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CORR
2010
Springer
146views Education» more  CORR 2010»
13 years 10 months ago
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
Daniel Golovin, Andreas Krause
ISBI
2004
IEEE
14 years 11 months ago
Outlier Detection for Robust Region-Based Estimation of the Hemodynamic Response Function in Event-Related fMRI
In functional Magnetic Resonance Imaging (fMRI), the Hemodynamic Response Function (HRF) represents the impulse response of the neurovascular system. Its identification is essenti...
Philippe Ciuciu, Alexis Roche, Jérôme...
GI
2007
Springer
14 years 4 months ago
Automated Test Case Selection Based on a Similarity Function
: A strategy for automatic test case selection based on the use of a similarity function is presented. Test case selection is a crucial activity to model-based testing since the nu...
Emanuela G. Cartaxo, Francisco G. Oliveira Neto, P...
ACIVS
2005
Springer
14 years 3 months ago
A Likelihood Ratio Test for Functional MRI Data Analysis to Account for Colored Noise
Abstract. Functional magnetic resonance (fMRI) data are often corrupted with colored noise. To account for this type of noise, many prewhitening and pre-coloring strategies have be...
Jan Sijbers, Arnold Jan den Dekker, Robert Bos
IPMI
2005
Springer
14 years 3 months ago
A Generalized Level Set Formulation of the Mumford-Shah Functional for Brain MR Image Segmentation
Brain MR image segmentation is an important research topic in medical image analysis area. In this paper, we propose an active contour model for brain MR image segmentation, based ...
Lishui Cheng, Jie Yang, Xian Fan, Yuemin Zhu