Bil 682 Artificial Intelligence
Paper List
Date | Paper | Presenter |
| Oct 19, 2011 |
Simulated Annealing
S. Kirkpatrick; C. D. Gelatt; M. P. Vecchi, "Optimization by Simulated Annealing", Science Vol 220 No:4598, 1983.
|
Umut Erturk |
Genetic Algorithms
Srinivas, M.; Patnaik, L.M.; "Genetic algorithms: a survey", IEEE Computer, 1994 |
Farhad Soleimanian |
| Nov 2, 2011 |
Game Playing
D. Koller and A. Pfeffer (1997). "Representations and Solutions for Game-Theoretic Problems." Artificial Intelligence, 94(1), 167-215. |
Cagatay Komurcu & Umut Eryilmaz |
Game Playing
Tesauro, G. (1995). "Temporal difference learning and TD-Gammon". Communications of the ACM, 38(3), 58--68. |
Emre Gurbuz |
| Nov 16, 2011 |
Classification
T. J. Hastie and R. J. Tibshirani (1996). Discriminant adaptive nearest neighbor classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(6):607-616.
| Murat Salman |
| Nov 23, 2011 |
G. H. John, R. Kohavi, and K. Pfleger (1994). Irrelevant features and the subset selection problem. Proc. of the 11th International Conference on Machine Learning, pp. 121-129.
| Mehmet Soylemez |
|
W. W. Cohen and Y. Singer (1999). A simple, fast, and effective rule learner. In AAAI-99, Proceedings of the Sixteenth National Conference on Artifical Intelligence, pp. 335-342.
| Ezgi Erturk |
| Nov 30, 2011 |
Decision Trees
Rokach, L.; Maimon, O.; Top-down induction of decision tree classifiers - a survey, : IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Nov. 2005
| Bilge Kaan Gorur |
Ontologies
A Bayesian Methodology towards Automatic Ontology Mapping.
| Bortecin Ege |
Boosting
Paul Viola and Mike Jones, "Rapid Object Detection Using a Boosted Cascade of Simple Features, CVPR 2001.
| Yigitcan Aksari |
| Dec 7, 2011 |
Neural Networks
Henry Rowley, Shumeet Baluja, and Takeo Kanade, "Rotation Invariant Neural Network-Based Face Detection", CVPR 1998
| Serhat Turkmen |
| Y. LeCun, L. D. Jackel, L. Bottou, A. Brunot, C. Cortes, J. S. Denker, H. Drucker, I. Guyon, U. A. Muller, E. Sackinger, P. Simard and V. Vapnik: "Comparison of learning algorithms for handwritten digit recognition", International Conference on Artificial Neural Networks, 53-60, EC2 & Cie, Paris, 1995
| Tufan Coban |
Support Vector Machines
C.W. Hsu and C.J. Lin, "A comparison of methods for multiclass support vector machines", IEEE Transactions on Neural Networks, vol. 13, 2002, pp. 415-425.
| N. Baris Idil |
| S. Tong and E. Chang, "Support vector machine active learning for image retrieval", Proceedings of the ninth ACM international conference on Multimedia, ACM New York, NY, USA, 2001, pp. 107-118.
| Mustafa Karli |
| Dec 14, 2011 |
Computer Vision and Other AI Applications
Pei-Yi Hao, Jung-Hsien Chiang and Yi-Kun Tu
"Hierarchically SVM classification based on support vector clustering
method and its application to document categorization", Journal Expert
Systems with Applications, Volume 33 Issue 3, October, 2007.
| Farhad Khalilzadeh |
|
Mazurowski MA, Habas PA, Zurada JM, Lo JY, Baker JA, Tourassi GD., "Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance.", Neural Networks 2008 Mar-Apr;21(2-3):427-36.
| Mehmet Aslan |
| R. Agrawal and R. Srikant, Mining Sequential Patterns, Proc. of the Int'l Conference on Data Engineering (ICDE), Taipei, Taiwan, March 1995.
| M. Ali Sag |
| Dec 21, 2011 |
A.J. Smola and B. Scholkopf, "A tutorial on support vector regression", Statistics and Computing, vol. 14, 2004, pp. 199-222.
| Secil Ceran |
| Sivic and Zisserman, "Video Google: A Text Retrieval Approach to Object Matching in Videos", ICCV 2003.
