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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