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Article
Crots: Cross-Domain Teacher–Student Learning for Source-Free Domain Adaptive Semantic Segmentation
Source-free domain adaptation (SFDA) aims to transfer source knowledge to the target domain from pre-trained source models without accessing private source data. Existing SFDA methods typically adopt the self-...
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Chapter and Conference Paper
Encrypted Traffic Identification Based on Sparse Logistical Regression and Extreme Learning Machine
In this work, a new encrypted traffic identification algorithm using sparse logistical regression and extreme learning machine (ELM) is introduced. The proposed method is based on randomness characteristics of...