Výsledky vyhľadávania - sparse denoise autoencoder

Multistage committees of deep feedforward convolutional sparse denoise autoencoder for object recognition

Autori: Kuangrong Hao Shicao Luo Yongsheng Ding

Zdroj: 2015 Chinese Automation Congress (CAC). :565-570

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

Prístupová URL adresa: https://ieeexplore.ieee.org/document/7382564/

Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders

Autori: Marks, Luke Paren, Alasdair Krueger, David a ďalší

Témy: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2411.01220

Flatness pattern recognition based on stacked sparse denoising autoencoder and improved Osprey optimisation algorithm kernel-extreme learning machine.

Autori: Zhou, Yaluo Zhang, Shaochuan Liu, Wenguang a ďalší

Zdroj: Ironmaking & Steelmaking. Jul2025, p1.

Predmety: *FLATNESS measurement, *FEATURE extraction, *OPTIMIZATION algorithms, *SIGNAL denoising, *STEEL strip, *EXTREME learning machines, *SIGNAL processing

Multistage committees of deep feedforward convolutional sparse denoise autoencoder for object recognition.

Autori: Shicao Luo Yongsheng Ding Kuangrong Hao

Zdroj: 2015 Chinese Automation Congress (CAC); 2015, p565-570, 6p

Denoising of Underwater Images with Regulated Autoencoders

Autori: Shreya Priyadarshini Roy Maheswari N Sivagami M a ďalší

Témy: Review Article

Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images

Autori: Li Ma Xiaoquan Yang Chen Xing

Zdroj: Journal of Sensors. 2016:1-10

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis súboru: text/xhtml

Prístupová URL adresa: http://downloads.hindawi.com/journals/js/2016/3632943.pdf
https://paperity.org/p/129551683/stacked-denoise-autoencoder-based-feature-extraction-and-classification-for-hyperspectral
https://downloads.hindawi.com/journals/js/2016/3632943.pdf
https://doaj.org/article/3f9fefcc01f043e6869e6aad8989513f
https://www.hindawi.com/journals/js/2016/3632943/
http://downloads.hindawi.com/journals/js/2016/3632943.pdf
https://core.ac.uk/display/90444476

Enhancing LLM Steering through Sparse Autoencoder-Based Vector Refinement

Autori: Wang, Anyi Wu, Xuansheng Shu, Dong a ďalší

Predmety: Machine Learning, FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2509.23799

Network Intrusion Detection Based on Sparse Autoencoder and IGA‐BP Network

Autori: Hongli Deng Tao Yang

Zdroj: Wireless Communications and Mobile Computing. 2021

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

Popis súboru: text/xhtml

Prístupová URL adresa: https://downloads.hindawi.com/journals/wcmc/2021/9510858.pdf

Denoising Autoencoder for Reconstructing Sensor Observation Data and Predicting Evapotranspiration: Noisy and Missing Values Repair and Uncertainty Quantification.

Autori: Johnsen, Timothy K. Bi, Xiangyu Chou, Chunwei a ďalší

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-23, 23p

Predmety: EVAPOTRANSPIRATION, AUTOENCODERS, STOCHASTIC analysis, MACHINE learning, HYDROLOGICAL forecasting, NOISE control, TELEMETRY

DSCD: A Novel Deep Subspace Clustering Denoise Network for Single-Cell Clustering

Autori: Zhiye Wang Yiwen Lu Chang Yu a ďalší

Zdroj: IEEE Access, Vol 8, Pp 109857-109865 (2020)

Predmety: 0301 basic medicine, sparse self-express, spectral clustering, 03 medical and health sciences, auto-encoder, 0206 medical engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Single cell RNA-seq data, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09115662.pdf
https://doaj.org/article/8f8567f0baf74d03ae95c633a558bb86
https://doaj.org/article/8f8567f0baf74d03ae95c633a558bb86
https://dblp.uni-trier.de/db/journals/access/access8.html#WangLYZLH20
https://ieeexplore.ieee.org/document/9115662

scZAG: Integrating ZINB-Based Autoencoder with Adaptive Data Augmentation Graph Contrastive Learning for scRNA-seq Clustering.

