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EXTRACTION OF BUILT-UP AREAS USING CONVOLUTIONAL NEURAL NETWORKS AND TRANSFER LEARNING FROM SENTINEL-2 SATELLITE IMAGES
Built-up Area Extraction Convolutional Neural Networks Deep Learning Sentinel-2 Images Transfer Learning
2018/5/11
With rapid globalization, the extent of built-up areas is continuously increasing. Extraction of features for classifying built-up areas that are more robust and abstract is a leading research topic f...
A Geometric Framework for Transfer Learning Using Manifold Alignment
Dimensionality Reduction Manifold Alignment Multiscale Analysis Representation Learning Topic Model Transfer Learning
2014/12/18
Many machine learning problems involve dealing with a large amount of high-dimensional data across diverse domains. In addition, annotating or labeling the data is expensive as it involves significant...
Sparse coding for multitask and transfer learning
Sparse coding multitask transfer learning
2012/11/23
We present an extension of sparse coding to the problems of multitask and transfer learning. The central assumption of the method is that the tasks parameters are well approximated by sparse linear co...