Robust Kernel Principal Component Analysis  Poster ID: 
M.H. Nguyen & F. De la Torre ­ Carnegie Mellon University

W44

Problems

Solution
Robust Kernel PCA

Results

novelty

noise

missing data Compared with Traditional Kernel PCA outliers