Class incremental learning with KL constraint and multi-strategy exemplar selection for classification based on MMFA model
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Publication:6588432
DOI10.1016/J.INS.2024.121266zbMATH Open1543.68319MaRDI QIDQ6588432
Publication date: 15 August 2024
Published in: Information Sciences (Search for Journal in Brave)
classificationclass incremental learning (CIL)exemplar selectionKullback-Leibler constraintmax-margin factor analysis (MMFA)
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Backpropagation and stochastic gradient descent method
- Sur les fonctions convexes et les inégalités entre les valeurs moyennes.
- Infinite max-margin factor analysis via data augmentation
- Data augmentation for support vector machines
- Radar HRRP Statistical Recognition: Parametric Model and Model Selection
- Sticky Hidden Markov Modeling of Comparative Genomic Hybridization
- Noise Robust Radar HRRP Target Recognition Based on Multitask Factor Analysis With Small Training Data Size
- A two-distribution compounded statistical model for Radar HRRP target recognition
- Overcoming catastrophic forgetting in neural networks
- Bayesian sparse joint dynamic topic model with flexible lead-lag order
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