Autori: Zhang, Tianjiao Ren, Jixiang Li, Liangyu a ďalší

Zdroj: International Journal of Molecular Sciences. Jun2024, Vol. 25 Issue 11, p5976. 16p.

Predmety: *DATA augmentation, *DEEP learning, *REPRESENTATIONS of graphs, *RNA sequencing, *GENE expression, *DATA analysis

Blind Denoising Autoencoder.

Autori: Majumdar, Angshul

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Jan2019, Vol. 30 Issue 1, p312-317, 6p

Predmety: SIGNAL denoising, MACHINE learning

Efficient protein structure generation with sparse denoising models.

Autori: Jendrusch, Michael Korbel, Jan O.

Zdroj: Nature Machine Intelligence; Sep2025, Vol. 7 Issue 9, p1429-1445, 17p

Harnessing Generative Deep Learning for Enhanced Ensemble Data Assimilation.

Autori: Foroumandi, Ehsan Moradkhani, Hamid

Zdroj: Water Resources Research; Jul2025, Vol. 61 Issue 7, p1-25, 25p

Predmety: DATA assimilation, HYDROLOGIC models, GENERATIVE artificial intelligence, AUTOENCODERS

Finding an optimal dictionary of different wavelet types using sparse modeling to denoise ECG signal.

Autori: Samann, Fars Schanze, Thomas

Zdroj: Current Directions in Biomedical Engineering; Oct2021, Vol. 7 Issue 2, p125-128, 4p

Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images.

Autori: Xing, Chen Ma, Li Yang, Xiaoquan

Zdroj: Journal of Sensors; 11/30/2015, p1-10, 10p

Predmety: ENCODING, FEATURE extraction, HYPERSPECTRAL imaging systems, DEEP learning, LOGISTIC regression analysis, SUPPORT vector machines

Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM.

Autori: Zeng, Peipei Kang, Shuimiao Fan, Fan a ďalší

Zdroj: Frontiers in Neuroinformatics; 2025, p1-15, 15p

Predmety: ANOMALY detection (Computer security), HEART murmurs, SUPPORT vector machines, CONGENITAL heart disease, AUTOENCODERS

Autoenkodery. Podstawy budowy wydajnych modeli uczenia maszynowegoAutoencoders. Fundamentals of building efficient machine learning models

Autori: Rodewald, Gabriel

Predmety: uczenie maszynowe, uczenie głębokie, autoenkodery, autoenkodery wariacyjne, autoenkodery odszumiające, autoenkodery rzadkie, autoenkodery konwolucyjne, autoenkodery rekurencyjne, machine learning, deep learning, autoencoders, variational autoencoders, denoise, sparse autoencoders, convolution autoencoders, recursive autoencoders

Prístupová URL adresa: http://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-cf3369c2-307e-4542-9c5b-f867085b3a20

Abstract 5306: SAUCIE: Sparse autoencoder for unsupervised clustering, imputation, and embedding

Autori: James P. Noonan Rebecca A. Muhle Ruth R. Montgomery a ďalší

Zdroj: Cancer Research. 78:5306-5306

Predmety: 3. Good health

Prístupová URL adresa: http://cancerres.aacrjournals.org/content/78/13_Supplement/5306.short
https://cancerres.aacrjournals.org/content/78/13_Supplement/5306

Towards Real-Time ECG Signal Denoising using Sparse and Shallow Running Denoising Autoencoder

Autori: Samann, Fars Esmat Fathel Schanze, Thomas Fiebich, Martin

Prispievatelia: Samann, Fars Esmat Fathel Schanze, Thomas Fiebich, Martin

Predmety: Denoising autoencoder, Running denoising autoencoder, Non-aligned ECG segments, QRS-aligned ECG segments, Sliding-window ECG segments

Popis súboru: XIX, 104 S.; application/pdf

Relation: https://doi.org/10.1016/j.compbiomed.2023.107553; https://publikationsserver.thm.de/xmlui/handle/123456789/440

Dostupnosť: https://publikationsserver.thm.de/xmlui/handle/123456789/440
https://doi.org/10.25716/thm-387