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You searched for +publisher:"University of Notre Dame" +contributor:("Kevin Bowyer, Committee Member"). Showing records 1 – 23 of 23 total matches.

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University of Notre Dame

1. David Alan Cieslak. Finding Problems In, Proposing Solutions to, and Performing Analysis on Imbalanced Data</h1>.

Degree: PhD, Computer Science and Engineering, 2009, University of Notre Dame

  The data mining and machine learning research communities have focused on developing specialized algorithms and methods to handle a multitude of potential complications which… (more)

Subjects/Keywords: Machine Learning; Data Mining

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APA (6th Edition):

Cieslak, D. A. (2009). Finding Problems In, Proposing Solutions to, and Performing Analysis on Imbalanced Data</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/fn106w9493c

Chicago Manual of Style (16th Edition):

Cieslak, David Alan. “Finding Problems In, Proposing Solutions to, and Performing Analysis on Imbalanced Data</h1>.” 2009. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/fn106w9493c.

MLA Handbook (7th Edition):

Cieslak, David Alan. “Finding Problems In, Proposing Solutions to, and Performing Analysis on Imbalanced Data</h1>.” 2009. Web. 19 Apr 2019.

Vancouver:

Cieslak DA. Finding Problems In, Proposing Solutions to, and Performing Analysis on Imbalanced Data</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2009. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/fn106w9493c.

Council of Science Editors:

Cieslak DA. Finding Problems In, Proposing Solutions to, and Performing Analysis on Imbalanced Data</h1>. [Doctoral Dissertation]. University of Notre Dame; 2009. Available from: https://curate.nd.edu/show/fn106w9493c


University of Notre Dame

2. Xiaomin Liu. Identification, Segmentation and Analysis of Objects in Biomedical Images</h1>.

Degree: PhD, Computer Science and Engineering, 2011, University of Notre Dame

  Recent advances in biomedical imaging technology have made possible the visualization of various objects ranging from internal organs to microorganisms. Quantitative analysis of these… (more)

Subjects/Keywords: segmentation; quantitative analysis; biomedical images; classification

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APA (6th Edition):

Liu, X. (2011). Identification, Segmentation and Analysis of Objects in Biomedical Images</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/zw12z319996

Chicago Manual of Style (16th Edition):

Liu, Xiaomin. “Identification, Segmentation and Analysis of Objects in Biomedical Images</h1>.” 2011. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/zw12z319996.

MLA Handbook (7th Edition):

Liu, Xiaomin. “Identification, Segmentation and Analysis of Objects in Biomedical Images</h1>.” 2011. Web. 19 Apr 2019.

Vancouver:

Liu X. Identification, Segmentation and Analysis of Objects in Biomedical Images</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2011. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/zw12z319996.

Council of Science Editors:

Liu X. Identification, Segmentation and Analysis of Objects in Biomedical Images</h1>. [Doctoral Dissertation]. University of Notre Dame; 2011. Available from: https://curate.nd.edu/show/zw12z319996


University of Notre Dame

3. Christopher Bensing Boehnen. Improving 3D Face Recognition Model Generation and Biometrics</h1>.

Degree: PhD, Computer Science and Engineering, 2009, University of Notre Dame

  3D face shape biometrics, with greater pose and lighting condition data invariance than 2D (photometric), has the potential to yield superior performance to 2D… (more)

Subjects/Keywords: 3D Face Biometrics Computer Vision

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APA (6th Edition):

Boehnen, C. B. (2009). Improving 3D Face Recognition Model Generation and Biometrics</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/c821gh95m2m

Chicago Manual of Style (16th Edition):

Boehnen, Christopher Bensing. “Improving 3D Face Recognition Model Generation and Biometrics</h1>.” 2009. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/c821gh95m2m.

MLA Handbook (7th Edition):

Boehnen, Christopher Bensing. “Improving 3D Face Recognition Model Generation and Biometrics</h1>.” 2009. Web. 19 Apr 2019.

Vancouver:

Boehnen CB. Improving 3D Face Recognition Model Generation and Biometrics</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2009. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/c821gh95m2m.

