Search Results for author: Lee Seversky

Found 4 papers, 0 papers with code

Federated Variational Learning for Anomaly Detection in Multivariate Time Series

no code implementations18 Aug 2021 Kai Zhang, Yushan Jiang, Lee Seversky, Chengtao Xu, Dahai Liu, Houbing Song

Anomaly detection has been a challenging task given high-dimensional multivariate time series data generated by networked sensors and actuators in Cyber-Physical Systems (CPS).

Anomaly Detection Representation Learning +2

Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model

no code implementations2 Dec 2019 Namjoon Suh, Xiaoming Huo, Eric Heim, Lee Seversky

We propose a combined model, which integrates the latent factor model and the logistic regression model, for the citation network.


Sequential Low-Rank Change Detection

no code implementations3 Oct 2016 Yao Xie, Lee Seversky

The premise is that when the sketching matrix is a random Gaussian matrix, and the dimension of the sketching vector is sufficiently large, the rank of sample covariance matrix for these sketches equals the rank of the original sample covariance matrix with high probability.

Change Detection Dimensionality Reduction

Active Perceptual Similarity Modeling with Auxiliary Information

no code implementations6 Nov 2015 Eric Heim, Matthew Berger, Lee Seversky, Milos Hauskrecht

A common way to learn such a model is from relative comparisons in the form of triplets: responses to queries of the form "Is object a more similar to b than it is to c?".

Active Learning

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