Výsledky vyhledávání - stacked denosing sparse autoencoder

Radar HRRP target recognition based on stacked denosing sparse autoencoder

Autoři: Wei Hong Yang Li Yanhua Wang a další

Zdroj: The Journal of Engineering (2019)

Témata: layer-by-layer pre-training, signal denoising, feature extraction, two-step training process, radar hrrp target recognition, 02 engineering and technology, Engineering (General). Civil engineering (General), pre-training results, neural nets, stacked denosing sparse autoencoder, radar target recognition, end-to-end radar high-resolution range profile recognition method, sparse autoencoders, 0202 electrical engineering, electronic engineering, information engineering, learning (artificial intelligence), TA1-2040

Přístupová URL adresa: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/joe.2019.0741
https://doaj.org/article/86278ba9bb5d4cb3bc3938d6ff53d2ed
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0741?crawler=true&mimetype=application/pdf

Radar HRRP target recognition based on stacked denosing sparse autoencoder.

Autoři: Tai, Guangxing Wang, Yanhua Li, Yang a další

Zdroj: Journal of Engineering; Nov2019, Vol. 2019 Issue 22, p7945-7949, 5p

Témata: RADAR target recognition, SIGNAL denoising, RADAR resolution, RADAR signal processing, SIGNAL resolution

基于SDAE及极限学习机模型的协同过滤应用研究.

Alternate Title: Study on collaborative filtering recommendation algorithm based on extreme learning machine stacked denoising autoencodes.

Autoři: 潘昊 王新伟

Zdroj: Application Research of Computers / Jisuanji Yingyong Yanjiu. Aug2017, Vol. 34 Issue 8, p2332-2375. 5p.

Surface microseismic data denoising based on sparse autoencoder and Kalman filter.

Autoři: Li, Xuegui Feng, Shuo Hou, Nan a další

Zdroj: Systems Science & Control Engineering; Dec2022, Vol. 10 Issue 1, p616-628, 13p

Témata: SIGNAL-to-noise ratio, MACHINE learning, DATABASES, NOISE control, MULTILAYER perceptrons, KALMAN filtering, BACK propagation

AENEA: A novel autoencoder-based network embedding algorithm.

Autoři: Xu, Xiaolong Xu, Haoyan Wang, Yang a další

Zdroj: Peer-to-Peer Networking & Applications; May2021, Vol. 14 Issue 3, p1829-1840, 12p

Témata: REAL numbers, PROBLEM solving, VECTOR spaces, ALGORITHMS, RANDOM matrices

Deep stacked denoising autoencoder for unsupervised anomaly detection in video surveillance.

Autoři: Roka, Sanjay Diwakar, Manoj

Zdroj: Journal of Electronic Imaging; May/Jun2023, Vol. 32 Issue 3, p33015-033015-23, 1p

Témata: VIDEO surveillance, ANOMALY detection (Computer security), IMAGE denoising, OPTICAL flow, CONVOLUTIONAL neural networks, DEEP learning

Target Detection With Unconstrained Linear Mixture Model and Hierarchical Denoising Autoencoder in Hyperspectral Imagery.

Autoři: Li, Yunsong Shi, Yanzi Wang, Keyan a další

Zdroj: IEEE Transactions on Image Processing; 2022, Vol. 31, p1418-1432, 15p

Deep Learning Based Lithology Classification Using Dual-Frequency Pol-SAR Data.

Autoři: Wang, Wenguang Ren, Xin Zhang, Yan a další

Zdroj: Applied Sciences (2076-3417); Sep2018, Vol. 8 Issue 9, p1513, 19p

Témata: SYNTHETIC aperture radar, DEEP learning, PETROLOGY

DropDAE: Denosing Autoencoder with Contrastive Learning for Addressing Dropout Events in scRNA-seq Data.

Autoři: Juan, Wanlin Ahn, Kwang Woo Chen, Yi-Guang a další

Zdroj: Bioengineering (Basel); Aug2025, Vol. 12 Issue 8, p829, 17p

Témata: AUTOENCODERS, GENE expression, MULTIPLE imputation (Statistics), CYTOLOGICAL techniques, MACHINE learning, ARTIFICIAL neural networks, CLUSTER analysis (Statistics), MOLECULAR biology

A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse representation techniques.

