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» A Comparison of Texture Features Based on SVM and SOM
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ICPR
2006
IEEE
14 years 5 months ago
A Comparison of Texture Features Based on SVM and SOM
Experimental results of texture features derived from Gabor and other four wavelet transforms classified and clustered based on Support Vector Machine (SVMs) and Self-Organizing M...
Chaur-Chin Chen, Chien-Chang Chen, Chih-Ming Chen
BMEI
2008
IEEE
13 years 11 months ago
Color and Position versus Texture Features for Endoscopic Polyp Detection
This paper presents a comparison of texture based and color and position based methods for polyp detection in endoscopic video images. Two methods for texture feature extraction t...
Luís A. Alexandre, Nuno Nobre, João ...
ACSW
2004
13 years 6 months ago
Visualisation and Comparison of Image Collections based on Self-organised Maps
Self-organised maps (SOM) have been widely used for cluster analysis and visualisation purposes in exploratory data mining. In image retrieval applications, SOMs have been used to...
Da Deng, Jianhua Zhang, Martin K. Purvis
DICTA
2007
13 years 6 months ago
An in Depth Comparison of Four Texture Segmentation Methods
Texture segmentation is the process of partitioning an image into regions with different textures containing similar group of pixels. This paper presents a comparative study of fo...
Vamsi Krishna Madasu, Prasad K. D. V. Yarlagadda
MICCAI
2004
Springer
14 years 5 months ago
Cervical Cancer Detection Using SVM Based Feature Screening
We present a novel feature screening algorithm by deriving relevance measures from the decision boundary of Support Vector Machines. It alleviates the "independence" assu...
Jiayong Zhang, Yanxi Liu