Search Results - "sparse autoencoder networks"

Stacked sparse autoencoder networks and statistical shape models for automatic staging of distal femur trochlear dysplasia by Cerveri, Pietro, Belfatto, Antonella, Baroni, Guido, Manzotti, Alfonso

“…Background The quantitative morphological analysis of the trochlear region in the distal femur and the precise staging of the potential dysplastic condition…”
Get full text

Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction by Chen, Luefeng, Zhou, Mengtian, Su, Wanjuan, Wu, Min, She, Jinhua, Hirota, Kaoru

“…Deep neural network (DNN) has been used as a learning model for modeling the hierarchical architecture of human brain. However, DNN suffers from problems of…”
Get full text

Application of Robust Zero-Watermarking Scheme Based on Federated Learning for Securing the Healthcare Data by Han, Baoru, Jhaveri, Rutvij H., Wang, Han, Qiao, Dawei, Du, Jinglong

“…The privacy protection and data security problems existing in the healthcare framework based on the Internet of Medical Things (IoMT) have always attracted…”
Get full text

SAE-Net: A Deep Neural Network for SAR Autofocus by Pu, Wei

“…The sparsity-driven technique is a widely used tool to solve the synthetic aperture radar (SAR) imaging problem. However, it always encounters sensitivity to…”
Get full text

Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data by Zhang, Linjing, Shao, Zhenfeng, Liu, Jianchen, Cheng, Qimin

“…Estimation of forest aboveground biomass (AGB) is crucial for various technical and scientific applications, ranging from regional carbon and bioenergy…”
Get full text

Parameter identification for nonlinear Hammerstein models with stacked sparse autoencoder network by Li, Feng, Song, Liexin, Wang, Tianhu, Liu, Ranran

“…In this paper, a novel parameter identification method is addressed for Hammerstein nonlinear model with stacked sparse autoencoder (SSAE) network. The…”
Get full text

An industrial process fault diagnosis method based on independent slow feature analysis and stacked sparse autoencoder network by Li, Chang, Wen, Chenglin, Zhou, Zhe

Get full text

Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass by Shao, Zhenfeng, Zhang, Linjing, Wang, Lei

“…Timely, spatially complete, and reliable forest above-ground biomass (AGB) data are a prerequisite to support forest management and policy formulation…”
Get full text

Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest by Yang, Na, Zhang, Zhenkai, Yang, Jianhua, Hong, Zenglin

“…According to the characteristic that mineralized-anomaly samples have larger reconstruction errors, traditional autoencoder networks have been applied widely…”
Get full text

Compressive Reconstruction Based on Sparse Autoencoder Network Prior for Single-Pixel Imaging by Zeng, Hong, Dong, Jiawei, Li, Qianxi, Chen, Weining, Dong, Sen, Guo, Huinan, Wang, Hao

“…The combination of single-pixel imaging and single photon-counting technology enables ultra-high-sensitivity photon-counting imaging. In order to shorten the…”
Get full text

Network Intrusion Detection Based on Stacked Sparse Autoencoder and Binary Tree Ensemble Method by Zhang, Baoan, Yu, Yanhua, Li, Jie

“…With the increasing of network attacks, the traditional machine learning method can not solve the classification problem of massive intrusion data effectively…”
Get full text