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» An Optimal Process Model for a Real Time Process
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AIME
2009
Springer
15 years 4 months ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...
ECCV
2002
Springer
16 years 1 months ago
Parsing Images into Region and Curve Processes
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
Zhuowen Tu, Song Chun Zhu
WSC
2008
15 years 2 months ago
Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
Liqing Di, Zhihua Xiong, XianHui Yang
BMCBI
2007
128views more  BMCBI 2007»
14 years 11 months ago
Absolute estimation of initial concentrations of amplicon in a real-time RT-PCR process
Background: Since real time PCR was first developed, several approaches to estimating the initial quantity of template in an RT-PCR reaction have been tried. While initially only ...
Marjo V. Smith, Chris R. Miller, Michael Kohn, Nig...
SBACPAD
2008
IEEE
206views Hardware» more  SBACPAD 2008»
15 years 6 months ago
A High Performance Massively Parallel Approach for Real Time Deformable Body Physics Simulation
Single processor technology has been evolving across last decades, but due to physical limitations of chip manufacturing process, the industry is pursuing alternatives to sustain ...
Thiago S. M. C. de Farias, Mozart W. S. Almeida, J...