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A unified framework of predicting binary interestingness of images based on discriminant correlation analysis and multiple kernel learning.
Qiang Sun
Liting Wang
Maohui Li
Longtao Zhang
Yuxiang Yang
Published in:
CoRR (2019)
Keyphrases
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correlation analysis
multiple kernel learning
image retrieval
small number
image classification
cluster analysis
linear combination
data mining
face recognition
association rules
dimensionality reduction
unsupervised learning
principal components
regression analysis