Few-shot class-incremental learning for specific emitter identification with orthogonal space constraints
To address the challenge of few-shot class-incremental learning (FSCIL) for specific emitter identification (SEI) with scarce samples, and the issue that existing methods lacked explicit geometric constraints, leading to new class embeddings being easily confused with those of old classes, a method...
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| Principais autores: | , , , , |
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| פורמט: | Artigo |
| שפה: | Chinês |
| יצא לאור: |
Editorial Department of Journal on Communications
2026-06-01
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| סדרה: | Tongxin xuebao |
| נושאים: | |
| גישה מקוונת: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.TXXB260021 |
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