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Transfer learning is a learning paradigm which enables us to transfer knowledge gained in one domain to other familiar domains. These approaches are useful in scenarios where one domain has large amount of labelled data and another domain has either none or very few labelled examples. In this work, we have used feature extraction techniques (such as PCA, SURF and Gabor filter) to implement transfer...
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