Council of Science Editors:

Boehnen CB. Improving 3D Face Recognition Model Generation and Biometrics</h1>. [Doctoral Dissertation]. University of Notre Dame; 2009. Available from: https://curate.nd.edu/show/c821gh95m2m


University of Notre Dame

4. Matthew James Van Antwerp. Studying Open Source Versioning Metadata</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2009, University of Notre Dame

  The SourceForge Research Data Archive (SRDA) is a collection of Open Source Software (OSS) data and resources. Over 200 researchers worldwide use the archive… (more)

Subjects/Keywords: BerliOS; Savannah; GNU; Open Source Software; SourceForge; Database; Subversion; CVS

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APA (6th Edition):

Antwerp, M. J. V. (2009). Studying Open Source Versioning Metadata</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/cf95j96246t

Chicago Manual of Style (16th Edition):

Antwerp, Matthew James Van. “Studying Open Source Versioning Metadata</h1>.” 2009. Masters Thesis, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/cf95j96246t.

MLA Handbook (7th Edition):

Antwerp, Matthew James Van. “Studying Open Source Versioning Metadata</h1>.” 2009. Web. 19 Apr 2019.

Vancouver:

Antwerp MJV. Studying Open Source Versioning Metadata</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2009. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/cf95j96246t.

Council of Science Editors:

Antwerp MJV. Studying Open Source Versioning Metadata</h1>. [Masters Thesis]. University of Notre Dame; 2009. Available from: https://curate.nd.edu/show/cf95j96246t


University of Notre Dame

5. Robert McKeon. Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>.

Degree: PhD, Computer Science and Engineering, 2010, University of Notre Dame

  Many commercially available 3D sensors suitable for face image capture employ passive or texture-assisted stereo imaging or structured illumination with a moving light stripe.… (more)

Subjects/Keywords: object tracking; range scanner; face; 3D imaging; biometric; Face recognition

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APA (6th Edition):

McKeon, R. (2010). Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/p8418k7401t

Chicago Manual of Style (16th Edition):

McKeon, Robert. “Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>.” 2010. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/p8418k7401t.

MLA Handbook (7th Edition):

McKeon, Robert. “Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>.” 2010. Web. 19 Apr 2019.

Vancouver:

McKeon R. Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2010. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/p8418k7401t.

Council of Science Editors:

McKeon R. Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>. [Doctoral Dissertation]. University of Notre Dame; 2010. Available from: https://curate.nd.edu/show/p8418k7401t


University of Notre Dame

6. Joseph William Thompson. Iris Perturbation Methods for Improved Recognition</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2012, University of Notre Dame

  Perturbations of software provided circular segmentations are used to generate multiple probe templates from a single image. The multiple probes are matched against a… (more)

Subjects/Keywords: Receiver Operating Characteristic; Perturbation; Comparative analysis; Iris Recognition

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APA (6th Edition):

Thompson, J. W. (2012). Iris Perturbation Methods for Improved Recognition</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/gb19f47771q

Chicago Manual of Style (16th Edition):

Thompson, Joseph William. “Iris Perturbation Methods for Improved Recognition</h1>.” 2012. Masters Thesis, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/gb19f47771q.

MLA Handbook (7th Edition):

Thompson, Joseph William. “Iris Perturbation Methods for Improved Recognition</h1>.” 2012. Web. 19 Apr 2019.

Vancouver:

Thompson JW. Iris Perturbation Methods for Improved Recognition</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2012. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/gb19f47771q.

Council of Science Editors:

Thompson JW. Iris Perturbation Methods for Improved Recognition</h1>. [Masters Thesis]. University of Notre Dame; 2012. Available from: https://curate.nd.edu/show/gb19f47771q


University of Notre Dame

7. James S Doyle. Quality Metrics for Biometrics</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2011, University of Notre Dame

  The accuracy of a biometrics system increases with the quality of the sample used for identification. All current iris biometrics systems capture multiple samples… (more)

Subjects/Keywords: mean self-match; face; quality; metric; iris; MSM; biometrics; recognition

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APA (6th Edition):

Doyle, J. S. (2011). Quality Metrics for Biometrics</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/7h149p3109q

Chicago Manual of Style (16th Edition):

Doyle, James S. “Quality Metrics for Biometrics</h1>.” 2011. Masters Thesis, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/7h149p3109q.

MLA Handbook (7th Edition):

Doyle, James S. “Quality Metrics for Biometrics</h1>.” 2011. Web. 19 Apr 2019.

Vancouver:

Doyle JS. Quality Metrics for Biometrics</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2011. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/7h149p3109q.

