Automatic target recognition using new support vector machine

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2005, Pages 84-89

  Casasent, David ^a   Wang, Yu Chiang ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FREQUENCY DOMAIN ANALYSIS; HIERARCHICAL SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS;

DISCRIMINATION MACHINE; INFRA-RED (IR) DATA; SPATIAL FREQUENCY DOMAIN FEATURES;

AUTOMATIC TARGET RECOGNITION;

EID: 33745967237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1555810     Document Type: Conference Paper

References (11)

1. R. Duda, P. Hart, and D. Stork, Pattern Classification, Wiley-interscience, New York, 2000.
2. R. Anand, K. Mehrotra, C.K. Mohan, and S. Ranka, "Efficient classification for multiclass problems using modular neural networks," IEEE Trans on Neural Networks, Vol. 6, Jan 1995, pp. 117-124.
3. S. Kumar, J. Ghosh, M. Crawford, "Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis," Pattern Analysis and Applications, 5, 2002, pp. 210-220.
4. S. Kumar and J. Ghosh, "GAMLS: A generalized framework for associative modular learning systems," SPIE Conf. on Applications and Science of Computer Intelligence II, Proc. of SPIE, Vol. 3722, Orlando, FL, 1999, pp. 24-35.
5. H. Blockeel, M. Bruynooghe, S. Dzeroski, J. Ramon, and J. Struyf. Hierarchical multi-classification. In Proc. First International Workshop on Multi-Relational Data Mining, Edmonton, Canada, 2002, pp.21-35.
6. th KES, Vol. 2, Brighton, UK, Aug. 2000, 561-565.
7. C. Yuan and D. Casasent, "Support Vector Machines for Class Representation and Discrimination," Int'l Joint Conf. on Neural Networks, Portland, July 2003.
8. C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, Vol.2, No.2, 1998, 121-167.
9. Y. Q. Chen, X. S. Zhou, and T. S. Huang, "One-Class SVM for Learning in Image Retrieval," IEEE Conf. on Image Processing, 2001, pp. 34-37.
10. C. Yuan and D. Casasent, "Face recognition and imposter rejection using a new SVRDM modified support vector machine," Proc. of SPIE, Vol. 5779 (29), Orlando, FL, March 2005.
11. S. Kumar, J. Ghosh, and M. M. Crawford, "Classification of Hyperspectral Data Using Best-bases Feature Extraction Algorithms," Proc. of SPIE, Vol. 4055, Orlando, FL, March 2000, pp. 362-373.