[CS131] Lecture 12 Face Recognition & Dimensionality Reduction
根据 Stanford CS131 课程写的笔记（大部分为 note 翻译），英语水平一般，如有错误请评论指正 Lecture 12 Face Recognition & Dimensionality Reduction Overview and Motivation Overview 维度减少是用于减少特征数的一个过程，可以提高效率。主要有两种方法：奇异值分解 (Singular Value D
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相关文章
- 1. [CS131] Lecture 13 Face Recognition and LDA
- 2. [CS131] Lecture 11 Object Recognition
- 3. [Scikit-learn] 2.5 Dimensionality reduction - ICA
- 4. [UFLDL] Dimensionality Reduction
- 5. Dimensionality Reduction(降维)
- 6. [Scikit-learn] 4.4 Dimensionality reduction - PCA
- 7. [CS131] Lecture 17 Motion
- 8. [CS131] Lecture 18 Tracking
- 9. Nonlinear Dimensionality Reduction by Locally Linear Embedding
- 10. [CS131] Lecture 15 Detecting Objects by Parts