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Transfer learning based on logistic regression

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Academic year: 2021

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Figure

Figure 1: Synthetic test data set with different rotation and parameter θ: (a), (f), (k) source training samples and decision regions obtained for the source domain with proposed methodology
Figure 2: Feature space from source (a) and target (b) domains; decision boundaries for after training the classifier on source domain data (c); decision boundaries in the target domain after TL (d)
Figure 3: Reference data and results of classification of the test area for the three classification variants explained in the main text.

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