Council of Science Editors:

Doyle JS. Quality Metrics for Biometrics</h1>. [Masters Thesis]. University of Notre Dame; 2011. Available from: https://curate.nd.edu/show/7h149p3109q


University of Notre Dame

8. Allison Ann Penner Regier. A Flexible Comparative Genomics Framework for Integrating Heterogeneous Sequence Data</h1>.

Degree: PhD, Computer Science and Engineering, 2011, University of Notre Dame

  Genome sequencing technologies have revolutionized biology in the past two decades, yet data analysis has lagged behind data production. In this thesis, we present… (more)

Subjects/Keywords: anopheles gambiae; plasmodium falciparum; bioinformatics

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APA (6th Edition):

Regier, A. A. P. (2011). A Flexible Comparative Genomics Framework for Integrating Heterogeneous Sequence Data</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/0k225b01f48

Chicago Manual of Style (16th Edition):

Regier, Allison Ann Penner. “A Flexible Comparative Genomics Framework for Integrating Heterogeneous Sequence Data</h1>.” 2011. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/0k225b01f48.

MLA Handbook (7th Edition):

Regier, Allison Ann Penner. “A Flexible Comparative Genomics Framework for Integrating Heterogeneous Sequence Data</h1>.” 2011. Web. 19 Apr 2019.

Vancouver:

Regier AAP. A Flexible Comparative Genomics Framework for Integrating Heterogeneous Sequence Data</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2011. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/0k225b01f48.

Council of Science Editors:

Regier AAP. A Flexible Comparative Genomics Framework for Integrating Heterogeneous Sequence Data</h1>. [Doctoral Dissertation]. University of Notre Dame; 2011. Available from: https://curate.nd.edu/show/0k225b01f48


University of Notre Dame

9. Irena Lanc. Novel Methods for Assembly Validation and Improvement</h1>.

Degree: PhD, Computer Science and Engineering, 2014, University of Notre Dame

  Advancements in sequencing technology have made it possible to acquire large amounts of genomic data in a relatively cost-effective fashion. However, accurate and reliable… (more)

Subjects/Keywords: Bioinformatics; Distributed Systems; Genomics; Genome Assembly

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APA (6th Edition):

Lanc, I. (2014). Novel Methods for Assembly Validation and Improvement</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/cn69m328q4v

Chicago Manual of Style (16th Edition):

Lanc, Irena. “Novel Methods for Assembly Validation and Improvement</h1>.” 2014. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/cn69m328q4v.

MLA Handbook (7th Edition):

Lanc, Irena. “Novel Methods for Assembly Validation and Improvement</h1>.” 2014. Web. 19 Apr 2019.

Vancouver:

Lanc I. Novel Methods for Assembly Validation and Improvement</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2014. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/cn69m328q4v.

Council of Science Editors:

Lanc I. Novel Methods for Assembly Validation and Improvement</h1>. [Doctoral Dissertation]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/cn69m328q4v


University of Notre Dame

10. Jeffrey Richard Paone. Liberating the Biometric Menagerie Through Score Normalization Improvements</h1>.

Degree: PhD, Computer Science and Engineering, 2013, University of Notre Dame

  The biometric menagerie, or biometric zoo, is a classification system used to label the matching tendencies of a given subject?s biometric signature. These tendencies… (more)

Subjects/Keywords: biometric menagerie; facial recognition; biometrics; score normalization

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APA (6th Edition):

Paone, J. R. (2013). Liberating the Biometric Menagerie Through Score Normalization Improvements</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/5999n298v0s

Chicago Manual of Style (16th Edition):

Paone, Jeffrey Richard. “Liberating the Biometric Menagerie Through Score Normalization Improvements</h1>.” 2013. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/5999n298v0s.

MLA Handbook (7th Edition):

Paone, Jeffrey Richard. “Liberating the Biometric Menagerie Through Score Normalization Improvements</h1>.” 2013. Web. 19 Apr 2019.

Vancouver:

Paone JR. Liberating the Biometric Menagerie Through Score Normalization Improvements</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2013. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/5999n298v0s.

