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» A dynamical-systems model for Parkinson's disease
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AINA
2008
IEEE
14 years 22 days ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh
SAINT
2008
IEEE
14 years 18 days ago
Observing Walking Behavior of Humans Using Distributed Phenomenon Detection and Tracking Mechanisms
The utility of walking parameters such as stride length, cadence and gait velocity for monitoring motor functions of patients suffering from brain injury, Parkinson’s disease an...
Raja Bose, Abdelsalam Helal
ISBI
2009
IEEE
14 years 1 months ago
Detecting Maximal Directional Changes in Spatial fMRI Response Using Canonical Correlation Analysis
Traditional fMRI analysis has focused on modeling temporal changes in BOLD signals on a voxel-by-voxel basis to infer brain activation. To incorporate spatial information, we have...
Bernard Ng, Rafeef Abugharbieh, Martin McKeown
CVPR
2010
IEEE
14 years 2 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
COGSR
2011
82views more  COGSR 2011»
13 years 1 months ago
Executive control of retrieval in noun and verb generation
In verb/noun generation experiments, participants have to produce a word associated with a stimulus (usually a noun) and belonging to a given syntactic category (“verb” or “...
Fabio Del Missier, Cristiano Crescentini