Multi-matrices entropy discriminant ensemble learning for imbalanced problem
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DOI: 10.1007/s00521-019-04306-6
Abstract: The objective of this paper is to make an improvement on ensemble learning for imbalanced problem. Multi-matrices approach and nearest entropy are introduced into model of base classifier for the sake of utilizing spatial information… read more here.
Keywords: learning imbalanced; matrices entropy; imbalanced problem; multi matrices ... See more keywords
Multi-Matrices Low-Rank Decomposition With Structural Smoothness for Image Denoising
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2890880
Abstract: In this paper, we propose a multi-matrices low-rank decomposition method for image denoising. In this new method, the total variation (TV) norm is incorporated into low-rank approximation analysis to achieve structural smoothness and to improve… read more here.
Keywords: rank decomposition; low rank; rank; structural smoothness ... See more keywords