Efficient Unsupervised Dimension Reduction for Streaming Multiview Data
IEEE Transactions on Cybernetics(2022)
摘要
Multiview learning has received substantial attention over the past decade due to its powerful capacity in integrating various types of information. Conventional unsupervised multiview dimension reduction (UMDR) methods are usually conducted in an offline manner and may fail in many real-world applications, where data arrive sequentially and the data distribution changes periodically. Moreover, sa...
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关键词
Dimensionality reduction,Correlation,Memory management,Prediction algorithms,Optimization,Training,Data models
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