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A robust multi-view clustering method for community detection combining link and content information

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A Novel Technique of Using Coupled Matrix and Greedy Coordinate Descent for Multi-view Data Representation

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CCA based multi-view feature selection for multi-omics data integration

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Mutual Information-Driven Multi-View Clustering

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Imputation of missing values in multi-view data

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Subspace-Contrastive Multi-View Clustering

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HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction

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New Approaches in Multi-View Clustering

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Human Collective Intelligence Inspired Multi-View Representation Learning — Enabling View Communication by Simulating Human Communication Mechanism

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A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition

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A Multi-view Convolutional Neural Network Approach for Image Data Classification

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MVD-Net: Semantic Segmentation of Cataract Surgery Using Multi-View Learning

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Intuitionistic fuzzy multi-view support vector machines with universum data

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Multiview Large Margin Distribution Machine

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Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction

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Graph-Driven deep Multi-View Clustering with self-paced learning

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Multiview-Ensemble-Learning-Based Robust Graph Convolutional Networks Against Adversarial Attacks

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Empowering Anomaly Detection in IoT Traffic Through Multiview Subspace Learning

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Incomplete-view oriented kernel learning method with generalization error bound

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Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering

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A multi-view-based noise correction algorithm for crowdsourcing learning

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DRIBO: Robust Deep Reinforcement Learning via Multi-View Information BottleneckPreprint

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Learning Compact Semantic Information and Reliable Pseudo-Labels for Incomplete Multi-View Multi-Label Classification

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Transductive Multiview Modeling With Interpretable Rules, Matrix Factorization, and Cooperative Learning

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Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning

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Side-constrained graph fusion for semi-supervised multi-view clustering

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Discovering common information in multi-view data

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Multi-view neutrosophic c -means clustering algorithms

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Multi-relational multi-view clustering and its applications in cancer subtype identification

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Multi-view structural twin support vector machine with the consensus and complementarity principles and its safe screening rules

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Unsupervised multi-view representation learning with proximity guided representation and generalized canonical correlation analysis

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Multi-View Robust Feature Learning for Data Clustering

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Multi-view Low-rank Preserving Embedding: A novel method for multi-view representation

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Exploring Multi‐dimensional Data via Subset Embedding

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A Multiview Clustering Method With Low-Rank and Sparsity Constraints for Cancer Subtyping

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