Council of Science Editors:

Paone JR. Liberating the Biometric Menagerie Through Score Normalization Improvements</h1>. [Doctoral Dissertation]. University of Notre Dame; 2013. Available from: https://curate.nd.edu/show/5999n298v0s


University of Notre Dame

11. Jiading Gai. Robust Target Tracking: Theory, Applications and Implementations</h1>.

Degree: PhD, Electrical Engineering, 2010, University of Notre Dame

  Due to increasing demand on force protection, intelligence gathering, and target systems in recent years, object tracking is receiving considerable attention in the research… (more)

Subjects/Keywords: optical flow; contour tracking; robust PCA; total variation; template tracking; Markov random field

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APA (6th Edition):

Gai, J. (2010). Robust Target Tracking: Theory, Applications and Implementations</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/6d56zw14w1b

Chicago Manual of Style (16th Edition):

Gai, Jiading. “Robust Target Tracking: Theory, Applications and Implementations</h1>.” 2010. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/6d56zw14w1b.

MLA Handbook (7th Edition):

Gai, Jiading. “Robust Target Tracking: Theory, Applications and Implementations</h1>.” 2010. Web. 19 Apr 2019.

Vancouver:

Gai J. Robust Target Tracking: Theory, Applications and Implementations</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2010. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/6d56zw14w1b.

Council of Science Editors:

Gai J. Robust Target Tracking: Theory, Applications and Implementations</h1>. [Doctoral Dissertation]. University of Notre Dame; 2010. Available from: https://curate.nd.edu/show/6d56zw14w1b


University of Notre Dame

12. Wei Zhang. Data Mining for Biological Data Learning: Algorithm and Application</h1>.

Degree: PhD, Computer Science and Engineering, 2013, University of Notre Dame

  Due to fast growing technology developments, large amounts of experimental data for complex biological systems have been increasingly available. For example, microarray technology enabled… (more)

Subjects/Keywords: bioinformatics; genomics; feature selection; machine learning; data mining

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APA (6th Edition):

Zhang, W. (2013). Data Mining for Biological Data Learning: Algorithm and Application</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/2514nk33x3t

Chicago Manual of Style (16th Edition):

Zhang, Wei. “Data Mining for Biological Data Learning: Algorithm and Application</h1>.” 2013. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/2514nk33x3t.

MLA Handbook (7th Edition):

Zhang, Wei. “Data Mining for Biological Data Learning: Algorithm and Application</h1>.” 2013. Web. 19 Apr 2019.

Vancouver:

Zhang W. Data Mining for Biological Data Learning: Algorithm and Application</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2013. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/2514nk33x3t.

Council of Science Editors:

Zhang W. Data Mining for Biological Data Learning: Algorithm and Application</h1>. [Doctoral Dissertation]. University of Notre Dame; 2013. Available from: https://curate.nd.edu/show/2514nk33x3t


University of Notre Dame

13. Nisha Srinivas. Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>.

Degree: PhD, Computer Science and Engineering, 2015, University of Notre Dame

  Continuing advancements in the field of digital cameras and surveillance imaging devices have led law enforcement and intelligence agencies to use analysis of images… (more)

Subjects/Keywords: Identical Twins; Biometrics; 2D Face Recognition; 3D Face Recognition; Forensic Identification; Facial Marks

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APA (6th Edition):

Srinivas, N. (2015). Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/ng451g07r89

Chicago Manual of Style (16th Edition):

Srinivas, Nisha. “Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>.” 2015. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/ng451g07r89.

MLA Handbook (7th Edition):

Srinivas, Nisha. “Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>.” 2015. Web. 19 Apr 2019.

Vancouver:

Srinivas N. Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2015. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/ng451g07r89.

Council of Science Editors:

Srinivas N. Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>. [Doctoral Dissertation]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/ng451g07r89


University of Notre Dame

14. Ronald J. Nowling. Replacing Domain-Specific Methods in Bioinformatics with Machine Learning Techniques</h1>.

Degree: PhD, Computer Science and Engineering, 2016, University of Notre Dame

  Bioinformaticians are constantly developing new algorithms, searching for more accurate answers, more quickly. Implementation of novel algorithms is incredibly time and resource intensive, however.… (more)

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APA (6th Edition):

Nowling, R. J. (2016). Replacing Domain-Specific Methods in Bioinformatics with Machine Learning Techniques</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/2v23vt16x7c

Chicago Manual of Style (16th Edition):

Nowling, Ronald J.. “Replacing Domain-Specific Methods in Bioinformatics with Machine Learning Techniques</h1>.” 2016. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/2v23vt16x7c.

