Discriminant Kernel Assignment for Image Coding.
IEEE Transactions on Cybernetics(2017)
摘要
This paper proposes discriminant kernel assignment (DKA) in the bag-of-features framework for image representation. DKA slightly modifies existing kernel assignment to learn width-variant Gaussian kernel functions to perform discriminant local feature assignment. When directly applying gradient-descent method to solve DKA, the optimization may contain multiple time-consuming reassignment implement...
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关键词
Kernel,Histograms,Optimization,Dictionaries,Image coding,Integrated circuits,Jacobian matrices
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