Výsledky vyhledávání - "Spatio-temporal autoencoder"

MDSTA: masked diffusion spatio-temporal autoencoder for multimodal remote sensing image classification

Autoři: Zongqin Yue Jindong Xu Ziyi Li a další

Zdroj: International Journal of Remote Sensing. 46:4215-4240

Map-Informed Trajectory Recovery With Adaptive Spatio-Temporal Autoencoder

Autoři: Yongchao Ye Ao Wang Adnan Zeb a další

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 26:102-115

A Decoupled Spatio-Temporal Autoencoder for Anomaly Detection in Industrial Control Systems

Autoři: zhilei Yan Jinjiang Wang zhenqiang Wei a další

Fault detection for lithium-ion batteries of electric vehicles with spatio-temporal autoencoder

Autoři: Heng Li Zhijun Liu Muaaz Bin Kaleem a další

Zdroj: Applied Energy. 392:125933

Detecting Cyber Attacks in Industrial Control Systems Using Spatio-Temporal Autoencoder

Autoři: Bin Lan Shunzheng Yu

Zdroj: 2023 International Joint Conference on Neural Networks (IJCNN). :1-8

Spatio-Temporal AutoEncoder for Traffic Flow Prediction

Autoři: Mingzhe Liu Tongyu Zhu Junchen Ye a další

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 24:5516-5526

Témata: 0502 economics and business, 05 social sciences

Reverse erasure guided spatio-temporal autoencoder with compact feature representation for video anomaly detection

Autoři: Yuanhong Zhong Xia Chen Jinyang Jiang a další

Zdroj: Science China Information Sciences. 65

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Abnormal Event Detection in Videos Using Hybrid Spatio-Temporal Autoencoder

Autoři: Lin Wang Fuqiang Zhou Haishu Tan a další

Zdroj: 2018 25th IEEE International Conference on Image Processing (ICIP). :2276-2280

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Spatio-temporal autoencoder for feature learning in patient data with missing observations

Autoři: Yao Jia Chongyu Zhou Mehul Motani

Zdroj: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). :886-890

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://dblp.uni-trier.de/db/conf/bibm/bibm2017.html#JiaZM17
https://dblp.uni-trier.de/db/conf/bibm/bibm2017.html#JiaZM17

Spatio-Temporal AutoEncoder for Video Anomaly Detection

Autoři: Yiru Zhao Hongtao Lu Chen Shen a další

Zdroj: Proceedings of the 25th ACM international conference on Multimedia. :1933-1941

Témata: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://dblp.uni-trier.de/db/conf/mm/mm2017.html#ZhaoDSLLH17
https://dl.acm.org/citation.cfm?id=3123451
https://doi.org/10.1145/3123266.3123451
https://dl.acm.org/doi/pdf/10.1145/3123266.3123451
https://dblp.uni-trier.de/db/conf/mm/mm2017.html#ZhaoDSLLH17
https://doi.acm.org/10.1145/3123266.3123451

MDSTA: masked diffusion spatio-temporal autoencoder for multimodal remote sensing image classification.

Autoři: Yue, Zongqin Xu, Jindong Li, Ziyi a další

Zdroj: International Journal of Remote Sensing; Jun2025, Vol. 46 Issue 11, p4215-4240, 26p

Témata: IMAGE recognition (Computer vision), REMOTE sensing, AUTOENCODERS, DEEP learning, ACQUISITION of data

Detecting Real World Anomalies in Video using Spatio-Temporal Autoencoder

利用時空自動編碼器檢測視頻中的真實異常

Autoři: LIN, PO-JU 林伯儒

Thesis Advisors: LIN, PO-JU 林伯儒

Popis souboru: 43

Dostupnost: http://ndltd.ncl.edu.tw/handle/cu24nu

Reverse erasure guided spatio-temporal autoencoder with compact feature representation for video anomaly detection.

Autoři: Zhong, Yuanhong Chen, Xia Jiang, Jinyang a další

Zdroj: SCIENCE CHINA Information Sciences; Sep2022, Vol. 65 Issue 9, p1-3, 3p

Self-Extubation Early Warning via Autoencoder Anomaly Detection and a Novel Simulator for Quantitative Evaluation.

Autoři: Sakaguchi, Yuya Fujita, Takayuki Kobashi, Syoji

Zdroj: Procedia Computer Science. 2025, Vol. 270, p4957-4966. 10p.

Témata: Extubation, Autoencoders, Outlier detection, Quantitative research, Synthetic training devices, Intensive care units, Capacitive sensors, Detection algorithms

Spatio-temporal adversarial learning for detecting unseen falls.

Autoři: Khan, Shehroz S. Nogas, Jacob Mihailidis, Alex

Zdroj: Pattern Analysis & Applications; 2021, Vol. 24 Issue 1, p381-391, 11p

Témata: ACCIDENTAL fall prevention, MACHINE learning, ACTIVITIES of daily living, DATA privacy

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data

Autoři: Miao, Hao Zhao, Yan Guo, Chenjuan a další

Témata: Computer Science - Databases, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2404.14999

Spatio-Temporal Adversarial Learning for Detecting Unseen Falls

Autoři: Khan, Shehroz S. Nogas, Jacob Mihailidis, Alex

Témata: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1905.07817

Real-Time Intelligent Video Surveillance System using Recurrent Neural Network.

Autoři: Br, Pooja N, Rajkumar

Zdroj: Procedia Computer Science. 2024, Vol. 235, p1522-1531. 10p.

Témata: Deep learning, Recurrent neural networks, Video surveillance, Computer vision

Flow field prediction in bed configurations: A parametric spatio-temporal convolutional autoencoder approach.

Autoři: Mjalled, Ali Namdar, Reza Reineking, Lucas a další

Zdroj: Numerical Heat Transfer: Part B -- Fundamentals; 2025, Vol. 86 Issue 12, p4247-4270, 24p

Témata: FLUID flow, REDUCED-order models, PROPER orthogonal decomposition, OPTIMIZATION algorithms, NEURAL computers, DEEP learning

MAET: A Generalizable Masked Autoencoding Framework for Anomaly Detection in Time-Series Data.

Autoři: Wang, Qiang Zhu, Haiqi Zhang, Wei a další

Zdroj: Journal of Signal Processing Systems for Signal, Image & Video Technology; Dec2025, Vol. 97 Issue 5/6, p281-291, 11p