Suchergebnisse - Stack Convolutional Denoising Autoencoder

SDCA: a novel stack deep convolutional autoencoder – an application on retinal image denoising von Ghosh, Swarup Kr, Biswas, Biswajit, Ghosh, Anupam

“… This study represents a deep learning based approach to denoising images and restoring features using stack denoising convolutional autoencoder …”
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SDCAE: Stack Denoising Convolutional Autoencoder Model for Accident Risk Prediction Via Traffic Big Data von Chen, Chao, Fan, Xiaoliang, Zheng, Chuanpan, Xiao, Lujing, Cheng, Ming, Wang, Cheng

“… However, predicting the risk of citywide accidents remains an open issue. To address this problem, we propose SDCAE, a novel Stack Denoise Convolutional Auto-Encoder algorithm to predict the risk of traffic accident in the city-level …”
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Intelligent Fault Diagnosis Method for Blade Damage of Quad-Rotor UAV Based on Stacked Pruning Sparse Denoising Autoencoder and Convolutional Neural Network von Yang, Pu, Wen, Chenwan, Geng, Huilin, Liu, Peng

“… This paper introduces a new intelligent fault diagnosis method based on stack pruning sparse denoising autoencoder and convolutional neural network (sPSDAE-CNN …”
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On-Device Reliability Assessment and Prediction of Missing Photoplethysmographic Data Using Deep Neural Networks von Singha Roy, Monalisa, Roy, Biplab, Gupta, Rajarshi, Das Sharma, Kaushik

“… This paper describes an on-device reliability assessment from PPG measurements using a stack denoising autoencoder (SDAE …”
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BePCon: A Photoplethysmography-based Quality-aware Continuous Beat-to-Beat Blood Pressure Measurement Technique Using Deep Learning von Roy, Monalisa Singha, Gupta, Rajarshi, Sharma, Kaushik Das

“… This paper presents BePCon, a deep learning-based model for beat-to-beat (BtB) BP measurement using a temporal convolutional network (TCN …”
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Speech Enhancement Autoencoder with Hierarchical Latent Structure von Oostermeijer, Koen, Du, Jun, Wang, Qing, Lee, Chin-Hui

“… A new hierarchical convolutional neural network-based autoencoder architecture called SEHAE …”
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A Study on Semantic Classification of Guangxi Ethnic Folk Dance Movements Incorporating Deep Learning von Zhang, Zhengwu

“… The research of Guangxi’s national folk dance is currently in a booming period. The research is based on deep learning theory, using stack denoising autoencoder …”
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Multilayer Fisher extreme learning machine for classification von Lai, Jie, Wang, Xiaodan, Xiang, Qian, Wang, Jian, Lei, Lei

“… The ML-ELM is constructed from the extreme learning machine autoencoder (ELM-AE), and its generalization performance is affected by the representation learning of the ELM-AE …”
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Fault Diagnosis Method for Rolling Bearings Based on VMD and SDAE-CNN von Wei, Lunpan, Peng, Xiuyan, Cao, Yunpeng

“… Secondly, the high-dimensional feature set is subjected to dimensionality reduction using the Stack Denoising Autoencoder (SDAE …”
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Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering von Li, Yujie, Huang, Heng, Chen, Hanbo, Liu, Tianming

“… By analogy to denoising autoencoder, we hide a portion of each training sample so that the network can learn to recover missing voxels from context …”
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Control System Response Improvement via Denoising Using Deep Neural Networks von Fathi, Kiavash, Mahdavi, Mehdi

“… neural network structures and stack these layers to form a hybrid multilayer filter. The properties …”
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Linear Approximation of Deep Neural Networks for Efficient Inference on Video Data von Rueckauer, Bodo, Liu, Shih-Chii

“… The resulting layer stack is a simple chain of matrix multiplications and bias additions, that can be contracted into a single weight matrix and bias vector …”
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