Correntropy-Based Autoencoder-Like NMF With Total Variation for Hyperspectral Unmixing
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DOI: 10.1109/lgrs.2020.3020896
Abstract: In order to unmix the hyperspectral imagery (HSI) with better performance, this letter proposes a correntropy-based autoencoder-like nonnegative matrix factorization (NMF) (CANMF) with total variation (CANMF-TV) method. NMF is extensively applied to unmix the mixed… read more here.
Keywords: total variation; like nmf; autoencoder like; autoencoder ... See more keywords
Bearing Defect Classification Algorithm Based on Autoencoder Neural Network
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DOI: 10.1155/2020/6680315
Abstract: The postproduction defect classification and detection of bearings still relies on manual detection, which is time-consuming and tedious. To address this, we propose a bearing defect classification network based on an autoencoder to enhance the… read more here.
Keywords: classification; bearing defect; defect classification; neural network ... See more keywords
Method-Induced Errors in Fractal Analysis of Lung Microscopic Images Segmented with the Use of HistAENN (Histogram-Based Autoencoder Neural Network)
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DOI: 10.3390/app8122356
Abstract: The designing of Computer-Aided Diagnosis (CADx) is necessary to improve patient condition analysis and reduce human error. HistAENN (Histogram-based Autoencoder Neural Network, the first hierarchy level) and the fractal-based estimator (the second hierarchy level) are… read more here.
Keywords: histogram based; analysis; histaenn histogram; method ... See more keywords