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GMM Discriminant Analysis with Noisy Label for Each Class
Real world datasets often contain noisy labels, and learning from such datasets using standard classification approaches may not produce the desired performance.
Bilevel Online Deep Learning in Non-stationary Environment
In this paper, we proposed a new Bilevel Online Deep Learning (BODL) framework, which combine bilevel optimization strategy and online ensemble classifier.
Multi-view Subspace Adaptive Learning via Autoencoder and Attention
Multi-view learning can cover all features of data samples more comprehensively, so multi-view learning has attracted widespread attention.
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