Online Algorithm for Robust Kernel PCA

We introduce a technique to improve the online kernel PCA (KPCA) robust to outliers due to undesirable artifacts such as noises, alignment errors, or occlusion. The proposed online robust KPCA (rKPCA) links the online updating and robust estimation of principal directions. It inherits good properties from these two ideas for reducing the time complexity… CONTINUE READING