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Filippo Leveni

2 accepted papers

2024

Online Isolation Forest

ICML 2024poster

The anomaly detection literature is abundant with offline methods, which require repeated access to data in memory, and impose impractical assumptions when applied to a streaming context. Existing online anomaly detection methods also generally fail to address these constraints, resorting to periodi…

2021

MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection

CVPR 2021poster

We address the problem of recovering multiple structures of different classes in a dataset contaminated by noise and outliers. In particular, we consider geometric structures defined by a mixture of underlying parametric models (e.g. planes and cylinders, homographies and fundamental matrices), and…

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