Deep Learning-Based Classification of Hyperspectral Data
Tóm tắt
Từ khóa
Tài liệu tham khảo
salakhutdinov, 0, Deep Boltzmann machines, Proc Int Conf Artif Intell Statist, 448
bengio, 0, Greedy layer-wise training of deep networks, Proc Neural Inf Process Syst, 153
ambikapathi, 0, Convex geometry based outlier-insensitive estimation of number of endmembers in hyperspectral images, Proc IEEE WHISPERS
yu, 0, Learning in the deep structured conditional random fields, Proc Neural Inf Process Syst Workshop, 1
hege, 0, Hyperspectral imaging for astronomy and space surveillance, Proc SPIE 48th Annu Meet Opt Sci Technol, 380
hinton, 2010, A practical guide to training restricted Boltzmann machines
vincent, 2010, Stacked denoising autoencoders, J Mach Learn Res, 11, 3371
zhuo, 0, A genetic algorithm based wrapper feature selection method for classification of hyperspectral images using support vector machine, Proc Geoinformat Joint Conf GIS Built Environ Classif Remote Sens Images Int Soc Opt Photonics, 71471j
krizhevsky, 0, Imagenet classification with deep convolutional neural networks, Proc Neural Inf Process Syst, 1106