Semantic hierarchies for recognizing objects and parts

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Epshtein, Boris ^a   Ullman, Shimon ^a  

^a WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; HIERARCHICAL SYSTEMS; OBJECT RECOGNITION; STATISTICAL METHODS;

SEMANTIC HIERARCHY;

SEMANTICS;

EID: 34948909168     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383086     Document Type: Conference Paper

References (12)

1. F. Scalzo, J. Piater "Statistical Learning of Visual Feature Hierarchies", IEEE Workshop on Learning in CVPR 2005
2. G. Bouchard, B. Triggs, "Hierarchical Parts-Based Visual Object Categorization", CVPR 2005
3. B. Epshtein, S. Ullman, "Feature Hierarchies for Object Classification", ICCV, 2005
4. T. Serre, L. Wolf, T. Poggio, "Object Recognition with Features Inspired by Visual Cortex", CVPR 2005
5. Y. LeCun, B. Boser, J.S. Denker, D. Henderson, R.E. Howard, W. Hubbard, L.D. Jackel, "Backpropagation applied to handwritten zip code recognition", Neural Comp. 1 (4), 541-551, 1989.
6. B. Epshtein, S. Ullman, "Identifying semantically Equivalent Object Fragments", CVPR, 2005
7. J. Pearl, "Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference", Morgan Kaufmann, 1988.
8. A. Dempster, N. Laird, D. Rubin. "Maximum likelihood from incomplete data via the EM algorithm". Journal of the Royal Statistical Society, Series B, 39(1): 1-38, 1977
9. R. Neal, G. Hinton,. "A view of the EM algorithm that justifies incremental, sparse, and other variants". In Michael I. Jordan (editor), Learning in Graphical Models pp 355-368. Cambridge, MA: MIT Press, 1999
10. www.vision.caltech.edu/Image_Datasets/Caltech101/Caltech101.html
11. http://www.kasrl.org/jaffe.html
12. A. Gelman, J. Carlin, H. Stern, D. Rubin. "Bayesian Data Analysis", 2nd edition. CRC Press, 2003