[CS131] Lecture 12 Face Recognition & Dimensionality Reduction
根據 Stanford CS131 課程寫的筆記（大部分爲 note 翻譯），英語水平一般，如有錯誤請評論指正 Lecture 12 Face Recognition & Dimensionality Reduction Overview and Motivation Overview 維度減少是用於減少特徵數的一個過程，可以提高效率。主要有兩種方法：奇異值分解 (Singular Value D
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相關文章
- 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(降維)
- 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