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Fletta eftir efnisorði "Deep learning"

Fletta eftir efnisorði "Deep learning"

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    Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification 
    Zhu, Kaiqiang; Chen, Yushi; Ghamisi, Pedram; Jia, Xiuping; Benediktsson, Jon Atli (MDPI AG, 2019-01-22)
    Capsule networks can be considered to be the next era of deep learning and have recently shown their advantages in supervised classification. Instead of using scalar values to represent features, the capsule networks use vectors to represent features, ...
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    Hyperspectral Unmixing Using a Neural Network Autoencoder 
    Palsson, Burkni; Sigurdsson, Jakob; Sveinsson, Jóhannes Rúnar; Ulfarsson, Magnus (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    In this paper, we present a deep learning based method for blind hyperspectral unmixing in the form of a neural network autoencoder. We show that the linear mixture model implicitly puts certain architectural constraints on the network, and it effectively ...
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    SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder 
    Atlason, Hans; Love, Askell; Sigurdsson, Sigurdur; Gudnason, Vilmundur; Ellingsen, Lotta María (Elsevier BV, 2019)
    White matter hyperintensities (WMHs) of presumed vascular origin are frequently observed in magnetic resonance images (MRIs) of the elderly. Detection and quantification of WMHs is important to help doctors make diagnoses and evaluate prognosis of their ...