Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
We investigate the influence of physiological measures like heart beat and respiration on functional connectivity networks from fMRI. Cardiac and respiratory effects were measured...
We investigate techniques for visualizing time series data and evaluate their effect in value comparison tasks. We compare line charts with horizon graphs--a space-efficient time ...
The advent of new parallel architectures has increased the need for parallel optimizing compilers to assist developers in creating efficient code. OpenUH is a state-of-the-art opt...
Lei Huang, Deepak Eachempati, Marcus W. Hervey, Ba...