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Optimizing latent space for effective radar target detection using variational auto-encoder
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DOI：10.1016/j.sigpro.2025.110235.png)
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Abstract
En 中文
• Dissimilarity-driven representation learning: KLD, APTL, and CPRL enhance robustness. • Enhanced one-class-based detector: Effective time–frequency feature extraction. • Multi-perspective anomaly detection: Three interpretable anomaly scores.
Keywords:
dissimilarity-driven representation learning
one-class-based anomaly detection
time-frequency feature extraction
multi-perspective anomaly scoring
robustness enhancement
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