Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most importan...
Junwei Cao, Stephen A. Jarvis, Subhash Saini, Grah...
—For a large-scale mesh network with dynamic traffic, maintaining the global state information in a centralized fashion is impractical. Hence, distributed schemes are needed to ...
I/O bottlenecks are already a problem in many largescale applications that manipulate huge datasets. This problem is expected to get worse as applications get larger, and the I/O ...
Murali Vilayannur, Anand Sivasubramaniam, Mahmut T...
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...