In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimi...
Jean-Pascal Pfister, Taro Toyoizumi, David Barber,...
Twitter streams are on overload: active users receive hundreds of items per day, and existing interfaces force us to march through a chronologically-ordered morass to find tweets ...
Michael S. Bernstein, Bongwon Suh, Lichan Hong, Ji...
How to rapidly disseminate a large-sized file to many recipients is a fundamental problem in many applications, such as updating software patches and distributing large scientific ...
We present an adaptive framework for condensation algorithms in the context of human-face tracking. We attack the face tracking problem by making factored sampling more efficient a...
Yui Man Lui, J. Ross Beveridge, L. Darrell Whitley
Cluster based replication solutions are an attractive mechanism to provide both high-availability and scalability for the database backend within the multi-tier information system...