD, Electrical Engineering (Multimedia & Creative Technology), 2010, University of Southern California

 Realistic cloud simulation and rending find applications in many 3D applications such as high-quality 3D film production and realistic 3D flight simulation. However, the infinite… (more)

Subjects/Keywords: cumulus; cloud; simulation; similarity approach

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APA (6th Edition):

Wang, B. (2010). Techniques for efficient cloud modeling, simulation and rendering. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/40172/rec/6364

Chicago Manual of Style (16th Edition):

Wang, Bei. “Techniques for efficient cloud modeling, simulation and rendering.” 2010. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/40172/rec/6364.

MLA Handbook (7th Edition):

Wang, Bei. “Techniques for efficient cloud modeling, simulation and rendering.” 2010. Web. 17 Feb 2020.

Vancouver:

Wang B. Techniques for efficient cloud modeling, simulation and rendering. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/40172/rec/6364.

Council of Science Editors:

Wang B. Techniques for efficient cloud modeling, simulation and rendering. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/40172/rec/6364


University of Southern California

14. Hsueh, Yuling. Efficient updates for continuous queries over moving objects.

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

 As a result of recent technological advances, mobile devices with significant computational abilities, gigabytes of storage, and wireless communication capabilities have become widely available. In… (more)

Subjects/Keywords: spatio-temporal databases; moving object processing; scalable continuous query processing; spatial data indexing; location-based services

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APA (6th Edition):

Hsueh, Y. (2009). Efficient updates for continuous queries over moving objects. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/180899/rec/2252

Chicago Manual of Style (16th Edition):

Hsueh, Yuling. “Efficient updates for continuous queries over moving objects.” 2009. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/180899/rec/2252.

MLA Handbook (7th Edition):

Hsueh, Yuling. “Efficient updates for continuous queries over moving objects.” 2009. Web. 17 Feb 2020.

Vancouver:

Hsueh Y. Efficient updates for continuous queries over moving objects. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/180899/rec/2252.

Council of Science Editors:

Hsueh Y. Efficient updates for continuous queries over moving objects. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/180899/rec/2252


University of Southern California

15. He, Xingze. Novel and efficient schemes for security and privacy issues in smart grids.

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

 The past years have witnessed the fast development of smart grids all over the world. The introduction of digital communication technologies into the power system… (more)

Subjects/Keywords: smart grids; security; privacy; power quality monitoring; change-point detection

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APA (6th Edition):

He, X. (2013). Novel and efficient schemes for security and privacy issues in smart grids. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309209/rec/4460

Chicago Manual of Style (16th Edition):

He, Xingze. “Novel and efficient schemes for security and privacy issues in smart grids.” 2013. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309209/rec/4460.

MLA Handbook (7th Edition):

He, Xingze. “Novel and efficient schemes for security and privacy issues in smart grids.” 2013. Web. 17 Feb 2020.

Vancouver:

He X. Novel and efficient schemes for security and privacy issues in smart grids. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309209/rec/4460.

Council of Science Editors:

He X. Novel and efficient schemes for security and privacy issues in smart grids. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309209/rec/4460


University of Southern California

16. Siddiqui, Matheen. Human pose estimation from a single view point.

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

 We address the estimation of human poses from a single view point in images and sequences. This is an important problem with a range of… (more)

Subjects/Keywords: pose estimation; 3D articulated models; range sensors

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APA (6th Edition):

Siddiqui, M. (2009). Human pose estimation from a single view point. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/183061/rec/3278

Chicago Manual of Style (16th Edition):

Siddiqui, Matheen. “Human pose estimation from a single view point.” 2009. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/183061/rec/3278.

MLA Handbook (7th Edition):

Siddiqui, Matheen. “Human pose estimation from a single view point.” 2009. Web. 17 Feb 2020.

Vancouver:

Siddiqui M. Human pose estimation from a single view point. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/183061/rec/3278.

