Research Article
Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization
Algorithm 2
Ensemble Domain Adaptation Exemplar Classifiers.
Input:āā, ; parameter | Output: prediction labels | (1)Compute the weights of the classifiers. | (2)Construct weight matrix and bias of predictors | based on . | (3)repeat | (4)Compute scores of each classifier in this category. | (5)Find top scores. | (6)Compute the sum of these top scores. | (7)until The number of categories | (8)Choose the max score owned category as the prediction | label . |
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