Browsing Waterloo Research by Subject "Deep learning"
Now showing items 1-2 of 2
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Deep Residual Networks for Hyperspectral Image Classification
(Institute of Electrical and Electronics Engineers, 2017-07-25)Deep neural networks can learn deep feature representation for hyperspectral image (HSI) interpretation and achieve high classification accuracy in different datasets. However, counterintuitively, the classification ... -
Development of a global road safety performance function using deep neural networks
(Elsevier, 2017-08-01)This paper explores the idea of applying a machine learning approach to develop a global road safety performance function (SFP) that can be used to predict the expected crash frequencies of different highways from different ...