Council of Science Editors:

Siddiqui M. Human pose estimation from a single view point. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/183061/rec/3278


University of Southern California

17. Kang, Bong Jin. High-frequency ultrasound array-based imaging system for biomedical applications.

Degree: PhD, Biomedical Engineering, 2015, University of Southern California

 High frequency ultrasound imaging, capable of achieving superior spatial resolution in real-time, has been shown to be useful for imaging and visualizing blood flow in… (more)

Subjects/Keywords: high-frequency ultrasound; high-frequency ultrasound array-based imaging system; high-frequency ultrasound pulsed-wave Doppler; high-frequency ultrasound color Doppler

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APA (6th Edition):

Kang, B. J. (2015). High-frequency ultrasound array-based imaging system for biomedical applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/562902/rec/3177

Chicago Manual of Style (16th Edition):

Kang, Bong Jin. “High-frequency ultrasound array-based imaging system for biomedical applications.” 2015. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/562902/rec/3177.

MLA Handbook (7th Edition):

Kang, Bong Jin. “High-frequency ultrasound array-based imaging system for biomedical applications.” 2015. Web. 17 Feb 2020.

Vancouver:

Kang BJ. High-frequency ultrasound array-based imaging system for biomedical applications. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/562902/rec/3177.

Council of Science Editors:

Kang BJ. High-frequency ultrasound array-based imaging system for biomedical applications. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/562902/rec/3177


University of Southern California

18. Tadjpour, Layla. Interference reduction for multiaccess multicarrier transceivers in mobile environments.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 High quality broadband services in mobile environments is essential for the next generation wireless communication system. Multiuser OFDM systems provide promising multiaccess techniques for high… (more)

Subjects/Keywords: multicarrier CDMA; OFDM; interference cancellation; multiaccess interference; time varying channel; carrier frequency offset; multiuser detection

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APA (6th Edition):

Tadjpour, L. (2010). Interference reduction for multiaccess multicarrier transceivers in mobile environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/44112/rec/3576

Chicago Manual of Style (16th Edition):

Tadjpour, Layla. “Interference reduction for multiaccess multicarrier transceivers in mobile environments.” 2010. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/44112/rec/3576.

MLA Handbook (7th Edition):

Tadjpour, Layla. “Interference reduction for multiaccess multicarrier transceivers in mobile environments.” 2010. Web. 17 Feb 2020.

Vancouver:

Tadjpour L. Interference reduction for multiaccess multicarrier transceivers in mobile environments. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/44112/rec/3576.

Council of Science Editors:

Tadjpour L. Interference reduction for multiaccess multicarrier transceivers in mobile environments. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/44112/rec/3576


University of Southern California

19. Zhang, Qi. Advanced techniques for high fidelity video coding.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 This research focuses on two advanced techniques for high-bit-rate video coding: 1) subpel motion estimation and 2) residual processing.; First, we study sup-pixel motion estimation… (more)

Subjects/Keywords: subpixel motion search; complexity; error surface modeling; fast motion estimation; motion vector prediction; multi-order residual; MOR

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APA (6th Edition):

Zhang, Q. (2010). Advanced techniques for high fidelity video coding. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/352557/rec/550

Chicago Manual of Style (16th Edition):

Zhang, Qi. “Advanced techniques for high fidelity video coding.” 2010. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/352557/rec/550.

MLA Handbook (7th Edition):

Zhang, Qi. “Advanced techniques for high fidelity video coding.” 2010. Web. 17 Feb 2020.

Vancouver:

Zhang Q. Advanced techniques for high fidelity video coding. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/352557/rec/550.

