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ML
2010
ACM
142views Machine Learning» more  ML 2010»
15 years 5 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
ADHOCNETS
2009
Springer
16 years 1 months ago
MeshMAC: Enabling Mesh Networking over IEEE 802.15.4 through Distributed Beacon Scheduling
Although IEEE 802.15.4 is being considered as a promising standard for low-cost low-power Wireless Sensor Networks (WSNs), several issues in the specification are still open. One o...
Panneer Muthukumaran, Rodolfo de Paz Alberola, Ros...
CLUSTER
2009
IEEE
16 years 1 months ago
Topics on measuring real power usage on high performance computing platforms
—Power has recently been recognized as one of the major obstacles in fielding a Peta-FLOPs class system. To reach Exa-FLOPs, the challenge will certainly be compounded. In this ...
James H. Laros, Kevin T. Pedretti, Suzanne M. Kell...
ICPR
2006
IEEE
16 years 8 months ago
Non-overlapping Distributed Tracking using Particle Filter
Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The import...
Fee-Lee Lim, Tele Tan, Wilson S. Leoputra
IPPS
2006
IEEE
16 years 1 months ago
Towards building a highly-available cluster based model for high performance computing
In recent years, we have witnessed a growing interest in high performance computing (HPC) using a cluster of workstations. However, many challenges remain to be resolved before th...
Azzedine Boukerche, Raed Al-Shaikh, Mirela Sechi M...