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» Automatic feature selection in neuroevolution
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MICCAI
2010
Springer
13 years 8 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
ISBI
2004
IEEE
14 years 10 months ago
Population Classification Based on Structural Morphometry of Cortical Sulci
This paper describes a classification system discriminating male and female brains from morphometric features of cortical sulci. This system is tested on a database of 143 brains,...
Edouard Duchesnay, Jean-Francois Mangin, Alexis Ro...
BSN
2009
IEEE
116views Sensor Networks» more  BSN 2009»
14 years 4 months ago
Detecting Walking Gait Impairment with an Ear-worn Sensor
— This paper investigates an ear worn sensor for the development of a gait analysis framework. Instead of explicitly defining gait features that indicate injury or impairment, an...
Louis Atallah, Omer Aziz, Benny P. L. Lo, Guang-Zh...
ICCV
1999
IEEE
14 years 2 months ago
Motion Segmentation based on Factorization Method and Discriminant Criterion
A motion segmentation algorithm based on factorization method and discriminant criterion is proposed. This method uses a feature with the most useful similarities for grouping, se...
Naoyuki Ichimura
ICIP
2010
IEEE
13 years 7 months ago
Towards computational models of kinship verification
We tackle the challenge of kinship verification using novel feature extraction and selection methods, automatically classifying pairs of face images as "related" or &quo...
Ruogu Fang, Kevin D. Tang, Noah Snavely, Tsuhan Ch...