Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
The clustering coefficient of a node in a social network is a fundamental measure that quantifies how tightly-knit the community is around the node. Its computation can be reduce...
Abstract. Active Storage provides an opportunity for reducing the bandwidth requirements between the storage and compute elements of current supercomputing systems, and leveraging ...
This current study explored the impact of individual differences in personality factors on interface interaction and learning performance in both an interactive visualization and ...
Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an...
Stephanie Lindsey, Cauligi S. Raghavendra, Krishna...