Opto-Electronic Engineering, Volume. 32, Issue 8, 48(2005)
Texture recognition with support vector machines
References(5)
[1] [1] Andrew LAINE,Jian FAN. Texture classification by wavelet packet signatures[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence,1993,15(11):1186-1191.
[2] [2] Dimitrios CHARALAMPIDIS,Takis KASPARIS. Wavelet-based rotational invariant roughness features for texture classification and segmentation[J]. IEEE Trans. on Image Processing,2002,11(8):825-837.
[3] [3] Chih-Wei HSU,Chih-Jen LIN. A comaprison of methods for multiclass support vector machines[J]. IEEE Trans. on Neural Networks,2002,13(2):415-425.
[4] [4] Vladimir N. VAPNIK. An Overview of Statistical Learning Theory [J]. IEEE Trans. on Neural Networks,1999,10(5):988-999.
[5] [5] Terry WINDEATT,Reza GHADERI. Coding and decoding strategies for multi-class learning problems [J]. Information Fusion,2003,4(1):11-21.
Tools
Get Citation
Copy Citation Text
[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Texture recognition with support vector machines[J]. Opto-Electronic Engineering, 2005, 32(8): 48
Paper Information
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20