首页    期刊浏览 2024年11月26日 星期二
登录注册

文章基本信息

  • 标题:The Efficient SVM Kernel Method for Image Compression and Image Recognition
  • 作者:A.Athiraja ; A.Baranidharan ; D.Nagendra Kumar
  • 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:2012
  • 卷号:2
  • 期号:3
  • 页码:55-60
  • 出版社:Association of Computer Communication Education for National Triumph (ACCENT)
  • 摘要:SVM have met the significant success in numerous real-world applications. The SVM is widely used classifier. Obtaining the best result with SVM requires an understanding of their working and various ways a user an influence their accuracy, so we provide the concept about the SVM algorithm. We introduce a algorithm for performing image compression based on the SVM algorithm. This algorithm is used to form the clustering. We also to use the SVM algorithm for image recognition application.
  • 关键词:SVM algorithm or classifier; image compression; clustering; image recognition .
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有