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» A probabilistic framework for image segmentation
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ECML
2001
Springer
14 years 8 days ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
BMCBI
2005
118views more  BMCBI 2005»
13 years 7 months ago
Vestige: Maximum likelihood phylogenetic footprinting
Background: Phylogenetic footprinting is the identification of functional regions of DNA by their evolutionary conservation. This is achieved by comparing orthologous regions from...
Matthew J. Wakefield, Peter Maxwell, Gavin A. Hutt...
ICCV
2009
IEEE
15 years 23 days ago
Moving in Stereo: Efficient Structure and Motion Using Lines
We present a fast and robust system for estimating structure and motion using a stereo pair, with straight lines as features. Our first set of contributions are efficient algorit...
Manmohan Chandraker, Jongwoo Lim, David Kriegman
CVPR
2008
IEEE
14 years 9 months ago
Action recognition using ballistic dynamics
We present a Bayesian framework for action recognition through ballistic dynamics. Psycho-kinesiological studies indicate that ballistic movements form the natural units for human...
Shiv Naga Prasad Vitaladevuni, Vili Kellokumpu, La...
NSF
1994
Springer
13 years 12 months ago
Physics in a Fantasy World vs. Robust Statistical Estimation
Deformable models in the \physically-based" paradigm are almost always formulated in an ad-hoc fashion, not related to physical reality { they apply the equations on physics i...
Terrance E. Boult, Samuel D. Fenster, Thomas O'Don...