Texture recognition with support vector machines

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Journals >Opto-Electronic Engineering >Volume 32 >Issue 8 >Page 48 > Article

Opto-Electronic Engineering
Vol. 32, Issue 8, 48 (2005)

Texture recognition with support vector machines

[in Chinese]¹, [in Chinese]¹, [in Chinese]¹, and [in Chinese]²

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¹[in Chinese]

²[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Texture recognition with support vector machines[J]. Opto-Electronic Engineering, 2005, 32(8): 48 Copy Citation Text

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References

[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] 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] 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] Vladimir N. VAPNIK. An Overview of Statistical Learning Theory [J]. IEEE Trans. on Neural Networks,1999,10(5):988-999.

[5] Terry WINDEATT,Reza GHADERI. Coding and decoding strategies for multi-class learning problems [J]. Information Fusion,2003,4(1):11-21.

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Texture recognition with support vector machines[J]. Opto-Electronic Engineering, 2005, 32(8): 48

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