Suchergebnisse - Spatial-Temporal Autoencoder*

Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network: Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network von Zhang, Yan, Cao, Jie, Zhao, Xiaoqiang, Hui, Yongyong

“… to prediction performance. Therefore, a denoising autoencoder-Spatial Temporal Convolution Attention Fusion Network (DAE-STCAFN …”
Volltext

Stacked Spatial-Temporal Autoencoder for Quality Prediction in Industrial Processes von Yan, Feng, Yang, Chunjie, Zhang, Xinmin

“… Therefore, in this paper, a stacked spatial-temporal autoencoder (S 2 TAE) is proposed to enhance the representation learning capability for soft sensor modeling by taking the spatial-temporal correlations into consideration …”
Volltext

Efficient identification of Alzheimer’s brain dynamics with Spatial-Temporal Autoencoder: A deep learning approach for diagnosing brain disorders von Wu, Lingyun, Zhao, Quanfa, Liu, Jing, Yu, Haitao

“… •A Spatial-Temporal Autoencoder (STAE) framework was designed to estimate latent factors of EEG via unsupervised learning …”
Volltext

A novel spatial–temporal generative autoencoder for wind speed uncertainty forecasting von Ma, Long, Huang, Ling, Shi, Huifeng

“… –temporal correlation between wind turbines. In this paper, based on variational Bayesian inference, we propose a novel spatial …”
Volltext

Multivariate time series anomaly detection with variational autoencoder and spatial–temporal graph network von Guan, Siwei, He, Zhiwei, Ma, Shenhui, Gao, Mingyu

“… –temporal graph networks and variational autoencoder (VAE). It employs …”
Volltext

Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction von Peng, Haifei, Long, Jian, Huang, Cheng, Wei, Shibo, Ye, Zhencheng

Volltext

Spatial–Temporal Heatmap Masked Autoencoder for Skeleton-Based Action Recognition von Bian, Cunling, Yang, Yang, Wang, Tao, Lu, Weigang

“… In this work, we propose the Spatial–Temporal Heatmap Masked Autoencoder (STH-MAE), a novel self-supervised framework tailored for skeleton-based action recognition …”
Volltext

Masked Autoencoders for Spatial-Temporal Relationship in Video-Based Group Activity Recognition von Yadav, Rajeshwar, Halder, Raju, Banda, Gourinath

“… Group Activity Recognition (GAR) is a challenging problem involving several intricacies. The core of GAR lies in delving into spatiotemporal features to …”
Volltext

Network traffic classification using deep convolutional recurrent autoencoder neural networks for spatial–temporal features extraction von D’Angelo, Gianni, Palmieri, Francesco

“… For this purpose, a novel autoencoder-based deep neural network architecture …”
Volltext

A Spatial-Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes von Lv, Mingjie, Li, Yonggang, Liang, Huiping, Sun, Bei, Yang, Chunhua, Gui, Weihua

“… A spatial-temporal variational graph attention autoencoder (STVGATE) using interactive information is proposed for fault detection, which aims to effectively capture the spatial and temporal features of the interconnected …”
Volltext

Robust Spatial-Temporal Autoencoder for Unsupervised Anomaly Detection of Unmanned Aerial Vehicle With Flight Data von Jiang, Guoqian, Nan, Pengcheng, Zhang, Jingchao, Li, Yingwei, Li, Xiaoli

“… Specifically, we designed a new robust spatial-temporal autoencoder (RSTAE) model based on the temporal convolution network (TCN …”
Volltext

Spatial-Temporal Cascade Autoencoder for Video Anomaly Detection in Crowded Scenes von Li, Nanjun, Chang, Faliang, Liu, Chunsheng

“… ". In this paper, we propose a cuboid-patch-based method characterized by a cascade of classifiers called a spatial-temporal cascade autoencoder (ST-CaAE …”
Volltext

STAR: A Spatial-Temporal Autoencoder for EEG Restoration in Emotion Recognition von Yin, Hao-Long, Zheng, Wei-Long, Lu, Bao-Liang

“… To overcome these challenges, we introduce the Spatial-Temporal Autoencoder for EEG Restoration (STAR …”
Volltext

Trust-aware denoising autoencoder with spatial-temporal activity for cross-domain personalized recommendations von Ahmed, Adeel, Saleem, Khalid, Khalid, Osman, Gao, Jiechao, Rashid, Umer

Volltext

Multimodal Multi-View Spectral-Spatial-Temporal Masked Autoencoder for Self-Supervised Emotion Recognition von Gao, Pengxuan, Liu, Tianyu, Liu, Jia-Wen, Lu, Bao-Liang, Zheng, Wei-Long

“… In this paper, we propose a Multimodal Multi-view Spectral-Spatial-Temporal Masked Autoencoder (Multimodal MV-SSTMA …”
Volltext

Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network von Li, Nanjun, Chang, Faliang, Liu, Chunsheng

“… The global component is utilized to compute local component. The local component sequences are then input to our network for capturing normal spatial-temporal motion patterns of human skeleton …”
Volltext

Sensor Spoofing Detection On Autonomous Vehicle Using Channel-spatial-temporal Attention Based Autoencoder Network von Zhou, Man, Han, Lansheng

“… In response, this paper proposes a channel-spatial-temporal attention-based autoencoder network to detect sensor spoofing attacks on autonomous vehicles …”
Volltext

Spatial-temporal hierarchical decoupled masked autoencoder: A self-supervised learning framework for electrocardiogram von Wei, Xiaoyang, Li, Zhiyuan, Tian, Yuanyuan, Wang, Mengxiao, Jin, Yanrui, Ding, Weiping, Liu, Chengliang

“… In this paper, we propose a Spatial-Temporal Hierarchical Decoupled Masked Autoencoder (STHD-MAE). This framework decouples ECG into isolated leads or time steps …”
Volltext

Skeletonmae: Spatial-Temporal Masked Autoencoders for Self-Supervised Skeleton Action Recognition von Wu, Wenhan, Hua, Yilei, Zheng, Ce, Wu, Shiqian, Chen, Chen, Lu, Aidong

“… Inspired by the MAE [1], we propose a spatial-temporal masked autoencoder framework for self-supervised 3D skeleton-based action recognition (SkeletonMAE …”
Volltext

Distributed temporal–spatial neighbourhood enhanced variational autoencoder for multiunit industrial plant‐wide process monitoring von Yao, Zongyu, Jiang, Qingchao, Gu, Xingsheng, Pan, Chunjian

“… In this paper, a novel distributed temporal–spatial neighbourhood enhanced variational autoencoder (DTS‐VAE …”
Volltext