2 papers
cs.LG2020
Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection
Imtiaz Ahmed, Travis Galoppo, Xia Hu +1
Dimensionality reduction is a crucial first step for many unsupervised learning tasks including anomaly detection and clustering. Autoencoder is a popular mechanism to accomplish d…
cs.LG2020
Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point-wise Anomaly Detection
Imtiaz Ahmed, Xia Ben Hu, Mithun P. Acharya +1
Dimensionality reduction is considered as an important step for ensuring competitive performance in unsupervised learning such as anomaly detection. Non-negative matrix factorizati…