I want to learn about Volterra classifiers in-depth to understand the following papers Papers

  1. https://openaccess.thecvf.com/content_cvpr_2014/papers/Kang_Convolutional_Neural_Networks_2014_CVPR_paper.pdf
  2. https://www.researchgate.net/publication/51855543_Trainable_Convolution_Filters_and_Their_Application_to_Face_Recognition#:~:text=Each%20Volterra%20classifier%20is,has%20a%20three%2Dtiered%20architecture. I planning to do a mini project and want to understand these papers. Need introductory materials for better understanding
  • $\begingroup$ As was hinted when you asked on AI.SE, we expect you to research the topic on your own before asking, summarize what you've found and provide background to make the question useful for others, and use that to craft a more narrowly focused question. See also cs.stackexchange.com/help/how-to-ask. It looks like you've found the paper that introduced the idea of Volterra classifiers, so I'm not sure what other introductory materials you're expecting. $\endgroup$
    – D.W.
    Jan 1 '21 at 21:22
  • $\begingroup$ The title you have chosen is not well suited to representing your question. Please take some time to improve it; we have collected some advice here. Thank you! $\endgroup$
    – D.W.
    Jan 1 '21 at 21:23

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