TAU MIPLAB at ImageClef 2008

CEUR Workshop Proceedings

Volumn 1174, Issue , 2008, Pages

  Avni, U ^a   Goldberger, J ^b   Greenspan, H ^a  

^a TEL AVIV UNIVERSITY   (Israel)

^b BAR ILAN UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL LIBRARIES; FEATURE EXTRACTION; GRAPHIC METHODS; IMAGE PROCESSING; IMAGE RESOLUTION; MEDICAL IMAGING; STATISTICAL METHODS;

BAG OF WORDS; IMAGE REPRESENTATIONS; MEDICAL ANNOTATION; MEDICAL RETRIEVAL; MEDICAL RETRIEVAL TASKS; RETRIEVAL SYSTEMS; TEL AVIV UNIVERSITY; VISUAL WORD;

MEDICAL IMAGE PROCESSING;

EID: 84921992653     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Leung, T. & Malik, J. (2001). Representing and recognizing the visual appearance of materials using three-dimensional textons. IJCV, 43(1), 29-44.
2. Varma, M. & Zisserman, A. (2003) Texture classification: are filter banks necessary? In CVPR03, pages II: 691-698.
3. Sivic, J. & Zisserman, A. (2003) "Video Google: A Text Retrieval Approach to Object Matching in Videos", Proc. Ninth Int'l Conf. Computer Vision, pp. 1470-1478.
4. Fei-Fei, L. & Perona, P. (2005). A Bayesian Hierarchical Model for Learning Natural Scene Categories. Proc. of IEEE Computer Vision and Pattern Recognition: 524-531.
5. Nowak E. et al. (2006). Sampling strategies for bag-of-features image classification. In ECCV 06, 406-503.
6. Jiang Y-G, Ngo C-W & Yang J. (2007): Towards optimal bag-of-features for object categorization and semantic video retrieval. CIVR 2007: 494-501
7. Lowe. D. (1999) Object recognition from local scale-invariant features. In Proc. ICCV, pages 1150-1157.
8. Bishop, C. M. (1995). Neural Networks for Pattern Recognition. Oxford University Press.
9. Vapnik, V. (1995). The Nature of Statistical Learning Theory. Springer Verlag, New York.
10. Tommasi, T., Orabona, F. & Caputo, B. (2007) CLEF2007 Image Annotation Task: an SVM-based Cue Integration Approach. In Working Notes of the 2007 CLEF Work-shop, Budapest, Hungary.
11. Deselaers, T. et al. (2006). Sparse patch-histograms for object classification in cluttered images. In DAGM 2006, Lecture Notes in Computer Science, Berlin, Germany, 4174, 202-211.
12. C. Buckley, E. M. Voorhees (2004) Retrieval evaluation with incomplete information. SIGIR 2004: 25-32
13. T. Lin, C.-J. Lin, and R. C. Weng. (2007) A Note on Platt's Probabilistic Outputs for Support Vector Machines. Machine Learning, 68(3), 267-276.