IEEE ICASSP 2020 Virtual Conference May 2020

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  • Distributed Tensor Completion Over Networks

    00:14:34
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    The aim of this paper is to propose a novel distributed strategy for tensor completion, where (partial) data are collected over a network of agents with sparse, but connected, topology. The method hinges on the canonical polyadic decomposition, also known
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  • Label Reuse For Efficient Semi-Supervised Learning

    00:14:26
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    In this paper, we propose a new learning strategy for semi-supervised deep learning algorithms, called label reuse, aiming to significantly reduce the expensive computational cost of pseudo label generation and the like for each unlabeled training instanc
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  • Lai-Net: Local-Ancestry Inference With Neural Networks

    00:16:24
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    Local-ancestry inference (LAI), also referred to as ancestry deconvolution, provides high-resolution ancestry estimation along the human genome. In both research and industry, LAI is emerging as a critical step in personalized DNA sequence analysis with a
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  • M-Estimators Of Scatter With Eigenvalue Shrinkage

    00:16:46
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    A popular regularized (shrinkage) covariance estimator is the shrinkage sample covariance matrix (SCM) which shares the same set of eigenvectors as the SCM but shrinks its eigenvalues toward its grand mean. In this paper, a more general approach is consid
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  • Deep Multi-Region Hashing

    00:13:55
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    Hashing has been widely used for large-scale approximate nearest neighbors retrieval own to its high efficiency. In the existing hashing methods, deep supervised hashing methods have achieved the best performance by utilizing the semantic labels on data w
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