Council of Science Editors:

Zhang Q. Advanced techniques for high fidelity video coding. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/352557/rec/550


University of Southern California

20. Guan, Wei. Hybrid methods for robust image matching and its application in augmented reality.

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

 This thesis presents new matching algorithms that work robustly in challenging situations. Image matching is a fundamental and challenging problem in vision community due to… (more)

Subjects/Keywords: computer science; computer vision; machine learning; graphical model; augmented reality; image matching/registration; line-based features; grid method; point cloud; segmentation; camera tracking

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APA (6th Edition):

Guan, W. (2014). Hybrid methods for robust image matching and its application in augmented reality. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/369764/rec/3289

Chicago Manual of Style (16th Edition):

Guan, Wei. “Hybrid methods for robust image matching and its application in augmented reality.” 2014. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/369764/rec/3289.

MLA Handbook (7th Edition):

Guan, Wei. “Hybrid methods for robust image matching and its application in augmented reality.” 2014. Web. 17 Feb 2020.

Vancouver:

Guan W. Hybrid methods for robust image matching and its application in augmented reality. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/369764/rec/3289.

Council of Science Editors:

Guan W. Hybrid methods for robust image matching and its application in augmented reality. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/369764/rec/3289


University of Southern California

21. Cho, Yongjin. Dependent R-D modeling for H.264/SVC bit allocation.

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

 In this research, we investigate model-based bit allocation algorithms for H.264/SVC, which is newly standardized as a scalable extension of H.264/AVC. Despite its importance in… (more)

Subjects/Keywords: R-D modeling; scalable video; H.264/SVC; rate control; bit allocation

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APA (6th Edition):

Cho, Y. (2010). Dependent R-D modeling for H.264/SVC bit allocation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/289439/rec/1840

Chicago Manual of Style (16th Edition):

Cho, Yongjin. “Dependent R-D modeling for H.264/SVC bit allocation.” 2010. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/289439/rec/1840.

MLA Handbook (7th Edition):

Cho, Yongjin. “Dependent R-D modeling for H.264/SVC bit allocation.” 2010. Web. 17 Feb 2020.

Vancouver:

Cho Y. Dependent R-D modeling for H.264/SVC bit allocation. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/289439/rec/1840.

Council of Science Editors:

Cho Y. Dependent R-D modeling for H.264/SVC bit allocation. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/289439/rec/1840


University of Southern California

22. Lou, Chung-Cheng. Low complexity and high efficiency prediction techniques for video coding.

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

 Video compression has been extensively studied in the last two decades. The success of a coding algorithm relies on the effective removal of spatial and… (more)

Subjects/Keywords: motion estimation; MV search window prediction; mobile devices; memory-constrained system; video coding; motion search range; motion vector prediction; adaptive search range selection; high efficiency video coding

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APA (6th Edition):

Lou, C. (2011). Low complexity and high efficiency prediction techniques for video coding. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3876

Chicago Manual of Style (16th Edition):

Lou, Chung-Cheng. “Low complexity and high efficiency prediction techniques for video coding.” 2011. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3876.

MLA Handbook (7th Edition):

Lou, Chung-Cheng. “Low complexity and high efficiency prediction techniques for video coding.” 2011. Web. 17 Feb 2020.

Vancouver:

Lou C. Low complexity and high efficiency prediction techniques for video coding. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3876.

Council of Science Editors:

Lou C. Low complexity and high efficiency prediction techniques for video coding. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3876


University of Southern California

23. Liang, Joyce. Efficient methods for enhancing secure network codes.

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

 Network coding has been studied extensively in the last decade, during which it has been linked to applications in throughput gain, error correction, robustness to… (more)

Subjects/Keywords: network coding; secrecy; robustness

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APA (6th Edition):

Liang, J. (2012). Efficient methods for enhancing secure network codes. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204887/rec/2245

Chicago Manual of Style (16th Edition):

Liang, Joyce. “Efficient methods for enhancing secure network codes.” 2012. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204887/rec/2245.

MLA Handbook (7th Edition):

Liang, Joyce. “Efficient methods for enhancing secure network codes.” 2012. Web. 17 Feb 2020.

