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12/28/2019
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification
Nowadays, deep learning methods, especially the convolutional neural net...
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12/24/2019
Deep Manifold Embedding for Hyperspectral Image Classification
Deep learning methods have played a more and more important role in hype...
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05/13/2019
A novel statistical metric learning for hyperspectral image classification
In this paper, a novel statistical metric learning is developed for spec...
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04/05/2019
High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection
Object detection generally requires sliding-window classifiers in tradit...
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03/18/2019
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation
This work develops a novel end-to-end deep unsupervised learning method ...
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07/04/2018
Diversity in Machine Learning
Machine learning methods have achieved good performance and been widely ...
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02/10/2014