Abstract: One advancing machine-learning-based analysis approach for multivariate time-series data is representing data as a third-order tensor and then applying dimensionality reduction (DR) methods.

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

Abstract: Online hashing has gained significant interest for its tremendous promise in handling large-scale streaming image data. However, there are still several problems to be solved. Firstly, many ...