MLA Handbook (7th Edition):

Nowling, Ronald J.. “Replacing Domain-Specific Methods in Bioinformatics with Machine Learning Techniques</h1>.” 2016. Web. 19 Apr 2019.

Vancouver:

Nowling RJ. Replacing Domain-Specific Methods in Bioinformatics with Machine Learning Techniques</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2016. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/2v23vt16x7c.

Council of Science Editors:

Nowling RJ. Replacing Domain-Specific Methods in Bioinformatics with Machine Learning Techniques</h1>. [Doctoral Dissertation]. University of Notre Dame; 2016. Available from: https://curate.nd.edu/show/2v23vt16x7c


University of Notre Dame

15. Karsten Steinhaeuser. Viewing the World Through a Network Lens</h1>.

Degree: PhD, Computer Science and Engineering, 2011, University of Notre Dame

  Most conventional data structures and data analysis methods were designed with simple transaction data in mind. However, data miners are increasingly presented with more… (more)

Subjects/Keywords: data mining; community structure; social networks; complex networks; climate data

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APA (6th Edition):

Steinhaeuser, K. (2011). Viewing the World Through a Network Lens</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/nk322b91170

Chicago Manual of Style (16th Edition):

Steinhaeuser, Karsten. “Viewing the World Through a Network Lens</h1>.” 2011. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/nk322b91170.

MLA Handbook (7th Edition):

Steinhaeuser, Karsten. “Viewing the World Through a Network Lens</h1>.” 2011. Web. 19 Apr 2019.

Vancouver:

Steinhaeuser K. Viewing the World Through a Network Lens</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2011. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/nk322b91170.

Council of Science Editors:

Steinhaeuser K. Viewing the World Through a Network Lens</h1>. [Doctoral Dissertation]. University of Notre Dame; 2011. Available from: https://curate.nd.edu/show/nk322b91170


University of Notre Dame

16. Timothy Everett Wright. Privacy and Integrity in Collaborative, Virtual Environments</h1>.

Degree: PhD, Computer Science and Engineering, 2009, University of Notre Dame

  Collaborative, virtual environments (CVEs) leverage desktop virtual reality technologies to enable multiple, simultaneous participants to interact and work together. As immersive, multimedia-oriented systems, CVEs… (more)

Subjects/Keywords: virtual reality; access control; discretionary access; collaborative virtual environment; information security

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APA (6th Edition):

Wright, T. E. (2009). Privacy and Integrity in Collaborative, Virtual Environments</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/jq085h75x6k

Chicago Manual of Style (16th Edition):

Wright, Timothy Everett. “Privacy and Integrity in Collaborative, Virtual Environments</h1>.” 2009. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/jq085h75x6k.

MLA Handbook (7th Edition):

Wright, Timothy Everett. “Privacy and Integrity in Collaborative, Virtual Environments</h1>.” 2009. Web. 19 Apr 2019.

Vancouver:

Wright TE. Privacy and Integrity in Collaborative, Virtual Environments</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2009. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/jq085h75x6k.

Council of Science Editors:

Wright TE. Privacy and Integrity in Collaborative, Virtual Environments</h1>. [Doctoral Dissertation]. University of Notre Dame; 2009. Available from: https://curate.nd.edu/show/jq085h75x6k


University of Notre Dame

17. Everaldo Aguiar. Identifying Students at Risk and Beyond: A Machine Learning Approach</h1>.

Degree: PhD, Computer Science and Engineering, 2015, University of Notre Dame

  A common denominator across different cultures and societies is that people are on a continuous quest to move forward in life – each in… (more)

Subjects/Keywords: Learning Analytics; Higher Education; Educational Data Mining; Early Warning Systems; Student Attrition; Predictive Analysis; STEM Education; Secondary Education; College dropout; Academic Intervention; Early Warning Indicators; High school dropout

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APA (6th Edition):

Aguiar, E. (2015). Identifying Students at Risk and Beyond: A Machine Learning Approach</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/1v53jw8435h

Chicago Manual of Style (16th Edition):

Aguiar, Everaldo. “Identifying Students at Risk and Beyond: A Machine Learning Approach</h1>.” 2015. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/1v53jw8435h.

MLA Handbook (7th Edition):

Aguiar, Everaldo. “Identifying Students at Risk and Beyond: A Machine Learning Approach</h1>.” 2015. Web. 19 Apr 2019.

