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» An adaptive level of detail approach to nonlinear estimation
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TMI
2010
175views more  TMI 2010»
13 years 2 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
TIP
1998
99views more  TIP 1998»
13 years 7 months ago
Nonlinear image estimation using piecewise and local image models
—We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIMâ...
Scott T. Acton, Alan C. Bovik
NIPS
2007
13 years 9 months ago
Continuous Time Particle Filtering for fMRI
We construct a biologically motivated stochastic differential model of the neural and hemodynamic activity underlying the observed Blood Oxygen Level Dependent (BOLD) signal in Fu...
Lawrence Murray, Amos J. Storkey
ICIP
2006
IEEE
14 years 9 months ago
Sure-Based Wavelet Thresholding Integrating Inter-Scale Dependencies
We propose here a new pointwise wavelet thresholding function that incorporates inter-scale dependencies. This non-linear function depends on a set of four linear parameters per s...
Florian Luisier, Thierry Blu, Michael Unser
CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
13 years 2 months ago
A design solution to the problem of adaptive output regulation for nonlinear minimum-phase systems
We propose a solution to the problem of adaptive output regulation for nonlinear minimum-phase systems that does not rely upon conventional adaptation schemes to estimate the frequ...
Alberto Isidori, Lorenzo Marconi, Laurent Praly