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1篇 您的检索式：作者名="Piero Coronica"

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		题名	作者	年代	出处	被引量
	1	Deep Learning,Feature Learning,and Clustering Analysis for SEM Image Classification显示文摘In this paper,we report upon our recent work aimed at improving and adapting machine learning algorithms to automatically classify nanoscience images acquired by the Scanning Electron Microscope(SEM).This is done by coupling supervised and unsupervised learning approaches.We first investigate supervised learning on a ten-category data set of images and compare the performance of the different models in terms of training accuracy.Then,we reduce the dimensionality of the features through autoencoders to perform unsupervised learning on a subset of images in a selected range of scales(from 1μm to 2μm).Finally,we compare different clustering methods to uncover intrinsic structures in the images.	Rossella Aversa Piero Coronica Cristiano De Nobili Stefano Cozzini	2020	Data Intelligence2020，2，4：	0

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