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ICASSP
2010
IEEE
13 years 8 months ago
Learning from other subjects helps reducing Brain-Computer Interface calibration time
A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. I...
Fabien Lotte, Cuntai Guan
APGV
2004
ACM
131views Visualization» more  APGV 2004»
14 years 4 months ago
Vision-realistic rendering: simulation of the scanned foveal image from wavefront data of human subjects
We introduce the concept of vision-realistic rendering – the computer generation of synthetic images that incorporate the characteristics of a particular individual’s entire o...
Brian A. Barsky
MICCAI
2005
Springer
14 years 11 months ago
MR Diffusion-Based Inference of a Fiber Bundle Model from a Population of Subjects
This paper proposes a method to infer a high level model of the white matter organization from a population of subjects using MR diffusion imaging. This method takes as input for e...
Vincent El Kouby, Yann Cointepas, Cyril Poupon, De...
ISSAC
2007
Springer
130views Mathematics» more  ISSAC 2007»
14 years 5 months ago
On probabilistic analysis of randomization in hybrid symbolic-numeric algorithms
Algebraic randomization techniques can be applied to hybrid symbolic-numeric algorithms. Here we consider the problem of interpolating a sparse rational function from noisy values...
Erich Kaltofen, Zhengfeng Yang, Lihong Zhi
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
14 years 4 months ago
Behavior of finite population variable length genetic algorithms under random selection
In this work we provide empirical evidence that shows how a variable-length genetic algorithm (GA) can naturally evolve shorter average size populations. This reduction in chromos...
Hal Stringer, Annie S. Wu