Abstract: Continual learning aims to enable models to progressively acquire knowledge from novel classes while preserving existing knowledge without catastrophic forgetting of old classes. To achieve ...
Abstract: Space-time adaptive processing (STAP) based on sparse Bayesian learning (SBL) can significantly improve clutter suppression performance utilizing clutter sparsity. However, the existing ...
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