文章基本信息

标题：The Efficient SVM Kernel Method for Image Compression and Image Recognition
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作者：A.Athiraja ; A.Baranidharan ; D.Nagendra Kumar 等
期刊名称：International Journal of Advanced Computer Research
印刷版ISSN：2249-7277
电子版ISSN：2277-7970
出版年度：2011
卷号：2011
出版社：Association of Computer Communication Education for National Triumph (ACCENT)
摘要：SVM have met t he signi ficant success in numerous real -world ap plications. The SVM is wi dely used cla ssifier. Obtaining the b est result wi th SVM requires an understa nding of thei r wo rking and va rious wa ys a user an influence their a ccuracy, so we provide the concept a bout the SVM a lgori thm. We introduce a algorithm fo r performing ima ge comp ression based on the SVM a lgorithm. Thi s alg orithm is used to fo rm t he clustering . We also to use the SVM al gorit hm for image reco gnit ion a pplicatio n
关键词：SVM algorithm or classi fier; image compression; ;cl usteri ng; i mage recogniti on