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Titlebook: Image Analysis and Recognition; 13th International C Aurélio Campilho,Fakhri Karray Conference proceedings 2016 Springer International Publ

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Adaptation Approaches in Unsupervised Learning: A Survey of the State-of-the-Art and Future Directiogorithms to deal with this data dynamics. Adaptation mechanisms for unsupervised learning have received an increasing amount of attention from researchers. This research activity has produced a lot of results in tackling some of the challenging problems of the adaptation process that are still open.
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Transferring and Compressing Convolutional Neural Networks for Face Representationsmpact face descriptor trained only on a restricted amount of face image data. Transfer learning by fine-tuning CNNs pre-trained on large-scale object recognition has been shown to be a suitable approach to counter a limited amount of target domain data. Using model compression we reduced the model c
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Efficient Melanoma Detection Using Texture-Based RSurf Featuresreated early, it is almost always curable. However, in early stages, melanomas are similar to benign lesions known as moles, which also originate from melanocytes. Therefore, much effort is put on the correct automated recognition of melanomas. Current computer-aided diagnosis relies on the use of v
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