Vancouver:

Liang J. Efficient methods for enhancing secure network codes. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204887/rec/2245.

Council of Science Editors:

Liang J. Efficient methods for enhancing secure network codes. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204887/rec/2245


University of Southern California

24. Oh, Byung Tae. Texture processing for image/video coding and super-resolution applications.

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

 Textured image/video processing for coding and super-resolution is investigated in this thesis to improve coding efficiency and prediction accuracy. The research consists of three main… (more)

Subjects/Keywords: texture processing; synthesis; interpolation; super-resolution; image/video denoising; compression; film grain noise

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APA (6th Edition):

Oh, B. T. (2009). Texture processing for image/video coding and super-resolution applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/407620/rec/6399

Chicago Manual of Style (16th Edition):

Oh, Byung Tae. “Texture processing for image/video coding and super-resolution applications.” 2009. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/407620/rec/6399.

MLA Handbook (7th Edition):

Oh, Byung Tae. “Texture processing for image/video coding and super-resolution applications.” 2009. Web. 17 Feb 2020.

Vancouver:

Oh BT. Texture processing for image/video coding and super-resolution applications. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/407620/rec/6399.

Council of Science Editors:

Oh BT. Texture processing for image/video coding and super-resolution applications. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/407620/rec/6399


University of Southern California

25. Poullis, Charalambos. Rapid creation of photorealistic large-scale urban city models.

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

 In recent years there has been an increasing demand for applications which employ miniature representations of the real world to recreate realistic and immersive virtual… (more)

Subjects/Keywords: city modeling; computer graphics; large-scale modeling; rapid reconstruction; rendering

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APA (6th Edition):

Poullis, C. (2009). Rapid creation of photorealistic large-scale urban city models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/146274/rec/5397

Chicago Manual of Style (16th Edition):

Poullis, Charalambos. “Rapid creation of photorealistic large-scale urban city models.” 2009. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/146274/rec/5397.

MLA Handbook (7th Edition):

Poullis, Charalambos. “Rapid creation of photorealistic large-scale urban city models.” 2009. Web. 17 Feb 2020.

Vancouver:

Poullis C. Rapid creation of photorealistic large-scale urban city models. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/146274/rec/5397.

Council of Science Editors:

Poullis C. Rapid creation of photorealistic large-scale urban city models. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/146274/rec/5397


University of Southern California

26. Khatri, Vikash. Intelligent video surveillance using soft biometrics.

Degree: MS, Electrical Engineering, 2010, University of Southern California

 The increasing use of surveillance cameras has generated a need of intelligent surveillance systems, which can identify the events of interest from the long video… (more)

Subjects/Keywords: soft biometric features; surveillance systems; camera calibration; outdoor environment

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APA (6th Edition):

Khatri, V. (2010). Intelligent video surveillance using soft biometrics. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/366167/rec/3560

Chicago Manual of Style (16th Edition):

Khatri, Vikash. “Intelligent video surveillance using soft biometrics.” 2010. Masters Thesis, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/366167/rec/3560.

MLA Handbook (7th Edition):

Khatri, Vikash. “Intelligent video surveillance using soft biometrics.” 2010. Web. 17 Feb 2020.

Vancouver:

Khatri V. Intelligent video surveillance using soft biometrics. [Internet] [Masters thesis]. University of Southern California; 2010. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/366167/rec/3560.

Council of Science Editors:

Khatri V. Intelligent video surveillance using soft biometrics. [Masters Thesis]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/366167/rec/3560


University of Southern California

27. Sucontphunt, Tanasai. 3D face surface and texture synthesis from 2D landmarks of a single face sketch.

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

 Synthesizing a 3D human face surface and texture from a drawing is a challenging problem. The problem involves inferring a 3D model and its color… (more)

Subjects/Keywords: 3D face modeling; 3D avatar; face sketch; face portrait

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APA (6th Edition):

Sucontphunt, T. (2012). 3D face surface and texture synthesis from 2D landmarks of a single face sketch. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/122040/rec/18

Chicago Manual of Style (16th Edition):

Sucontphunt, Tanasai. “3D face surface and texture synthesis from 2D landmarks of a single face sketch.” 2012. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/122040/rec/18.

