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NIPS
2007
14 years 11 months ago
The discriminant center-surround hypothesis for bottom-up saliency
The classical hypothesis, that bottom-up saliency is a center-surround process, is combined with a more recent hypothesis that all saliency decisions are optimal in a decision-the...
Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos
FLAIRS
1998
14 years 11 months ago
An AI Approach to Computer Assisted Tomography
Computer assisted tomography (CAT) systems demandlarge amounts of time and space. In this paper, wedescribe an approachto solving the CAT problemusing several AItechniques includi...
John F. Kolen, David A. Shamma, Thomas Reichherzer...
CGF
2010
144views more  CGF 2010»
14 years 9 months ago
Illustrative White Matter Fiber Bundles
Diffusion Tensor Imaging (DTI) has made feasible the visualization of the fibrous structure of the brain white matter. In the last decades, several fiber-tracking methods have bee...
Ron Otten, Anna Vilanova, Huub van De Wetering
NPL
2006
172views more  NPL 2006»
14 years 9 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
PAMI
2006
229views more  PAMI 2006»
14 years 9 months ago
A Coherent Computational Approach to Model Bottom-Up Visual Attention
Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...