Vancouver:

Aguiar E. Identifying Students at Risk and Beyond: A Machine Learning Approach</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2015. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/1v53jw8435h.

Council of Science Editors:

Aguiar E. Identifying Students at Risk and Beyond: A Machine Learning Approach</h1>. [Doctoral Dissertation]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/1v53jw8435h


University of Notre Dame

18. Bren Christopher Mochocki. Voltage Scheduling Techniques for Dynamic Voltage Scaling Processors with Practical Limitations</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2004, University of Notre Dame

  Voltage scheduling is an essential technique used to exploit the benefit of dynamic voltage scaling processors. Though extensive research exists in this area, processor… (more)

Subjects/Keywords: voltage scheduling; DVS; CAD; low power; embedded systems

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APA (6th Edition):

Mochocki, B. C. (2004). Voltage Scheduling Techniques for Dynamic Voltage Scaling Processors with Practical Limitations</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/7d278s47p1t

Chicago Manual of Style (16th Edition):

Mochocki, Bren Christopher. “Voltage Scheduling Techniques for Dynamic Voltage Scaling Processors with Practical Limitations</h1>.” 2004. Masters Thesis, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/7d278s47p1t.

MLA Handbook (7th Edition):

Mochocki, Bren Christopher. “Voltage Scheduling Techniques for Dynamic Voltage Scaling Processors with Practical Limitations</h1>.” 2004. Web. 19 Apr 2019.

Vancouver:

Mochocki BC. Voltage Scheduling Techniques for Dynamic Voltage Scaling Processors with Practical Limitations</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2004. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/7d278s47p1t.

Council of Science Editors:

Mochocki BC. Voltage Scheduling Techniques for Dynamic Voltage Scaling Processors with Practical Limitations</h1>. [Masters Thesis]. University of Notre Dame; 2004. Available from: https://curate.nd.edu/show/7d278s47p1t


University of Notre Dame

19. Daniel Joseph Dentinger. ITEAMS - An Intelligent Teaching Environment with Assessment Modules for Self-Study</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2005, University of Notre Dame

  In the area of education technology, there are two categories in which instructional software can be placed: Teaching Environments and Intelligent Tutoring Systems. Teaching… (more)

Subjects/Keywords: Artificial Intelligence; Educational Software; Bayesian Networks

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APA (6th Edition):

Dentinger, D. J. (2005). ITEAMS - An Intelligent Teaching Environment with Assessment Modules for Self-Study</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/j098z893095

Chicago Manual of Style (16th Edition):

Dentinger, Daniel Joseph. “ITEAMS - An Intelligent Teaching Environment with Assessment Modules for Self-Study</h1>.” 2005. Masters Thesis, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/j098z893095.

MLA Handbook (7th Edition):

Dentinger, Daniel Joseph. “ITEAMS - An Intelligent Teaching Environment with Assessment Modules for Self-Study</h1>.” 2005. Web. 19 Apr 2019.

Vancouver:

Dentinger DJ. ITEAMS - An Intelligent Teaching Environment with Assessment Modules for Self-Study</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2005. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/j098z893095.

Council of Science Editors:

Dentinger DJ. ITEAMS - An Intelligent Teaching Environment with Assessment Modules for Self-Study</h1>. [Masters Thesis]. University of Notre Dame; 2005. Available from: https://curate.nd.edu/show/j098z893095


University of Notre Dame

20. James Richard Kramer. AgeS: An Agent System Analysis, Comparison, and Applications</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2004, University of Notre Dame

  The agent-based computing paradigm has flourished in the past few decades. As its popularity has grown, there has been a corresponding growth of agent… (more)

Subjects/Keywords: multi-agent system

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APA (6th Edition):

Kramer, J. R. (2004). AgeS: An Agent System Analysis, Comparison, and Applications</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/6h440r9855d

Chicago Manual of Style (16th Edition):

Kramer, James Richard. “AgeS: An Agent System Analysis, Comparison, and Applications</h1>.” 2004. Masters Thesis, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/6h440r9855d.

MLA Handbook (7th Edition):

Kramer, James Richard. “AgeS: An Agent System Analysis, Comparison, and Applications</h1>.” 2004. Web. 19 Apr 2019.

Vancouver:

Kramer JR. AgeS: An Agent System Analysis, Comparison, and Applications</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2004. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/6h440r9855d.

