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- Read more about PRECODING MATRIX DESIGN IN LINEAR VIDEO CODING
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- Read more about REMOVING RING ARTIFACTS IN CBCT IMAGES VIA GENERATIVE ADVERSARIAL NETWORK
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Cone-beam computed tomography (CBCT) images often have some ring artifacts because of the inconsistent response of detector pixels. Removing ring artifacts in CBCT images without impairing the image quality is critical for the application of CBCT. In this paper, we explore this issue as an “adversarial problem” and propose a novel method to eliminate ring artifacts from CBCT images by using an imageto-image network based on Generative Adversarial Network (GAN).
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- Read more about INFORMATION FUSION USING PARTICLES INTERSECTION
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- Read more about A hybrid dictionary approach for distributed kernel adaptive filtering in diffusion networks
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- Read more about A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution
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- Read more about HOW SAMPLING RATE AFFECTS CROSS-DOMAIN TRANSFER LEARNING FOR VIDEO DESCRIPTION
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- Read more about Fast Projection onto the $\ell_{\infty,1}$-Mixed Norm Ball using Steffensen Root Search
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- Read more about Assessing cross-dependencies using bivariate multifractal analysis
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Multifractal analysis, notably with its recent wavelet-leader based formulation, has nowadays become a reference tool to characterize scale-free temporal dynamics in time series. It proved successful in numerous applications very diverse in nature. However, such successes remained restricted to univariate analysis while many recent applications call for the joint analysis of several components. Surprisingly, multivariate multifractal analysis remained mostly overlooked.
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- Read more about No-reference weighting factor selection for bimodal tomography
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