Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
A novel efficiency and effectiveness Internet multicast routing protocol is presented with short delay, high throughput, resource utilization and scalability for a single multicas...
Distributed Denial-of-Service attacks are still a big threat to the Internet. Several proposals for coping with the attacks have been made in the recent past, but neither of them ...
Wireless and mobile devices are beginning to offer stunning new technical capabilities for collaborative learning. Yet, researchers in this field must recognize the importance of ...
Chris DiGiano, Louise Yarnall, Charles Patton, Jer...
This work presents an approach to the automatic interpretation of the visual field to enable ophthalmology patients to be classified as glaucomatous and normal. The approach is bas...