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SODA
2010
ACM
208views Algorithms» more  SODA 2010»
14 years 5 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...
ICASSP
2011
IEEE
12 years 11 months ago
Data-driven fMRI group classification using connected components and Gaussian process classifiers
Functional magnetic resonance imaging (fMRI) is a popular tool for studying brain activity due to its non-invasiveness. Conventionally an expected response needs to be available f...
Sarah Lee, Fernando Zelaya, Yohan Samarasinghe, St...
NIPS
2007
13 years 9 months ago
Locality and low-dimensions in the prediction of natural experience from fMRI
Functional Magnetic Resonance Imaging (fMRI) provides dynamical access into the complex functioning of the human brain, detailing the hemodynamic activity of thousands of voxels d...
Francois Meyer, Greg Stephens
JOCN
2010
90views more  JOCN 2010»
13 years 6 months ago
Distinct Neural Correlates for Volitional Generation and Inhibition of Saccades
■ The antisaccade task has proven highly useful in basic and clinical neuroscience, and the neural structures involved are well documented. However, the specific neurocognitive ...
Benedikt Reuter, Christian Kaufmann, Julia Bender,...
MICCAI
2006
Springer
14 years 8 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim