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» On Fitting Mixture Models
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ISBI
2004
IEEE
16 years 7 months ago
Incremental Activation Detection in fMRI Series Using Kalman Filtering
We propose a new detection algorithm for functional magnetic resonance imaging (fMRI) data. Our basic idea is to use an extended Kalman filter (EKF) to fit a general linear model ...
Alexis Roche, Jean-Baptiste Poline, Pierre-Jean La...
RECOMB
2005
Springer
16 years 6 months ago
Stability of Rearrangement Measures in the Comparison of Genome Sequences
We present data-analytic and statistical tools for studying rates of rearrangement of whole genomes and to assess the stability of these methods with changes in the level of resol...
David Sankoff, Matthew Mazowita
CVPR
2010
IEEE
16 years 2 months ago
Estimation of Image Bias Field with Sparsity Constraints
We propose a new scheme to estimate image bias field through introducing two sparsity constraints. One is that the bias-free image has concise representation with image gradients o...
Yuanjie Zheng and James C. Gee
ICTAI
2008
IEEE
16 years 28 days ago
Adaptive Mobile Interfaces through Grammar Induction
This paper presents a grammar-induction based approach to partitioning a Web page into several small pages while each small page fits not only spatially but also logically for mob...
Jun Kong, Kevin L. Ates, Kang Zhang, Yan Gu
FBIT
2007
IEEE
16 years 25 days ago
Learning to Drive a Real Car in 20 Minutes
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...