Reviews: Manifold denoising by Nonlinear Robust Principal Component Analysis
–Neural Information Processing Systems
After rebuttal: I would like to thank the authors for addressing the comments. Their responses helped clarify some of my questions and helped better understand the paper, and therefore I am glad to increase my score. I am glad that the authors have decided to add the derivations in Sect. There are a few other things that I hope the authors will address for the final version of the paper: 1. Limitations of the method 2. Short introduction to RPCA 3. Related work as mentioned in the initial review. The discussion on kNN vs \epsNN on stability from the authors' response is very helpful and would be useful to add it to the paper, otherwise it's still not clear why wouldn't the method use all the points in \epsNN (within radius r1).
Neural Information Processing Systems
Jan-26-2025, 07:34:16 GMT