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109
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HUC
2011
Springer
14 years 13 days ago
Exploring micro-incentive strategies for participant compensation in high-burden studies
Micro-incentives represent a new but little-studied trend in participant compensation for user studies. In this paper, we use a combination of statistical analysis and models from...
Mohamed Musthag, Andrew Raij, Deepak Ganesan, Sant...
CVPR
2007
IEEE
16 years 2 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
88
Voted
ICPR
2006
IEEE
16 years 1 months ago
Automatic Alignment of High-Resolution NMR Spectra Using a Bayesian Estimation Approach
Nuclear magnetic resonance (NMR) spectral analysis has recently become one of the major means for the detection and recognition of metabolic changes of disease state, physiologica...
Seoung Bum Kim, Zhou Wang
90
Voted
ICIP
2005
IEEE
15 years 6 months ago
Bayesian blind source separation for brain imaging
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
Hicham Snoussi, Vince D. Calhoun
105
Voted
SIGGRAPH
1999
ACM
15 years 5 months ago
Voice Puppetry
We introduce a method for predicting a control signal from another related signal, and apply it to voice puppetry: Generating full facial animation from expressive information in ...
Matthew Brand