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On Injecting Entropy-Like Features into Deep Neural Networks for Content Relevance Assessment.
Jakub Sido
Kamil Ekstein
Ondrej Prazák
Miloslav Konopík
Published in:
TPNC (2021)
Keyphrases
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neural network
feature space
test collection
information content
feature extraction
artificial neural networks
feature vectors
classification accuracy
image features
co occurrence
mutual information
back propagation
information retrieval
learning algorithm
feature selection
retrieval systems