Latent SDE generative model for anomaly detection in sparse irregular multivariate time series outperforms baselines on six benchmarks and stays robust under severe sparsity.
Hyperspectral Anomaly Detection Based on Spatial –Spectral Cross -Guided Mask Autoencoder,
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Proposes a prior-free anomaly detection framework for sub-canopy UAV multispectral point clouds that estimates solar angle via inverse optimization and uses illumination-consistent background dictionaries to separate targets from shadows.
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Anomaly Detection for Sparse and Irregular Multivariate Time Series with Latent SDEs
Latent SDE generative model for anomaly detection in sparse irregular multivariate time series outperforms baselines on six benchmarks and stays robust under severe sparsity.
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Illumination-Invariant Anomaly Detection for Sub-Canopy UAV Multispectral Point Clouds
Proposes a prior-free anomaly detection framework for sub-canopy UAV multispectral point clouds that estimates solar angle via inverse optimization and uses illumination-consistent background dictionaries to separate targets from shadows.