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ICIP
2007
IEEE
14 years 10 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
15 years 4 months ago
Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
The analysis of genetic diseases has classically been directed towards establishing direct links between cause, a genetic variation, and effect, the observable deviation of phenot...
Benjamin Georgi, M. Anne Spence, Pamela Flodman, A...
AMAST
2006
Springer
15 years 1 months ago
A Computational Group Theoretic Symmetry Reduction Package for the Spin Model Checker
Abstract. Symmetry reduced model checking is hindered by two problems: how to identify state space symmetry when systems are not fully symmetric, and how to determine equivalence o...
Alastair F. Donaldson, Alice Miller
GI
2010
Springer
14 years 8 months ago
Extended Object and Group Tracking: A Comparison of Random Matrices and Random Hypersurface Models
: Based on previous work of the authors, this paper provides a comparison of two different tracking methodologies for extended objects and group targets, where the true shape of th...
Marcus Baum, Michael Feldmann, Dietrich Fraenken, ...
ISBI
2008
IEEE
15 years 10 months ago
Improved fMRI group studies based on spatially varying non-parametric BOLD signal modeling
Multi-subject analysis of functional Magnetic Resonance Imaging (fMRI) data relies on within-subject studies, which are usually conducted using a massively univariate approach. In...
Philippe Ciuciu, Thomas Vincent, Anne-Laure Fouque...