Council of Science Editors:

Kramer JR. AgeS: An Agent System Analysis, Comparison, and Applications</h1>. [Masters Thesis]. University of Notre Dame; 2004. Available from: https://curate.nd.edu/show/6h440r9855d


University of Notre Dame

21. Christopher Bensing Boehnen. A Multi-Modal Approach to Frontal and Non Frontal Facial Feature Detection</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2005, University of Notre Dame

  Biometrics are measurable characteristics specific to an individual. They can be used to identify individuals. The use of biometrics for identification has the potential… (more)

Subjects/Keywords: 3D Imaging; 3D Face; feature; Accuracy; 3D Scanning; biometrics; multi-modial

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APA (6th Edition):

Boehnen, C. B. (2005). A Multi-Modal Approach to Frontal and Non Frontal Facial Feature Detection</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/h128nc6074f

Chicago Manual of Style (16th Edition):

Boehnen, Christopher Bensing. “A Multi-Modal Approach to Frontal and Non Frontal Facial Feature Detection</h1>.” 2005. Masters Thesis, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/h128nc6074f.

MLA Handbook (7th Edition):

Boehnen, Christopher Bensing. “A Multi-Modal Approach to Frontal and Non Frontal Facial Feature Detection</h1>.” 2005. Web. 19 Apr 2019.

Vancouver:

Boehnen CB. A Multi-Modal Approach to Frontal and Non Frontal Facial Feature Detection</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2005. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/h128nc6074f.

Council of Science Editors:

Boehnen CB. A Multi-Modal Approach to Frontal and Non Frontal Facial Feature Detection</h1>. [Masters Thesis]. University of Notre Dame; 2005. Available from: https://curate.nd.edu/show/h128nc6074f


University of Notre Dame

22. James Edward Gentile. Evaluations and Innovations in Face Detection</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2008, University of Notre Dame

  Face detection is the first step in an automated system that identifies individuals based on their face’s appearance. Detection is not trivial because the… (more)

Subjects/Keywords: profile; pattern recognition; face detection; learning

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APA (6th Edition):

Gentile, J. E. (2008). Evaluations and Innovations in Face Detection</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/9z902z1300c

Chicago Manual of Style (16th Edition):

Gentile, James Edward. “Evaluations and Innovations in Face Detection</h1>.” 2008. Masters Thesis, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/9z902z1300c.

MLA Handbook (7th Edition):

Gentile, James Edward. “Evaluations and Innovations in Face Detection</h1>.” 2008. Web. 19 Apr 2019.

Vancouver:

Gentile JE. Evaluations and Innovations in Face Detection</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2008. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/9z902z1300c.

Council of Science Editors:

Gentile JE. Evaluations and Innovations in Face Detection</h1>. [Masters Thesis]. University of Notre Dame; 2008. Available from: https://curate.nd.edu/show/9z902z1300c


University of Notre Dame

23. Richard Cameron Murphy. Traveling Threads: A New Multithreaded Execution Model</h1>.

Degree: PhD, Computer Science and Engineering, 2006, University of Notre Dame

  Computer architecture is plagued by the von Neumann bottleneck. This work introduces and evaluates the traveling thread execution model in which threads mi- grate… (more)

Subjects/Keywords: traveling threads; computer architecture; multithreaded architecture

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APA (6th Edition):

Murphy, R. C. (2006). Traveling Threads: A New Multithreaded Execution Model</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/gm80ht27324

Chicago Manual of Style (16th Edition):

Murphy, Richard Cameron. “Traveling Threads: A New Multithreaded Execution Model</h1>.” 2006. Doctoral Dissertation, University of Notre Dame. Accessed April 19, 2019. https://curate.nd.edu/show/gm80ht27324.

MLA Handbook (7th Edition):

Murphy, Richard Cameron. “Traveling Threads: A New Multithreaded Execution Model</h1>.” 2006. Web. 19 Apr 2019.

Vancouver:

Murphy RC. Traveling Threads: A New Multithreaded Execution Model</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2006. [cited 2019 Apr 19]. Available from: https://curate.nd.edu/show/gm80ht27324.

Council of Science Editors:

Murphy RC. Traveling Threads: A New Multithreaded Execution Model</h1>. [Doctoral Dissertation]. University of Notre Dame; 2006. Available from: https://curate.nd.edu/show/gm80ht27324

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