MLA Handbook (7th Edition):

Sucontphunt, Tanasai. “3D face surface and texture synthesis from 2D landmarks of a single face sketch.” 2012. Web. 17 Feb 2020.

Vancouver:

Sucontphunt T. 3D face surface and texture synthesis from 2D landmarks of a single face sketch. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/122040/rec/18.

Council of Science Editors:

Sucontphunt T. 3D face surface and texture synthesis from 2D landmarks of a single face sketch. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/122040/rec/18


University of Southern California

28. Balli, Huseyin. Random network error correction codes.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 Network Communications has been established on the principle of routing , in which received packets at intermediate nodes are replicated and forwarded to the outgoing… (more)

Subjects/Keywords: network error correction codes

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APA (6th Edition):

Balli, H. (2010). Random network error correction codes. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/130682/rec/5396

Chicago Manual of Style (16th Edition):

Balli, Huseyin. “Random network error correction codes.” 2010. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/130682/rec/5396.

MLA Handbook (7th Edition):

Balli, Huseyin. “Random network error correction codes.” 2010. Web. 17 Feb 2020.

Vancouver:

Balli H. Random network error correction codes. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/130682/rec/5396.

Council of Science Editors:

Balli H. Random network error correction codes. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/130682/rec/5396


University of Southern California

29. Cho, Namgook. Source-specific learning and binaural cues selection techniques for audio source separation.

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

 Several audio source separation techniques, which aim to determine the original sources given their acoustic mixtures, are proposed in this research. Two different mixing processes… (more)

Subjects/Keywords: audio source separation; musical signal processing; room acoustics; source-specific signal processing; sparse signal representation; underdetermined mixing

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APA (6th Edition):

Cho, N. (2009). Source-specific learning and binaural cues selection techniques for audio source separation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/258996/rec/5962

Chicago Manual of Style (16th Edition):

Cho, Namgook. “Source-specific learning and binaural cues selection techniques for audio source separation.” 2009. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/258996/rec/5962.

MLA Handbook (7th Edition):

Cho, Namgook. “Source-specific learning and binaural cues selection techniques for audio source separation.” 2009. Web. 17 Feb 2020.

Vancouver:

Cho N. Source-specific learning and binaural cues selection techniques for audio source separation. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/258996/rec/5962.

Council of Science Editors:

Cho N. Source-specific learning and binaural cues selection techniques for audio source separation. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/258996/rec/5962


University of Southern California

30. Cho, Sungje. Techniques for de novo sequence assembly: algorithms and experimental results.

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

 The deep sequencing of second generation sequencing technology has enabled us to study complex biological structures, which have multiple DNA units simultaneously such as transcriptomics… (more)

Subjects/Keywords: computational biology; bioinformatics; sequence assembly

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APA (6th Edition):

Cho, S. (2012). Techniques for de novo sequence assembly: algorithms and experimental results. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77527/rec/6362

Chicago Manual of Style (16th Edition):

Cho, Sungje. “Techniques for de novo sequence assembly: algorithms and experimental results.” 2012. Doctoral Dissertation, University of Southern California. Accessed February 17, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77527/rec/6362.

MLA Handbook (7th Edition):

Cho, Sungje. “Techniques for de novo sequence assembly: algorithms and experimental results.” 2012. Web. 17 Feb 2020.

Vancouver:

Cho S. Techniques for de novo sequence assembly: algorithms and experimental results. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Feb 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77527/rec/6362.

Council of Science Editors:

Cho S. Techniques for de novo sequence assembly: algorithms and experimental results. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77527/rec/6362

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