Suchergebnisse - spatial and temporal autoencoder~

STAR: A Spatial-Temporal Autoencoder for EEG Restoration in Emotion Recognition

Autoren: Hao-Long Yin Wei-Long Zheng Bao-Liang Lu

Quelle: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Spatial–Temporal Heatmap Masked Autoencoder for Skeleton-Based Action Recognition

Autoren: Cunling Bian Yang Yang Tao Wang et al.

Quelle: Sensors, Vol 25, Iss 10, p 3146 (2025)

Schlagwörter: skeleton-based action recognition, self-supervised learning, masked autoencoder, spatial–temporal heatmap, visual transformer, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/10/3146; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/929ac99851424f9990f1a3ab1111c257

Masked Autoencoders for Spatial–Temporal Relationship in Video-Based Group Activity Recognition

Autoren: Rajeshwar Yadav Raju Halder Gourinath Banda

Quelle: IEEE Access, Vol 12, Pp 132084-132095 (2024)

Schlagwörter: Group activity recognition (GAR), hostage crime, IITP hostage dataset, spatial and temporal interaction, vision transformer, masked autoencoder, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10670541/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/b58a46846c944590894e46fb0b780f24

Robust Spatial-Temporal Autoencoder for Unsupervised Anomaly Detection of Unmanned Aerial Vehicle With Flight Data

Autoren: Guoqian Jiang Pengcheng Nan Jingchao Zhang et al.

Quelle: IEEE Transactions on Instrumentation and Measurement. 73:1-14

Stacked Spatial–Temporal Autoencoder for Quality Prediction in Industrial Processes

Autoren: Feng Yan Chunjie Yang Xinmin Zhang

Quelle: IEEE Transactions on Industrial Informatics. 19:8625-8634

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

Method, System, and Computer Program Product for Spatial-Temporal Prediction Using Trained Spatial-Temporal Masked Autoencoders

Clustering-Based Identification of Energy Retrofitting Strategies in Italian Buildings: Integrating Weather Data, Spatial Data and Autoencoder-Enhanced Models

Autoren: Barros, Diogo Novo de Santos, Vítor Manuel Pereira Duarte dos Anastasiadou, Maria et al.

Weitere Verfasser: Barros, Diogo Novo de Santos, Vítor Manuel Pereira Duarte dos Anastasiadou, Maria et al.

Schlagwörter: Energy Retrofit, Energy Performance, Artificial Intelligence, Machine Learning, Autoencoders, GIS, Spatial Factors, Certification, Buildings, SDG 7 - Affordable and clean energy, SDG 9 - Industry, innovation and infrastructure, SDG 11 - Sustainable cities and communities, SDG 13 - Climate action, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10362/190838

A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder

Autoren: Zhang, Lixian Zhao, Yi Dong, Runmin et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2406.08079

Spatial-Temporal Cooperative In-Vehicle Network Intrusion Detection Method Based on Federated Learning

Autoren: Liu Tao Zhao Xiyang

Quelle: IEEE Access, Vol 13, Pp 97194-97207 (2025)

Schlagwörter: Intrusion detection, controller area network, federated learning, transformer autoencoder, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11021492/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/df419850deb1409da7a3466b220f8073

Temporal and spatial patterns differences of basal and cognitive brain states

Autoren: Capouskova, Katerina

Weitere Verfasser: University/Department: Universitat Pompeu Fabra. Departament de Medicina i Ciències de la Vida

Thesis Advisors: Deco, Gustavo

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Functional connectivity, Brain states, Integration, Segregation, Entropy, Conectividad funcional, Estados cerebrales, Integración, Segregación, Entropía

Time: 616.8

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/687763

Concatenated Masked Autoencoders as Spatial-Temporal Learner

Autoren: Jiang, Zhouqiang Wang, Bowen Xiang, Tong et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2311.00961

Spatial-Temporal Autoencoder with Attention Network for Video Compression

Autoren: Neetu Sigger Naseer Al-Jawed Tuan Nguyen et al.

