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» Hierarchical Unsupervised Learning
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ISBI
2006
IEEE
15 years 10 months ago
Improve brain registration using machine learning methods
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...
Guorong Wu, Feihu Qi, Dinggang Shen
ESANN
2007
15 years 6 months ago
Agglomerative Independent Variable Group Analysis
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
Antti Honkela, Jeremias Seppä, Esa Alhoniemi
ICML
2010
IEEE
15 years 5 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
CE
2008
99views more  CE 2008»
15 years 3 months ago
Designing multimedia games for young children's taxonomic concept development
This study aimed to design and evaluate multimedia games which were based on the theories of children's development of taxonomic concepts. Factors that might affect children&...
Yao-Ting Sung, Kuo-En Chang, Meng-Da Lee
NECO
2010
129views more  NECO 2010»
15 years 3 months ago
A Two-Layer Model of Natural Stimuli Estimated with Score Matching
We consider a hierarchical two-layer model of natural signals in which both layers are learned from the data. Estimation is accomplished by Score Matching, a recently proposed est...
Urs Köster, Aapo Hyvärinen