Výsledky vyhľadávania - "Graph Convolutional Variational Autoencoder"

Graph variational autoencoder with affinity propagation for community-aware anomaly detection in attributed networks.

Autori: Cao, Zhijie Yang, Chengkun Fan, Xiaoqing a ďalší

Zdroj: Applied Soft Computing. Jan2026:Part D, Vol. 186, pN.PAG-N.PAG. 1p.

Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion

Autori: Bourached, Anthony Gray, Robert Guan, Xiaodong a ďalší

Témy: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Mathematics - Probability, text

URL: http://arxiv.org/abs/2111.12602

Graph-Variational Convolutional Autoencoder-Based Fault Detection and Diagnosis for Photovoltaic Arrays.

Autori: Arifeen, Murshedul Petrovski, Andrei Hasan, Md Junayed a ďalší

Zdroj: Machines; Dec2024, Vol. 12 Issue 12, p894, 15p

Predmety: SOLAR cells, RENEWABLE energy sources, PHOTOVOLTAIC power systems, SOLAR energy, AUTOENCODERS

DeepFaceReshaping: Interactive deep face reshaping via landmark manipulation.

Autori: Chen, Shu-Yu Jiang, Yue-Ren Fu, Hongbo a ďalší

Zdroj: Computational Visual Media; Oct2024, Vol. 10 Issue 5, p949-963, 15p

Predmety: LIBERTY, EDITING, HUMAN beings

Variational autoencoders for 3D data processing.

Autori: Molnár, Szilárd Tamás, Levente

Zdroj: Artificial Intelligence Review; Feb2024, Vol. 57 Issue 2, p1-53, 53p

Turning traffic volume imputation for persistent missing patterns with GNNs.

Autori: Liu, Ruiqiang Kan, Yuheng Zhao, Shuai a ďalší

Zdroj: Applied Intelligence; Jan2023, Vol. 53 Issue 1, p491-508, 18p

Predmety: TRAFFIC flow, TRAFFIC engineering, MISSING data (Statistics), CITY traffic, DIRECTED graphs

Geografický termín: SHANGHAI (China), SHENZHEN (Guangdong Sheng, China : East)

Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning

Autori: Xianyuan Zhan Xiaodu Yang Huiling Qin a ďalší

Zdroj: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. :1370-1378

Predmety: 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/kdd/kdd2021.html#QinZLY021
https://kdd.org/kdd2021/accepted-papers#153
https://dl.acm.org/doi/pdf/10.1145/3447548.3467424

MultiResGNet: Approximating Nonlinear Deformation via Multi‐Resolution Graphs.

Autori: Li, Tianxing Shi, Rui Kanai, Takashi

Zdroj: Computer Graphics Forum; May2021, Vol. 40 Issue 2, p537-548, 12p

Predmety: REPRESENTATIONS of graphs, GENERALIZATION

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis

Autori: Carole H. Sudre Hamid Fehri Tal Arbel a ďalší

Typ zdroja: eBook.

Predmet: Artificial intelligence, Pattern recognition systems, Computer vision, Social sciences—Data processing

Kategórie: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition