Výsledky vyhľadávania - "Multimodal Variational Autoencoder"

Multimodal Variational Autoencoder: A Barycentric View

Autori: Qiu, Peijie Zhu, Wenhui Kumar, Sayantan a ďalší

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 39:20060-20068

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Information Theory, Computer Vision and Pattern Recognition (cs.CV), Information Theory (cs.IT), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2412.20487

Improving News Recommendation Accuracy Through Multimodal Variational Autoencoder and Adversarial Training

Autori: Pei Tang Shuo Zhu Bilal Alatas

Zdroj: IEEE Access, Vol 13, Pp 85269-85278 (2025)

Predmety: multi-head attention mechanismmeta-learning, convolutional neural networks, deep learning, Variational autoencoder, Electrical engineering. Electronics. Nuclear engineering, generative adversarial networks, multimodal recommender systems, TK1-9971

Prístupová URL adresa: https://doaj.org/article/f4499787f0d249e18df95bcecd7a8942

Multimodal emotion recognition with disentangled representations: private-shared multimodal variational autoencoder and long short-term memory framework

Autori: Behzad Mahaseni Naimul Mefraz Khan

Zdroj: Empathic Computing.

Multimodal variational autoencoder for inverse problems in geophysics: application to a 1-D magnetotelluric problem

Autori: Oscar Rodriguez Jamie M Taylor David Pardo

Zdroj: BIRD. BCAM's Institutional Repository Data
instname

Predmety: Magnetotellurics, Numerical modelling, Probabilistic forecasting, Variational autoencoder, Inverse theory, Multimodal Models, 01 natural sciences, Statistical method, 0105 earth and related environmental sciences

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/20.500.11824/1732
https://hdl.handle.net/20.500.11824/1732

Text Representation through Multimodal Variational Autoencoder for One-Class Learning

Autori: Marcos Paulo Silva Gôlo Ricardo Marcondes Marcacini

Zdroj: Anais Estendidos do XXIX Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia 2023). :19-22

Diagonal Cross-Model Prediction in Single-Cell Sequencing Using Multimodal Variational Autoencoder (MMVAE) By Reagan Ondiek

Autori: Ondiek, Reagan

iMVAN: integrative multimodal variational autoencoder and network fusion for biomarker identification and cancer subtype classification

Autori: Arwinder Dhillon Ashima Singh Vinod Kumar Bhalla

Zdroj: Applied Intelligence. 53:26672-26689

Cutting anomaly detection in end-milling by multimodal variational autoencoder

Autori: Kazuya ODA Haruhiko SUWA Koji MURAKAMI

Zdroj: Nihon Kikai Gakkai ronbunshu, Vol 89, Iss 918, Pp 22-00290-22-00290 (2023)

Predmety: Engineering machinery, tools, and implements, 0209 industrial biotechnology, end-milling, 0203 mechanical engineering, TJ1-1570, multimodal time series, variational autoencoder, generative model, Mechanical engineering and machinery, TA213-215, 02 engineering and technology, unsupervised learning, anomaly detection

Prístupová URL adresa: https://doaj.org/article/3a0338ccd3294587a9f5f0201560f3d0

Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection

Autori: Suvon, Mohammod N. I. Tripathi, Prasun C. Fan, Wenrui a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783031723773

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2403.13658

Bayesian Structural Model Updating with Multimodal Variational Autoencoder

Autori: Itoi, Tatsuya Amishiki, Kazuho Lee, Sangwon a ďalší

Témy: Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Applications, text

URL: http://arxiv.org/abs/2406.09051

Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients With Suspected Central Precocious Puberty

Autori: Yiming Xu Xiaohong Liu Liyan Pan a ďalší

Zdroj: IEEE Journal of Biomedical and Health Informatics. 26:1362-1373

Predmety: Gonadotropin-Releasing Hormone, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Humans, Puberty, Precocious, 02 engineering and technology, Follicle Stimulating Hormone, Luteinizing Hormone, Child, 3. Good health

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34388097
https://ieeexplore.ieee.org/document/9513560
https://pubmed.ncbi.nlm.nih.gov/34388097/

Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder

Autori: Takahiro Ogawa Yusuke Akamatsu Miki Haseyama a ďalší

Zdroj: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1360-1364

Predmety: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/icassp/icassp2021.html#AkamatsuMOH21
https://ieeexplore.ieee.org/abstract/document/9414361/

Multimodal Variational Autoencoder: a Barycentric View

Autori: Qiu, Peijie Zhu, Wenhui Kumar, Sayantan a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Information Theory, text

URL: http://arxiv.org/abs/2412.20487

Fake News Detection Using BERT-VGG19 Multimodal Variational Autoencoder

Autori: Ramji Jaiswal Upendra Pratap Singh Krishna Pratap Singh

Zdroj: 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). :1-5

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

Bayesian structural model updating with multimodal variational autoencoder

Autori: Tatsuya Itoi Kazuho Amishiki Sangwon Lee a ďalší

Zdroj: Computer Methods in Applied Mechanics and Engineering. 429:117148

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Machine Learning (stat.ML), Applications (stat.AP), Statistics - Applications, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2406.09051

Multimodal Diagonal Cross-generation Challenge Using A Multimodal Variational Autoencoder (MMVAE) Model By Reagan Ondiek

Autori: Ondiek, Reagan

Anomaly Detection of Cutting Tool in End-milling by Multimodal Variational Autoencoder / マルチモーダル変分自己符号化器を用いたエンドミル加工時の工具異常検知

Autori: Haruhiko SUWA Kazuya ODA 小田 和哉 a ďalší

Zdroj: The Proceedings of Mechanical Engineering Congress, Japan. 2021, :J121-02

AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation

Autori: Wen Youpeng Guo Yiju Zhao Liang a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783030863616

Prístupová URL adresa: https://link.springer.com/chapter/10.1007/978-3-030-86362-3_32
https://dblp.uni-trier.de/db/conf/icann/icann2021-1.html#YoupengLYL21

MVAE: Multimodal Variational Autoencoder for Fake News Detection

Autori: Manish Gupta Dhruv Khattar Vasudeva Varma a ďalší

Zdroj: The World Wide Web Conference. :2915-2921

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

Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder

Autori: Hirasawa, Kaito Maeda, Keisuke Ogawa, Takahiro a ďalší

Témy: multimodal variational autoencoder, detection of important scenes, Twitter, sports video, time-lags, 007, article

URL: http://hdl.handle.net/2115/82209