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Anomaly Detection in Partially Observed Traffic Networks
This paper addresses the problem of detecting anomalous activity in traf...
04/24/2018 ∙ by Elizabeth Hou, et al. ∙
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Sequential Maximum Margin Classifiers for Partially Labeled Data
In many real-world applications, data is not collected as one batch, but...
03/07/2018 ∙ by Elizabeth Hou, et al. ∙
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Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies
Data-driven anomaly detection methods suffer from the drawback of detect...
02/16/2017 ∙ by Elizabeth Hou, et al. ∙
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Efficient Distributed Estimation of Inverse Covariance Matrices
In distributed systems, communication is a major concern due to issues s...
05/03/2016 ∙ by Jesús Arroyo, et al. ∙
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