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» Learning the Relative Importance of Features in Image Data
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143
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TMI
2010
206views more  TMI 2010»
14 years 10 months ago
Random Subspace Ensembles for fMRI Classification
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
Ludmila I. Kuncheva, Juan José Rodrí...
CVPR
2007
IEEE
16 years 6 months ago
Capturing long-range correlations with patch models
The use of image patches to capture local correlations between pixels has been growing in popularity for use in various low-level vision tasks. There is a trade-off between using ...
Vincent Cheung, Nebojsa Jojic, Dimitris Samaras
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
16 years 5 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard GrÃ...
158
Voted
BMCBI
2008
125views more  BMCBI 2008»
15 years 4 months ago
SNPLims: a data management system for genome wide association studies
Background: Recent progresses in genotyping technologies allow the generation high-density genetic maps using hundreds of thousands of genetic markers for each DNA sample. The ava...
Alessandro Orro, Guia Guffanti, Erika Salvi, Fabio...
AAAI
2008
15 years 6 months ago
Dimension Amnesic Pyramid Match Kernel
With the success of local features in object recognition, feature-set representations are widely used in computer vision and related domains. Pyramid match kernel (PMK) is an effi...
Yi Liu, Xulei Wang, Hongbin Zha