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BMCBI
2006
146views more  BMCBI 2006»
15 years 7 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
BMCBI
2007
115views more  BMCBI 2007»
15 years 7 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
JPDC
2006
81views more  JPDC 2006»
15 years 7 months ago
Implications of virtualization on Grids for high energy physics applications
The simulations used in the field of high energy physics are compute intensive and exhibit a high level of data parallelism. These features make such simulations ideal candidates ...
Laura Gilbert, Jeff Tseng, Rhys Newman, Saeed Iqba...
COMCOM
2004
127views more  COMCOM 2004»
15 years 7 months ago
Traffic splitting in a network: split traffic models and applications
The contemporary high-speed networks, e.g. the Internet and asynchronous transfer mode (ATM) networks provide a convenient and cost-effective communication platform to carry the e...
Huei-Wen Ferng, Cheng-Ching Peng
TMI
2010
204views more  TMI 2010»
15 years 5 months ago
Camera Augmented Mobile C-Arm (CAMC): Calibration, Accuracy Study, and Clinical Applications
—Mobile C-arm is an essential tool in everyday trauma and orthopedics surgery. Minimally invasive solutions, based on X-ray imaging and coregistered external navigation created a...
Nassir Navab, Sandro Michael Heining, Jörg Tr...