| Ali Caglayan |
| Eric Nowak and Frederic Jurie, Learning Visual Similarity Measures for Comparing Never Seen Objects, Computer Vision and Pattern Recognition 2007 (CVPR'07)
| Aytac Cavent |
| Leibe, B., Seemann, E. and Schiele, B. (2005) Pedestrian Detection in Crowded Scenes, CVPR
| Kirhan Gokay Kocoglu |
| Lihi Zelnik-Manor and Michal Irani. Event-based video analysis. CVPR 2001
| Gokhan Tanisik |
| O. Boiman and M. Irani. Detecting irregularities in images and in video. ICCV 2005
| Orhan Dalabasmaz |
| Dec 28, 2011 |
Osi, S., Stefanowski, J., & Weiss, D. "Lingo : Search Results Clustering Algorithm Based on Singular Value
Decomposition". Organization, 25, 359. Springer Verlag 2004.
| Seyfullah Demir |
| William W. Cohen, Rob Schapire, Yoram Singer, "Learning to Order Things" in J. Artif. Intell. Res. (JAIR) 10: 243-270 (1999).
| Sinan Onur Altinuc |
| Hoiem, D., Efros, A.A. and Hebert, M. (2005) Geometric Context from a Single Image, ICCV
| Ramin Abaszadi |
| A. Gallagher and T. Chen, "Understanding Images of Groups of People",CVPR 2009
| Oguzhan Guclu |
| Boris Bobenko, Ming-Hsuan Yang, Sergei Belongie. "Visual Tracking with online Multiple Instance Learning"
| Osman Akin |
| Learning to Predict Where Humans Look, T. Judd, K. Ehinger, F. Durand, A. Torralba. ICCV 2009.
| Yalin Yalic |
| Jan 04, 2012 |
Objects in Action: An Approach for Combining Action Understanding and Object Perception. A. Gupta and L. Davis. CVPR, 2007.
| Huseyin Temucin |
|
Y. Yang and X. Liu (1999). A re-examination of text categorization methods. Proc. ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 42-49.
| Hamit Tokgoz |
| Brin, S. and Page, L. 1998. The anatomy of a large-scale hypertextual Web
search engine. In Proceedings of the Seventh international Conference on
World Wide Web (WWW-7) (Brisbane, Australia). P. H. Enslow and A. Ellis,
Eds. Elsevier Science Publishers B. V., Amsterdam, The Netherlands,
107-117.
| Ahmet Senol |
| T. Serre, L. Wolf and T. Poggio, "Object Recognition with Features Inspired by Visual Cortex", CVPR 2005.
| Yasin Kavak |
| Incremental Learning of Object Detectors Using a Visual Shape Alphabet. Opelt, Pinz, and Zisserman, CVPR 2006.
| Ibrahim Can Yuce |
| Sivic, J., Russell, B., Efros, A., Zisserman, A. and Freeman, W. Discovering Objects and their Location in Images. ICCV 2005
| Metin Uzuner |
List of papers to present
Here is a list of candidate papers to present.
Decision Trees
- Vens et al, "Decision trees for hierarchical multi-label classification", Journal of Machine Learning,
Volume 73 Issue 2, November 2008
Boosting
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Friedman, J. H., Hastie, T. and Tibshirani, R. (1998) Additive Logistic Regression: a Statistical View of Boosting
Misc
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Tom Fawcett and Foster Provost, "Adaptive Fraud Detection", Data Mining and Knowledge Discovery, Volume 1, Issue 3, 1997, 291-316.
Computer Vision
- Torralba, A., Murphy, K.P. and Freeman, W.T (in press) Sharing visual features for multiclass and multiview object detection, PAMI
- Learning Spatial Context: Using Stuff to Find Things, by G. Heitz and D. Koller, ECCV 2008.
- Landmark Classification in Large-Scale Image Collections. Y. Li, D. Crandall, D. Huttenlocher. ICCV 2009.
- "'Who are you?' - Learning Person Specific Classifiers from Video, J. Sivic, M. Everingham, and A. Zisserman, CVPR 2009.
- T. Hertz, A. Bar-Hillel and D. Weinshall, Learning Distance Functions for Image Retrieval, CVPR 2004
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