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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Domain Adaptive Neural Networks for Object Recognition
verfasst von : Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang
Erschienen in: PRICAI 2014: Trends in Artificial Intelligence
Verlag: Springer International Publishing
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We propose a simple neural network model to deal with the domain adaptation problem in object recognition. Our model incorporates the Maximum Mean Discrepancy (MMD) measure as a regularization in the supervised learning to reduce the distribution mismatch between the source and target domains in the latent space. From experiments, we demonstrate that the MMD regularization is an effective tool to provide good domain adaptation models on both SURF features and raw image pixels of a particular image data set.