Výsledky vyhledávání - commonality autoencoder

Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images

Autoři: Yue Wu Jiaheng Li Yongzhe Yuan a další

Přispěvatelé: Yue Wu Jiaheng Li Yongzhe Yuan a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 33:4257-4270

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

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/33600325
https://pubmed.ncbi.nlm.nih.gov/33600325/
https://www.ncbi.nlm.nih.gov/pubmed/33600325
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9357940

AEKAN: Exploring Superpixel-Based AutoEncoder Kolmogorov-Arnold Network for Unsupervised Multimodal Change Detection

Autoři: Tongfei Liu Jianjian Xu Tao Lei a další

Zdroj: IEEE Transactions on Geoscience and Remote Sensing. 63:1-14

Témata: Earth sciences, Engineering

Deep contrastive multi-view clustering with doubly enhanced commonality.

Autoři: Yang, Zhiyuan Zhu, Changming Li, Zishi

Zdroj: Multimedia Systems. Aug2024, Vol. 30 Issue 4, p1-12. 12p.

Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images.

Autoři: Wu, Yue Li, Jiaheng Yuan, Yongzhe a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Sep2022, Vol. 33 Issue 9, p4257-4270, 14p

Témata: SYNTHETIC apertures, ARTIFICIAL neural networks, SYNTHETIC aperture radar, FEATURE extraction, IMAGE representation

User Invariant Preference Learning for Multi-Behavior Recommendation.

Autoři: Yan, Mingshi Cheng, Zhiyong Liu, Fan a další

Zdroj: ACM Transactions on Information Systems. Jul2025, Vol. 43 Issue 4, p1-24. 24p.

Témata: *FORECASTING, *RECOMMENDER systems, AUTOENCODERS, INDIVIDUALITY, NOISE

An autoencoder based unsupervised clustering approach to analyze the effect of E-learning on the mental health of Indian students during the Covid-19 pandemic.

Autoři: Banerjee, Pritha Jana, Chandan Saha, Jayita a další

Zdroj: Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 22, p25959-25979, 21p

Témata: MENTAL health, ONLINE education, STUDENTS, DATA analysis, DIGITAL learning, AUTOENCODERS, COVID-19 pandemic, SELF-organizing systems

Geografický termín: INDIA

Hybrid domain adaptation for sensor-based human activity recognition in a heterogeneous setup with feature commonalities.

Autoři: Prabono, Aria Ghora Yahya, Bernardo Nugroho Lee, Seok-Lyong

Zdroj: Pattern Analysis & Applications. Nov2021, Vol. 24 Issue 4, p1501-1511. 11p.

Témata: *HUMAN activity recognition, *HOMOGENEOUS spaces

An improved autoencoder for denoising acoustic emission signals in rock fracturing.

Autoři: Wang, Tingting Qin, Yifan Zhao, Wanchun a další

Zdroj: Nondestructive Testing & Evaluation; Jun2025, Vol. 40 Issue 6, p2572-2597, 26p

Témata: ACOUSTIC emission, AUTOENCODERS, STANDARD deviations, DEEP learning, SIGNAL-to-noise ratio, EMISSION control, ACOUSTIC emission testing

TGICP: A Text-Gated Interaction Network with Inter-Sample Commonality Perception for Multimodal Sentiment Analysis.

Autoři: Tian, Erlin Zhao, Shuai Huang, Min a další

Zdroj: Computers, Materials & Continua; 2025, Vol. 85 Issue 1, p1427-1456, 30p

Témata: EMOTION recognition, SENTIMENT analysis, MULTIMODAL user interfaces, SOCIAL media, EMOTIONS, INFORMATION theory

SwinDAE: Electrocardiogram Quality Assessment Using 1D Swin Transformer and Denoising AutoEncoder

Autoři: Guanyu Chen Tianyi Shi Baoxing Xie a další

Zdroj: IEEE Journal of Biomedical and Health Informatics. 27:5779-5790

Témata: Benchmarking, Electrocardiography, Electric Power Supplies, Research Design, Humans, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37698969

Importance weighted variational graph autoencoder.

