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TMI
2010
175views more  TMI 2010»
13 years 3 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
JGS
2010
106views more  JGS 2010»
13 years 3 months ago
On vector autoregressive modeling in space and time
Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until latel...
Valter Di Giacinto
SIMVIS
2003
13 years 10 months ago
An Experimental Study of the Behaviour of the Proxel-Based Simulation Algorithm
The paradigm of the proxel ("probability element") was recently introduced in order to provide a new algorithmic approach to analysing discrete-state stochastic models s...
Sanja Lazarova-Molnar, Graham Horton
ICCV
1999
IEEE
14 years 11 months ago
Dynamic Feature Ordering for Efficient Registration
Existing sequential feature-based registration algorithms involving search typically either select features randomly (eg. the RANSAC[8] approach) or assume a predefined, intuitive...
Tat-Jen Cham, James M. Rehg
PR
2010
147views more  PR 2010»
13 years 7 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani