Painter identification using local features and naive Bayes

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 2, 2002, Pages 474-476

  Keren, Daniel ^a  

^a UNIVERSITY OF HAIFA   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; FEATURE EXTRACTION; HUMAN COMPUTER INTERACTION; IMAGE ANALYSIS; PARAMETER ESTIMATION; PATTERN RECOGNITION;

BAYES CLASSIFIER; IMAGE CLASSIFICATION; NAIVE BAYES; PAINTER IDENTIFICATION;

ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS; IMAGE CLASSIFICATION;

HUMAN PERCEPTION; IMAGE BLOCKS; LOCAL FEATURE; MAJORITY VOTE; NAIVE BAYES; NAIVE BAYES CLASSIFIERS; OUTDOOR SCENES; TRAINING SETS;

EID: 15344345776     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. M. Bell and W. Freeman. Learning local evidence for shading and reflectance. In ICCV01, pages I: 670-677, 2001.
2. J. de Bonet and P. Viola. Texture recognition using a non-parametric multi-scale statistical model. In CVPR98. pages 641-647, 1998.
3. S. T. Dumais, J. Platt, D. Hecherman, and M. Sahami. Inductive learning algorithms and representations for text categorization. In Proc. 7th International Conference on Information and Knowledge Management CIKM, pages 148-155, 1998.
4. D. Keren and M. Werman. Probabilistic analysis of regularization. IEEE Trans. on Pattern Analysis and Machine Intelligence, 15:982-995, October 1993.
5. D. Lewis. Naive bayes at forty: The independence assumption in information retrieval. In Proc. 10th European Conference on Machine Learning ECML-98, pages 4-15, 1998.
6. M. Pontil and A. Verri. Support vector machines for 3D object recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(6):637-646, 1998.
7. E. Simoncelli and E. Adelson. Noise removal via bayesian wavelet coring. In IEEE International Conference on Image Processing, pages 1: 379-382, 1996.
8. K. Tieu and P. Viola. Boosting image retrieval. In CVPR00, pages 1:228-235, 2000.
9. S. Ullman, E. Sali, and M. Vidal-Naquet. Fragment-based approach to object representation and classification. In Visual Form 2001, 4th International Workshop on Visual Form, IWVF-4, Capri, May 2001, volume 2059 of Lecture Notes in Computer Science, pages 85-102. Springer, 2001.