kernel canonical correlation analysis
基本解释
- [计算机科学技术]核典型相关分析
英汉例句
- Kernel Canonical Correlation Analysis(KCCA) is a recently addressed supervised machine learning methods, which is a powerful approach of extracting nonlinear features.
针对该问题,采用核典型相关分析方法进行原始特征的二次提取,得到简约而重要的二次特征。 - By introducing the kernel trick to the canonical correlation analysis(CCA), a feature fusion method based on kernel CCA(KCCA) is established and is then used to capture the associated feat.
该方法首先采集侧面视角人脸图像,然后将核方法引入到典型相关分析(CCA)中,提出基于核CCA的特征融合方法,并应用其提取人耳人脸的关联特征进行个体的分类识别。
双语例句
专业释义
- 核典型相关分析