To address the size of the course, paper presentations will be performed as group presentations with groups of 3 students preparing a joint presentation for a paper during which each of the group members is to present a part. In addition to the presentation in class, the group is to hand in a set of slides from their presentation.
Presentations will be 15 minutes long (plus 5 minutes for questions). The main
goal of the presentations should be to present and discuss different
applications and techniques in uncertainty reasoning with a particular focus
on how the techniques are applied in differrent contexts. Your presentation should include a basic description of the paper and the techniques used as well as your assessment and analysis thereof. (Keep in mind that your
presentations should be aimed at your classmates and not assume any
prerequisites beyond this course and the prerequisites to this course).
The following is a list of example papers for student presentations. If you
want to present one of these papers and have a group, please let me know as soon as possible.
If you have a different paper you would like to present, let me know what the
paper is. If you need help forming a group, please let me know.
- Takeda, Hiroyuki, Sina Farsiu, and Peyman Milanfar. "Kernel regression for image processing and reconstruction." Image Processing, IEEE Transactions on 16.2 (2007): 349-366.
- Ramadas, Manikantan, Shawn Ostermann, and Brett Tjaden. "Detecting anomalous network traffic with self-organizing maps." Recent Advances in Intrusion Detection. Springer Berlin Heidelberg, 2003.
- Mallapragada, Pavan Kumar, et al. "Semiboost: Boosting for semi-supervised learning." Pattern Analysis and Machine Intelligence, IEEE Transactions on 31.11 (2009): 2000-2014.
Presentations will be on the following dates. To sign up, please send email to the instructor. In order to keep papers grouped by topic area, final time slot
assignments can not be guaranteed to match your preferences.
- Mohsen Kheirandishfard, Fariba Zohrizadeh, Farahnaz Akrami : Lim, Jasmine J., C. Lawrence Zitnick, and Piotr Dollar. "Sketch tokens: A learned mid-level representation for contour and object detection." Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on. IEEE, 2013.
- Michail Theofanidis, Mohammed Azmat, ? : Tesauro, Gerald. "Programming backgammon using self-teaching neural nets." Artificial Intelligence 134.1 (2002): 181-199.
- Rajeshkumar Kannapalli, Divendar Murtadak, Vishal Dholakia : McAuley, Julian, Jure Leskovec, and Dan Jurafsky. "Learning attitudes and attributes from multi-aspect reviews." Data Mining (ICDM), 2012 IEEE 12th International Conference on. IEEE, 2012.
- Alex Dillhoff, Mudit Pradhan, Srujana Gattupalli: A. Toshev and C. Szegedy, "Deeppose: Human pose estimation via deep neural networks," CoRR, vol. abs/1312.4659, 2013.
- Md Abdus Salam, Harish Gitta, Vivek Kaushal: Shepitsen, Andriy, et al. "Personalized recommendation in social tagging systems using hierarchical clustering." Proceedings of the 2008 ACM conference on Recommender systems. ACM, 2008.
- Yankai Su, Philip Bailey, Sven Cremer: Ho, Tin Kam (1998). "The Random Subspace Method for Constructing Decision Forests" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (8): 832-844.
- Nhat Tran, Borzou Alipourfard, Jason Jennings: Ming-Hsuan Yang, "Kernel Eigenfaces vs. Kernel Fisherfaces: Face Recognition Using Kernel Methods," 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), p. 0215, Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FG'02), 2002
- Baranidharan Sridhar, Koushik M Chandramouleeswaran, Shruti Madan : Valenti, Roberto, et al. "Machine learning techniques for face analysis." Machine Learning Techniques for Multimedia. Springer Berlin Heidelberg, 2008. 159-187.
- Shridhar Manvi, Rohit Bhoopalam, Sharath Vasanthakumar: Qi, Xiaoguang, and Brian D. Davison. "Web page classification: Features and algorithms." ACM Computing Surveys (CSUR) 41.2 (2009): 12.
- Nikit Lonari, Rahul Singh Chouhan, Suhas Reddy : Jae H. Min, Young-Chan Lee, Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters, Expert Systems with Applications, Volume 28, Issue 4, May 2005, Pages 603-614.
- Jasmine Kaur Grewal, Jvalin Dave, Navya Jagadish : ?
- Rohan Shimpi, Aniket Patil, Suyog Swami : Zhao, Ying, George Karypis, and Usama Fayyad. "Hierarchical clustering algorithms for document datasets." Data mining and knowledge discovery 10.2 (2005): 141-168.