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Table 1:
Notations and Descriptions.
NotationDescriptionNotationDescription
Ds Training data (seen) Ns Number of training samples 
Du Test data (unseen) Nu Number of test samples 
Dg Out-of-the-box data Ng Number of generated samples 
X Image features d Number of dimension of features 
Ys Training classes (seen) K Number of training classes 
Yu Test classes (unseen) L Number of test classes 
A Attribute matrix ay Attribute vector of label y 
Na Number of all the attributes A Set of original attributes 
s Selection vector S Subset of selected attributes 
NotationDescriptionNotationDescription
Ds Training data (seen) Ns Number of training samples 
Du Test data (unseen) Nu Number of test samples 
Dg Out-of-the-box data Ng Number of generated samples 
X Image features d Number of dimension of features 
Ys Training classes (seen) K Number of training classes 
Yu Test classes (unseen) L Number of test classes 
A Attribute matrix ay Attribute vector of label y 
Na Number of all the attributes A Set of original attributes 
s Selection vector S Subset of selected attributes 
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