Ke Han

Ke Han
  • Doctor of Philosophy
  • PhD Candidate at Florida State University

About

2
Publications
22
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Citations
Current institution
Florida State University
Current position
  • PhD Candidate

Publications

Publications (2)
Article
Full-text available
This paper introduces a novel method for Semi-Supervised Few-Shot Class Incremental Learning (SSFSCIL) that exhibits virtually no catastrophic forgetting. The method uses a generic feature extractor that was pretrained without supervision on a large image dataset, and a classifier based on a Probabilistic PCA (PPCA) model for each class instead of...

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