deep learning: chapter 13

13.1 Probabilistic PCA and Factor Analysis

13.2 Independent Component Analysis (ICA)

13.3 Slow Feature Analysis

13.4 Sparse Coding

$$% <![CDATA[ begin{eqnarray} h^* &=& arg max_h p(h | x) \ &=& arg max_h lambda ||h||_1 + beta || x - Wh ||_2^2 \ end{eqnarray} %]]>$$

13.5 Manifold Interpretation of PCA