Autoři: Tao, Yuhao Guo, Lin Zhao, Shuchang a další

Zdroj: Complex & Intelligent Systems; Jan2026, Vol. 12 Issue 1, p1-16, 16p

Multi-Source Data with Laplacian Eigenmaps and Denoising Autoencoder for Predicting Microbe-Disease Associations via Convolutional Neural Network.

Autoři: Lei, Xiu-Juan Chen, Ya-Li Pan, Yi

Zdroj: Journal of Computer Science & Technology (10009000); Mar2025, Vol. 40 Issue 2, p588-604, 17p

Témata: CONVOLUTIONAL neural networks, AUTOENCODERS, GRAPH algorithms, NERVOUS system, BIPOLAR disorder

BrainLM: Enhancing Brain Encoding and Decoding Capabilities with Applications in Multilingual Learning.

Autoři: Luo, Ying Kobayashi, Ichiro

Zdroj: Journal of Advanced Computational Intelligence & Intelligent Informatics; Jul2025, Vol. 29 Issue 4, p754-767, 14p

Témata: LANGUAGE models, AUTOENCODERS, STATISTICAL correlation, ENCODING, GENERALIZATION

Multi-UAVs task allocation method based on MPSO-SA-DQN.

Autoři: Pengfei, Peng Xue, Gong Yalian, Zheng

Zdroj: Measurement & Control (0020-2940); Aug2025, Vol. 58 Issue 8, p963-978, 16p

Témata: REINFORCEMENT learning, DEEP reinforcement learning, MACHINE learning, AUTOENCODERS, SIMULATED annealing, PARTICLE swarm optimization

Self-Supervised Autoencoders for Visual Anomaly Detection.

Autoři: Bauer, Alexander Nakajima, Shinichi Müller, Klaus-Robert

Zdroj: Mathematics (2227-7390); Dec2024, Vol. 12 Issue 24, p3988, 40p

Témata: ORTHOGRAPHIC projection, AUTOENCODERS, DATA distribution, NOISE, ARGUMENT

Dmvae: a dual-stream multi-modal variational autoencoder for multi-task fake news detection.

Autoři: Guo, Ying Hu, Shuting Li, Yao a další

Zdroj: Pattern Analysis & Applications; Jun2025, Vol. 28 Issue 2, p1-12, 12p

VAE-Assisted Data Augmentation for Improved Molecular Prediction with Graph Neural Networks (GNNs) in Low-Data Regimes.

Autoři: Marchan, Gabriela C. Theis Naghshnejad, Pegah Okafor, Andrew a další

Zdroj: CET Journal - Chemical Engineering Transactions; 2025, Vol. 117, p1021-1026, 6p

Témata: DATA augmentation, GRAPH neural networks, CHEMICAL libraries, AUTOENCODERS

Disentangle the group and individual components of functional connectome with autoencoders

Autoři: Zhaodi Pei Zhiyuan Zhu Zonglei Zhen a další

Zdroj: Neural Networks. 181:106786

Témata: Connectome, Humans, Brain, Nerve Net, Magnetic Resonance Imaging

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39423491

G&G Attack: General and Geometry-Aware Adversarial Attack on the Point Cloud.

Autoři: Chen, Geng Zhang, Zhiwen Peng, Yuanxi a další

Zdroj: Applied Sciences (2076-3417); Jan2025, Vol. 15 Issue 1, p448, 21p

Témata: ARTIFICIAL neural networks, POINT cloud, AUTOENCODERS, INVISIBILITY, GENERALIZATION

Multifractal-Aware Convolutional Attention Synergistic Network for Carbon Market Price Forecasting.

Autoři: Wei, Liran Tang, Mingzhu Li, Na a další

Zdroj: Fractal & Fractional; Jul2025, Vol. 9 Issue 7, p449, 25p

Témata: MULTIFRACTALS, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, FLUCTUATIONS (Physics), STOCK price forecasting, CARBON offsetting

Geografický termín: SHANGHAI (China)