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In recent years, deep learning approaches have gained significant interest as a way of building hierarchical representations from unlabeled data. These deep learning approaches have been applied to image recognition, voice recognition and text processing. However, to our knowledge, the deep learning approaches have not been extensively studied for web data. In this paper, we apply deep belief networks...
Semi-supervised learning using both labeled and unlabeled data is usually adopted to design a high-accuracy and robust classification system on small-size remote sensing training data set. As suggested in the machine learning literature, the larger amount of unlabeled patterns are used, the better classification accuracies can be obtained. Nevertheless, most recently proposed semi-supervised algorithms...
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