Suchergebnisse - Quantized Autoencoder

CLIP-FSQAE: Clip-Guided Finite Scalar Quantized Autoencoder for Few-Shot Anomaly Detection

Autoren: Shih-Chih Lin Shang-Hong Lai

Quelle: 2025 IEEE International Conference on Image Processing (ICIP). :313-318

Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder

Autoren: Muhammed Nur Talha Kilic Yuwei Mao Vishu Gupta et al.

Quelle: 2024 International Conference on Machine Learning and Applications (ICMLA). :997-1000

Predicting anatomical variations in radiotherapy with a vector quantized variational autoencoder generative model.

Autoren: Zou Y Li Z Zhang M et al.

Quelle: Medical physics [Med Phys] 2025 Sep; Vol. 52 (9), pp. e18120.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE

MeSH-Schlagworte: Radiotherapy Planning, Computer-Assisted*/methods , Nasopharyngeal Neoplasms*/radiotherapy , Nasopharyngeal Neoplasms*/diagnostic imaging, Humans ; Tomography, X-Ray Computed ; Organs at Risk/radiation effects ; Neural Networks, Computer ; Autoencoder

SSL-VQ: vector-quantized variational autoencoders for semi-supervised prediction of therapeutic targets across diverse diseases.

Autoren: Namba S Li C Yuyama Otani N et al.

Quelle: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Feb 04; Vol. 41 (2).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

MeSH-Schlagworte: Autoencoder* , Disease*/genetics , Drug Discovery*/methods , Supervised Machine Learning*, Humans ; Computational Biology/methods

Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders

Autoren: Song, Jinxiang Lauinger, Vincent Häger, Christian et al.

Quelle: Fysikbaserad djupinlärning för optisk dataöverföring och distribuerad avkänning Frigöra full fiberoptisk kapacitet IET Conference Proceedings. 2023(34):1222-1225

Zugangs-URL: https://research.chalmers.se/publication/542833

VQ-DcTr: Vector-Quantized Autoencoder With Dual-channel Transformer Points Splitting for 3D Point Cloud Completion

Autoren: Ben Fei Weidong Yang Wen-Ming Chen et al.

Quelle: Proceedings of the 30th ACM International Conference on Multimedia. :4769-4778

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

Upsampling of compressed financial time-series data using a jointly trained Vector Quantized Variational Autoencoder neural network

Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset

Autoren: B S Sharmila Rohini Nagapadma

Quelle: Cybersecurity, Vol 6, Iss 1, Pp 1-15 (2023)

Schlagwörter: Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2523-3246

Zugangs-URL: https://doaj.org/article/3b849a72ef8f4ddcb8564d125f9bc097

A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow

Autoren: Momenifar, Mohammadreza Diao, Enmao Tarokh, Vahid et al.

Quelle: 2022 Data Compression Conference (DCC). :01-10

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, 0103 physical sciences, Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Physics - Fluid Dynamics, 01 natural sciences, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2201.03617

Vector-Quantized Autoencoder With Copula for Collaborative Filtering

Autoren: Yong Wang Ting Zhong Kunpeng Zhang et al.

Quelle: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. :3458-3462

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

Zugangs-URL: https://dl.acm.org/doi/pdf/10.1145/3459637.3482216
https://dblp.uni-trier.de/db/conf/cikm/cikm2021.html#WangZXZZW21

Topical vector-quantized variational autoencoders for extractive summarization of video transcripts

Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment

Autoren: Liu, Hao Yan, Wilson Abbeel, Pieter

Index Begriffe: Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2302.00902

VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space

Autoren: Fiche, Guénolé Leglaive, Simon Alameda-Pineda, Xavier et al.

Weitere Verfasser: Fiche, Guénolé Leglaive, Simon Alameda-Pineda, Xavier et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783031729423
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)

Schlagwörter: FOS: Computer and information sciences, Classificació INSPEC::Pattern recognition::Computer vision, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Human mesh recovery, Human pose and shape estimation, Transformers, Computer Vision and Pattern Recognition (cs.CV), Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Computer Science - Computer Vision and Pattern Recognition, Vector quantized autoencoder

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2312.08291
https://api.elsevier.com/content/abstract/scopus_id/85211356626
http://hdl.handle.net/10261/388303
https://hal.science/hal-04644818v1
https://doi.org/10.1007/978-3-031-72943-0_27

Vector-Quantized Autoencoder with Copula for Collaborative Filtering

Autoren: Wang, Guanyu Zhong, Ting Xu, Xovee et al.

Index Begriffe: Collaborative filtering, Gaussian copula, Recommender system, Variational autoencoder, Vector quantisation, Conference paper

URL: http://repository.ust.hk/ir/Record/1783.1-114828
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2021&rft.spage=3458&rft.aulast=Wang&rft.aufirst=&rft.atitle=Vector-Quantized+Autoencoder+with+Copula+for+Collaborative+Filtering&rft.title=International+Conference+on+Information+and+Knowledge+Management%2C+Proceedings
http://www.scopus.com/record/display.url?eid=2-s2.0-85119208580&origin=inward

466.4-Gbit/s PCS-64QAM wireless transmission enhanced by dual-polarized SISO link and vector-quantized variational autoencoders.

Autoren: Liu X Zhang J Zhu M et al.

Quelle: Optics express [Opt Express] 2024 Aug 12; Vol. 32 (17), pp. 29379-29393.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Optica Publishing Group Country of Publication: United States NLM ID: 101137103 Publication Model: Print Cited Medium: Internet ISSN: 1094-4087 (Electronic) Linking ISSN: 10944087 NLM ISO Abbreviation: Opt Express Subsets: PubMed not MEDLINE; MEDLINE

A vector quantized masked autoencoder for audiovisual speech emotion recognition.

Autoren: Sadok, Samir Leglaive, Simon Séguier, Renaud

Quelle: Computer Vision & Image Understanding. Jun2025, Vol. 257, pN.PAG-N.PAG. 1p.

Schlagwörter: Emotion recognition, Autoencoder, Speech, Learning strategies, Classification, Automatic speech recognition

Quantization-Aware Training for Autoencoder-Based Partitioning of CNNs

Autoren: Berg, Oscar Artur Bernd Saqib, Eiraj Jantsch, Axel et al.

Quelle: IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops. :261-266

Schlagwörter: IoT, Knowledge Distillation, Neural Network Partitioning, Quantized Aware Training, YOLOv10

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55249

Digital pathology whole slide image compression with Vector Quantized Variational Autoencoders

Autoren: Keighley, Jason de Kamps, Marc Wright, Alexander et al.

Quelle: MEDICAL IMAGING 2023 Progress in Biomedical Optics and Imaging.

Schlagwörter: Variational Autoencoder, Quantisation, Compression, Pathology, Whole Slide Images, Digital

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-196954

TOPICAL VECTOR-QUANTIZED VARIATIONAL AUTOENCODERS FOR EXTRACTIVE SUMMARIZATION OF VIDEO TRANSCRIPTS

Variable Rate Allocation for Vector-Quantized Autoencoders

Autoren: Baldassarre, Federico El-Nouby, Alaaeldin Jégou, Hervé

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

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-326854