Autoři: Kumar, Santosh Kumar, Sunil Shafi, Mehak a další

Zdroj: Multimedia Tools & Applications; Sep2022, Vol. 81 Issue 21, p31075-31106, 32p

Témata: ENDANGERED species, FEATURE extraction, FACE, EXTRACTION techniques

Classification of data on stacked autoencoder using modified sigmoid activation function.

Autoři: Kumar, Arvind Sodhi, Sartaj Singh

Zdroj: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 44 Issue 1, p1-18, 18p

Témata: CLASSIFICATION, ABALONES, THYROID gland, WINES

Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine.

Autoři: Zhang, Nana Ying, Shi Zhu, Kun a další

Zdroj: IET Software (Wiley-Blackwell); Feb2022, Vol. 16 Issue 1, p29-47, 19p

Témata: COMPUTER software quality control, COMPUTER software industry, FEATURE extraction, ELECTRONIC data processing, PARTICLE swarm optimization

基于三维降噪自编码器的高光谱变化检测算法. (Chinese)

Alternate Title: Hyperspectral change detection algorithm based on three-dimentional denosing autoencoder. (English)

Autoři: 冯 收 陈勇奇 樊元泽 a další

Zdroj: Experimental Technology & Management; Feb2023, Vol. 40 Issue 2, p7-13, 7p

Témata: RANDOM noise theory, ALGORITHMS, GENERALIZATION, SPECTRAL imaging, FEATURE extraction

Semisupervised learning using denoising autoencoders for brain lesion detection and segmentation.

Autoři: Alex, Varghese Vaidhya, Kiran Thirunavukkarasu, Subramaniam a další

Zdroj: Journal of Medical Imaging; Oct2017, Vol. 4 Issue 4, p041311-1-041311-16, 16p, 7 Black and White Photographs, 2 Diagrams, 10 Charts, 1 Graph

A Novel Convolutional Autoencoder-Based Clutter Removal Method for Buried Threat Detection in Ground-Penetrating Radar.

Autoři: Temlioglu, Eyyup Erer, Isin

Zdroj: IEEE Transactions on Geoscience & Remote Sensing; Jan2022, Vol. 60 Issue 1, p1-13, 13p

Témata: GROUND penetrating radar, MATRIX decomposition, NONNEGATIVE matrices, SPARSE matrices, IMAGE reconstruction, NOISE control

基于SAE和WGAN 的入侵检测方法研究. (Chinese)

Alternate Title: Research on intrusion detection method based on SAE and WGAN. (English)

Autoři: 刘拥民 许 成 黄 浩 a další

Zdroj: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue; Feb2025, Vol. 47 Issue 2, p256-264, 9p

一种基于降噪自编码的组合分类算法. (Chinese)

Alternate Title: Ensemble Learning Based on Denosing Autoencoder. (English)

Autoři: 郭华平 刁小宇 刘宏兵

Zdroj: Journal of Xinyang Normal University Natural Science Edition; oct2020, Vol. 33 Issue 4, p657-662, 6p

Survey on machine learning applied to CNC milling processes.

Autoři: Pasandidehpoor, Mohammad Nogueira, Ana Rita Mendes-Moreira, João a další

Zdroj: Advances in Manufacturing; Dec2025, Vol. 13 Issue 4, p847-885, 39p

Classification of PolSAR Image Using Neural Nonlocal Stacked Sparse Autoencoders with Virtual Adversarial Regularization.

Autoři: Wang, Ruichuan Wang, Yanfei

Zdroj: Remote Sensing; May2019, Vol. 11 Issue 9, p1038, 1p

Témata: SYNTHETIC aperture radar, ALGORITHMS, IMAGE processing, POLARIMETRIC remote sensing, NEURAL circuitry

A survey on deep learning fundamentals.

Autoři: Tian, Chunwei Cheng, Tongtong Peng, Zhe a další

Zdroj: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-108, 108p