发明申请
US20060112095A1 User preference techniques for support vector machines in content based image retrieval 失效
基于内容的图像检索中支持向量机的用户偏好技术

  • 专利标题: User preference techniques for support vector machines in content based image retrieval
  • 专利标题(中): 基于内容的图像检索中支持向量机的用户偏好技术
  • 申请号: US11243501
    申请日: 2005-10-03
  • 公开(公告)号: US20060112095A1
    公开(公告)日: 2006-05-25
  • 发明人: Hua XieAntonio Ortega
  • 申请人: Hua XieAntonio Ortega
  • 主分类号: G06F17/30
  • IPC分类号: G06F17/30
User preference techniques for support vector machines in content based image retrieval
摘要:
Searching multimedia information which allows determining preferences based on very little amounts of data. The preferences are nonparametrically determined. Each preference is quantized into one of a plurality of bins. By doing the quantization, the distances between positive and negative samples are increased. The quantization amount may change depending on the number of samples which are used. The quantization can be used in a support vector machine or the like.
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