A new convolutional variational deep embedding model learns a generative latent manifold of EEG microstate topographies, ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

A benchmark study combining adaptive background modeling, four-frame differencing and occlusion-aware tracking reached 92.9% ...

Realistic models for multi-dimensional asset distributions are vital for stress testing and risk management. Many statistical learning tools need large datasets and lack transparency. Extending his ...