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Painter identification using local features and naive Bayes
Daniel Keren
Department of Computer Science
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peer-review
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Keyphrases
Local Features
100%
Naïve Bayes
100%
Painters
100%
Man-made
25%
Human Perception
25%
Image Block
25%
Outdoor Scenes
25%
Majority Vote
25%
Image Classification
25%
Training Set
25%
Small Images
25%
Naïve Bayes Classifier
25%
Arts and Humanities
Painting
100%
Bayesian Learning
100%
Artists
100%
Majority
50%
Classification image
50%
Computer Science
local feature
100%
Bayes Classifier
50%
Human Perception
50%
Image Classification
50%
Mathematics
Naïve Bayes
100%
Small Image
50%
Training Set
50%
Psychology
Training Set
100%