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BMCBI
2008
186views more  BMCBI 2008»
13 years 9 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
ICVS
2001
Springer
14 years 1 months ago
A Framework for Generic State Estimation in Computer Vision Applications
Abstract. Experimenting and building integrated, operational systems in computational vision poses both theoretical and practical challenges, involving methodologies from control t...
Cristian Sminchisescu, Alexandru Telea
ICIP
2008
IEEE
14 years 10 months ago
Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation
The segmentation of the heart's left ventricle (LV) chamber in several medical imaging modalities, e.g. Ultrasound (US) and Magnetic Resonance (MRI), is important from a clin...
Jacinto Nascimento, João Sanches
ICPR
2006
IEEE
14 years 10 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
ECCV
2008
Springer
14 years 11 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher