Copositive matrices with nondecreasing off-diagonal entries admit a PSD plus nonnegative decomposition, which implies exactness of a natural relaxation for separable quadratic optimization over the simplex.
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2 Pith papers cite this work. Polarity classification is still indexing.
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An autoencoder with minimal latent entropy loss enables fully unsupervised video anomaly detection by concentrating normal latent embeddings and producing poor reconstructions for anomalies.
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Copositive Matrices with Ordered Off-Diagonal Entries
Copositive matrices with nondecreasing off-diagonal entries admit a PSD plus nonnegative decomposition, which implies exactness of a natural relaxation for separable quadratic optimization over the simplex.
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MLE-UVAD: Minimal Latent Entropy Autoencoder for Fully Unsupervised Video Anomaly Detection
An autoencoder with minimal latent entropy loss enables fully unsupervised video anomaly detection by concentrating normal latent embeddings and producing poor reconstructions for anomalies.