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#diffusion models Review Oct 2026

AVID-DR: Active-View Selection and Cross-Scale Instance-Aware Anomaly Detection with Diffusion Reconstruction

Multi-view visual analysis is often limited by redundant observations, scale-varying anomalies and incomplete image evidence. This paper proposes AVID-DR, a unified pattern-recognition framework that integrates uncertainty-guided active-view selection, confidence-weighted multi-view fusion, cross-scale instance-aware a...

Lei Zhang, Fei He, Dan Guo et al. · 0 citations
Conference Sep 2026

Network intrusion detection based on strict validation-guided hybrid feature selection and LightGBM

Network intrusion detection often involves high-dimensional and redundant traffic features. This paper proposes a validation-guided MI-RF feature selection method with LightGBM for binary intrusion detection. Mutual information and random forest importance are combined to rank features from statistical dependency and e...

Fan Zhou, Kai Yan, Fei He · 0 citations

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