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PCA, SVD, and Centering of Data
The research detailed in this paper scrutinizes Principal Component Analysis (PCA), a seminal method employed in statistics and machine learning for the purpose of reducing data dimensionality.
Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image
In this work, we propose a self-supervised learning method that learns bidirectional disparity by utilizing the nature of anisotropic blur kernels in dual-pixel photography.
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