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ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
14 years 2 months ago
Accounting for non-linear dependence using function driven component analysis
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
Lerong Cheng, Puneet Gupta, Lei He
CVPR
1999
IEEE
14 years 9 months ago
Yet another Method for Pose Estimation: A Probabilistic Approach using Points, Lines, and Cylinders
In this work, we use points, lines, and the linear extremal contours of cylinders to estimate the position and orientation of the camera in the world coordinate system. Other line...
Robert Hanek, Nassir Navab, Mirko Appel
MICCAI
2004
Springer
14 years 8 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...
BMCBI
2007
102views more  BMCBI 2007»
13 years 7 months ago
Multivariate Analysis and Visualization of Splicing Correlations in Single-Gene Transcriptomes
Background: RNA metabolism, through 'combinatorial splicing', can generate enormous structural diversity in the proteome. Alternative domains may interact, however, with...
Mark C. Emerick, Giovanni Parmigiani, William S. A...
ICASSP
2008
IEEE
14 years 1 months ago
Robust correlation analysis with an application to functional MRI
Correlation is often used to measure the similarity between signals and is an important tool in signal and image processing. In some applications it is common that signals are cor...
Joakim Rydell, Magnus Borga, Hans Knutsson