Search Results for author:
Found 4 papers, 0 papers with code
Federated Variational Learning for Anomaly Detection in Multivariate Time Series
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).
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model
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
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.
Active Perceptual Similarity Modeling with Auxiliary Information
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?".
