Learning probabilistic latent structure for outlier detection from multi-view data

[PDF] researchgate.net

Debunking free fusion myth: Online multi-view anomaly detection with disentangled product-of-experts modeling

H Wang, ZQ Cheng, J Sun, X Yang, X Wu… - Proceedings of the 31st …, 2023 - dl.acm.org
Multi-view or even multi-modal data is appealing yet challenging for real-world applications.
Detecting anomalies in multi-view data is a prominent recent research topic. However, most …
被引用次数：6 相关文章 所有 3 个版本
[PDF] arxiv.org

Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling

H Wang, ZQ Cheng, J Sun, X Yang, X Wu… - arXiv preprint arXiv …, 2023 - arxiv.org
Multi-view or even multi-modal data is appealing yet challenging for real-world applications.
Detecting anomalies in multi-view data is a prominent recent research topic. However, most …
相关文章

SeeM: A Shared Latent Variable Model for Unsupervised Multi-view Anomaly Detection

P Nguyen, TMV Le - Pacific-Asia Conference on Knowledge Discovery …, 2024 - Springer
There have been multiple attempts to tackle the problem of identifying abnormal instances
that have inconsistent behaviors in multi-view data (ie, multi-view anomalies) but the …
相关文章 所有 2 个版本