Pattern Classification | |
| מחבר: Author: Автор: مؤلف: | Richard O. Duda, Peter E. Hart, and David G. Stork |
| הוצאה לאור: Published by: Издательство: دار نشر: | John Wiley |
| הערות: Notes: Примечания: ملاحظات: | Second Edition, 2001. |
An introduction to support vector machines (and other kernel-based learning methods) | |
| מחבר: Author: Автор: مؤلف: | Nello Cristianini and John Shawe-Taylor |
| הוצאה לאור: Published by: Издательство: دار نشر: | Cambridge University Press, Cambridge UK, 2000. |
High level Vision | |
| מחבר: Author: Автор: مؤلف: | Shimon Ullman |
| הוצאה לאור: Published by: Издательство: دار نشر: | The MIT Press, 1996 |
Geometric Invariance in Computer Vision | |
| מחבר: Author: Автор: مؤلف: | J.L. Mundy and A. Zisserman (eds.) |
| הוצאה לאור: Published by: Издательство: دار نشر: | The MIT Press, Cambridge, Massachusetts 1992. |
Papers | |
| Basic PCA Theory | |
| הערות: Notes: Примечания: ملاحظات: | Turk, M. and Pentland, A. (1991). Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71--86. H. Murase and S. K. Nayar, Visual Learning and Recognition of 3D Objects from Appearance, International Journal of Computer Vision, Vol. 14, No. 1, pp. 5-24, 1995. Peter N. Belhumeur, Joao Hespanha and David J. Kriegman, Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, ECCV,pp.45-58,1996, url = citeseer.nj.nec.com/belhumeur96eigenfaces.html De la Torre, F. and Black, M. J., Robust principal component analysis for computer vision,Int. Conf. on Computer Vision, ICCV-2001, Vancouver, R. Goldenberg, R. Kimmel, E. Rivlin, M. Rudzsky , Dynamism of a Dog on a Leash or Behavior Classification by Eigen-decomposition of Periodic Motions, ECCV 2002 T. Steinherz, N. Intrator and E. Rivlin. Skew Correction via Principal Component Analysis. In Proceedings International Conference on Documents Analysis and Recognition, pages xxx-yyy, 1999. |
Papers | |
| Basic SVM Theory | |
| הערות: Notes: Примечания: ملاحظات: | Christopher J.C. Burges, A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, vol. 2, num. 2, pp. 121-167, 1998, url =citeseer.nj.nec.com/article/burges98tutorial.html |
Projects (to prepare in pairs) | |
| Articles for projects | |
| הערות: Notes: Примечания: ملاحظات: | E. Rivlin, M. Rudzsky ,R Goldenberg,U. Bogomolov, S. Lepchev, A Real-Time System for Classification of Moving Objects, sent to ICPR-2002, R. Goldenberg, R. Kimmel, E. Rivlin, M. Rudzsky , Dynamism of a Dog on a Leash or Behavior Classification by Eigen-decomposition of Periodic Motions, ECCV 2002 Baback Moghaddam, Alex Pentland, Probabilistic Visual Learning for Object Representation IEEE Transactions on Pattern Analysis and Machine Intelligence vol.19, n.7 pp. 696-710, 1997. M.H. Yang, N., Ahuja, D. Kriegman, Face Recognition Using Kernel Eigenfaces, Int. Conf. on Image Processing, 2000, vol. 1, pp. 37-40 M. Betke and N. C. Makris, Recognition, Resolution, and Complexity of Objects Subject to Affine Transformations, International Journal of Computer Vision 44(1), 5-40,2001 Usage of Hidden Markov Models in different approaches: segmentation-based and segmentation-free: 1. M.Y. Chen, A. Kundu and J. Zhou. Off-line Handwritten Word Recognition Using a Hidden Markov Model Type Stochastic Network. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(5):481:496, 1994. 2. M. Mohamed and P. Gader. Handwritten Word Recognition Using Segmentation-Free Hidden Markov Modeling and Segmentation-Based Dynamic Programming Techniques. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(5):548:554, 1996. |
Papers | |
| Basic Hidden Markov Model | |
| הערות: Notes: Примечания: ملاحظات: | L. R. Rabiner. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. IEEE Proceedings 77(2):257-286, 1989. |