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ICML
2006
IEEE
14 years 8 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
ISBI
2008
IEEE
14 years 8 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...
CHI
2004
ACM
14 years 7 months ago
Using mental load for managing interruptions in physiologically attentive user interfaces
Today's user is surrounded by mobile appliances that continuously disrupt his activities through instant message, email and phone call notifications. In this paper, we presen...
Daniel Chen, Roel Vertegaal
MICCAI
2009
Springer
14 years 4 months ago
Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties
Abstract. It has been shown that brain structures in normal aging undergo significant changes attributed to neurodevelopmental and neurodegeneration processes as a lifelong, dynami...
Sylvain Gouttard, Marcel Prastawa, Elizabeth Bulli...
IJCNN
2008
IEEE
14 years 1 months ago
Incremental Common Spatial Pattern algorithm for BCI
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...
Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li