Weitere Verfasser: Neetu Sigger Naseer Al-Jawed Tuan Nguyen et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783031064326

Schlagwörter: QA75, N1

Dateibeschreibung: application/pdf

Zugangs-URL: http://gala.gre.ac.uk/id/eprint/36020/7/36020_NGUYEN_Spatial_temporal_autoencoder.pdf

SkeletonMAE: Spatial-Temporal Masked Autoencoders for Self-supervised Skeleton Action Recognition

Autoren: Wu, Wenhan Hua, Yilei Zheng, Ce et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2209.02399

Efficient identification of Alzheimer’s brain dynamics with Spatial-Temporal Autoencoder: A deep learning approach for diagnosing brain disorders

Autoren: Lingyun Wu Quanfa Zhao Jing Liu et al.

Quelle: Biomedical Signal Processing and Control. 86:104917

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks

Autoren: Bahar, Atmane Ayoub Mansour Ferrahi, Kamel Soaid Messai, Mohamed-Lamine et al.

Index Begriffe: Computer Science - Cryptography and Security, Computer Science - Artificial Intelligence, Computer Science - Networking and Internet Architecture, text

URL: http://arxiv.org/abs/2501.02981

Spatial-temporal deep learning model based on Similarity Principle for dock shared bicycles ridership prediction

Autoren: Zhao, Jiahui Liu, Pan Li, Zhibin et al.

Quelle: Journal of Transport and Land Use, 2024 Jan 01. 17(1), 115-142.

Zugangs-URL: https://www.jstor.org/stable/48829202

High performance computing and artificial intelligence algorithms for dimensionality reduction of turbulent flows

Autoren: Eiximeno Franch, Benet

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament de Física

Thesis Advisors: Rodríguez Pérez, Ivette María, Lehmkuhl Barba, Oriol

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: reduced order models, high performance computing, deep learning, singular value decomposition, variational autoencoders, Àrees temàtiques de la UPC::Física, Àrees temàtiques de la UPC::Informàtica, 531/534 - Mecànica. Vibracions. Acústica, 004 - Informàtica

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/695826
https://dx.doi.org/10.5821/dissertation-2117-446576

Spatial-temporal autoencoder with attention network for video compression

Autoren: Sigger, Neetu Al-Jawed, Naseer Nguyen, Tuan et al.

Weitere Verfasser: Sigger, Neetu Al-Jawed, Naseer Nguyen, Tuan et al.

Schlagwörter: N Visual arts (General) For photography, see TR, QA75 Electronic computers. Computer science

Dateibeschreibung: application/pdf

Relation: http://gala.gre.ac.uk/id/eprint/36020/7/36020_NGUYEN_Spatial_temporal_autoencoder.pdf; Sigger, Neetu, Al-Jawed, Naseer and Nguyen, Tuan ORCID logoorcid:0000-0003-0055-8218 (2022) Spatial-temporal autoencoder with attention network for video compression. In: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Online. February 6-8, 2022. Computer Vision Theory and Applications (VISAPP), 4 . Computer Vision Theory and Applications (VISAPP) - SCITEPRESS Digital Library, Setúbal, Portugal, pp. 364-371. ISBN 978-9897585555; ISSN 2184-4321 (doi:10.5220/0010811900003124 )

Verfügbarkeit: http://gala.gre.ac.uk/id/eprint/36020/
http://gala.gre.ac.uk/id/eprint/36020/7/36020_NGUYEN_Spatial_temporal_autoencoder.pdf
https://doi.org/10.5220/0010811900003124

Graph Masked Autoencoder for Spatio-Temporal Graph Learning

Autoren: Zhang, Qianru Wang, Haixin Yiu, Siu-Ming et al.

Index Begriffe: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2410.10915

Temporal-spatial hierarchical contrastive learning for misinformation detection: A public-behavior perspective.

Autoren: Ren, Gang Jiang, Li Huang, Tingting et al.

Quelle: Information Processing & Management. Jul2025, Vol. 62 Issue 4, pN.PAG-N.PAG. 1p.

Schlagwörter: *Social media, *Misinformation, Autoencoder, Cognitive bias, Collaborative learning