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MICCAI
2006
Springer
15 years 11 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
82
Voted
GLOBECOM
2009
IEEE
14 years 7 months ago
Nonparametric Obstruction Detection for UWB Localization
Ultra-wide bandwidth (UWB) transmission is a promising technology for indoor localization due to its fine delay resolution and obstacle-penetration capabilities. However, the prese...
Stefano Maranò, Wesley M. Gifford, Henk Wym...
ICIP
2010
IEEE
14 years 8 months ago
A concave cost formulation for parametric curve fitting: Detection of leukocytes from intravital microscopy images
We formulate parametric curve fitting as a concave cost minimization problem. Our formulation is general encompassing any parametric curve where parameters can be free or constrai...
Nilanjan Ray
76
Voted
CAD
2008
Springer
14 years 10 months ago
Dual evolution of planar parametric spline curves and T-spline level sets
By simultaneously considering evolution processes for parametric spline curves and implicitly defined curves, we formulate the framework of dual evolution. This allows us to combin...
Robert Feichtinger, Matthias Fuchs, Bert Jütt...
TMI
2010
172views more  TMI 2010»
14 years 8 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...