Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization

Algorithm 2

Ensemble Domain Adaptation Exemplar Classifiers.

Input:  , ; 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 .