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Semi-Supervised Multi-View Feature Selection Via Manifold Steerable Pseudo-Label Learning

https://doi.org/10.2139/ssrn.4683588
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Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning
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Orthogonal Laplacianfaces for Face Recognition
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Cross-Attentional Spatio-Temporal Semantic Graph Networks for Video Question Answering
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Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight
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Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition
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Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression
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Multi-View Scaling Support Vector Machines for Classification and Feature Selection
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Adaptive Similarity Embedding for Unsupervised Multi-View Feature Selection
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Query-Adaptive Late Fusion for Hierarchical Fine-Grained Video-Text Retrieval
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Semi-Supervised Multi-View Deep Discriminant Representation Learning
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Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data
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Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
inferredcites →https://doi.org/10.2139/ssrn.4386931openalex-extracted
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Semi-supervised Feature Selection via Rescaled Linear Regression
inferredcites →https://doi.org/10.24963/ijcai.2018/285openalex-extracted
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inferredcites →https://doi.org/10.24963/ijcai.2020/416openalex-extracted
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An introduction to variable and feature selection
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