Multi-view learning overview: Recent progress and new challenges

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Multi-view Subspace Clustering via Joint Latent Representations

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Weighted Multi-view Deep Neural Networks for Weather Forecasting

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Multi-View Learning Based on Non-Redundant Fusion for Icu Patient Mortality Prediction

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Multiview Learning for Impervious Surface Mapping Using High-Resolution Multispectral Imagery and LiDAR Data

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Dimensionality Reduction Method Apply for Multi-view Multimodal Person Identification

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Multi-View & Transfer Learning for Epilepsy Recognition Based on EEG Signals

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