DTAK-SVDD

常見(jiàn)例句

• The resulting multi-kernel SVDD could be expressed as an SDP problem, so it could be solved with the global optimal solution.
  擴(kuò)展后的多核支持向量域描述方法可以表述為半正定規(guī)劃問(wèn)題，因此可以收斂到全局最優(yōu)解。
• Abstract To efficiently resolve outlier detection problem in large scale data sets, an efficient outlier detection algorithm based on Support Vector Data Description (SVDD) was proposed.
  摘要 為了解決大規(guī)模數(shù)據(jù)中的異常檢測(cè)問(wèn)題，提出了基于支持向量數(shù)據(jù)描述(SVDD)的高效離群數(shù)據(jù)檢測(cè)算法。
• Support Vector Data Description(SVDD)
  支持向量數(shù)據(jù)描述
• support vector data description ( SVDD)
  支持向量域描述
• support vector domain description(SVDD)
  支持向量域描述
• Support vector domain description (SVDD)
  支撐向量域描述
返回 DTAK-SVDD