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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 8 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
MICCAI
2003
Springer
16 years 7 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
MICCAI
2003
Springer
16 years 7 months ago
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI
Abstract. This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil ...
Guido Gerig, Marcel Prastawa, Weili Lin, John H. G...
IV
2003
IEEE
118views Visualization» more  IV 2003»
15 years 11 months ago
Mental Representations and Visualization Processes in Organizational Memories
Visual metaphors describe cognitive processes in every part of life and function as a connection between what we see and what we think. Mental activities and perceptional interact...
Stefan Smolnik, Ludwig Nastansky, Torsten Knieps
CVPR
2003
IEEE
16 years 8 months ago
A Road Sign Recognition System Based on Dynamic Visual Model
We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model, call dynamic visual model, consists of three majo...
C. Y. Fang, C. S. Fuh, S. W. Chen, P. S. Yen