ACML 2019 Proceedings

An Improved Density Peaks Method for Data Clustering

Self-supervised semi-supervised nonnegative matrix factorization for data clustering

Dynamic Graph-Based Label Propagation for Density Peaks Clustering

Self-Paced Multi-Label Learning with Diversity

Asymmetric Semi-Nonnegative Matrix Factorization for Directed Graph Clustering

Deep Autoencoder-like NMF with Contrastive Regularization and Feature Relationships preservation

Elastic Adversarial Deep Nonnegative Matrix Factorization for Matrix Completion

Deep Autoencoder-like NMF with Contrastive Regularization and Feature Relationships preservation