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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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73
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CDC
2008
IEEE
15 years 9 months ago
Equivalence between Approximate Dynamic Inversion and Proportional-Integral control
—Approximate Dynamic Inversion (ADI) has been established as a method to control minimum-phase, nonaffine-incontrol systems. Previous results have shown that for single-input no...
Justin Teo, Jonathan P. How
121
Voted
ISBI
2008
IEEE
16 years 3 months ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...
125
Voted
TMI
2008
138views more  TMI 2008»
15 years 2 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
104
Voted
ICML
2006
IEEE
16 years 3 months ago
Efficient inference on sequence segmentation models
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
Sunita Sarawagi
113
Voted
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
15 years 9 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso