Abstract：In this paper, a new technique coined two-dimensional principal component analysis (2DPCA) is developed for image representation. As opposed to PCA, 2DPCA is based on 2D image matrices rather than 1D vectors so the image matrix does not nee
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Mathematics for Machine Learning，作者是Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong
这本书的书签应该是正确的Contents
List of illustrations
Foreword
Part i Mathematical Foundations
1 Introduction and motivation
11
1.1 Finding Words for Intuitions
12
1.2 Two
In this paper, we propose a new image fusion algorithm based on two-dimensional Scale-Mixing Complex Wavelet Transform (2D-SMCWT). The fusion of the detail 2D-SMCWT coefficients is performed via a Bayesian Maximum a Posteriori (MAP) approach by consi
