Výsledky vyhledávání - convolutional sparse autoencoder*

Non-Line-of-Sight Multipath Classification Method for BDS Using Convolutional Sparse Autoencoder with LSTM

Autoři: Qin, Yahang Li, Zhenni Xie, Shengli a další

Zdroj: Tsinghua Science and Technology. 30:68-86

Témata: Satellites, Multipath classification, BeiDou Navigation Satellite System (BDS), Solid modeling, Three-dimensional displays, Long short-term memory (LSTM), Convolutional sparse autoencoder, Interference, Urban areas, Convolution, Long short term memory

XAI-DSCSA: explainable-AI-based deep semi-supervised convolutional sparse autoencoder for facial expression recognition

Autoři: M. Mohana P. Subashini George Ghinea

Zdroj: Signal, Image and Video Processing. 19

Témata: autoencoder, semi-supervised learning, convolutional sparse autoencoder, facial expression recognition, feature representation, unsupervised learning

Přístupová URL adresa: https://bura.brunel.ac.uk/handle/2438/31141

Self‐Attention‐Based Deep Convolutional Sparse Dense Autoencoder Model With Chebyshev‐Based Osprey Algorithm for Cardiovascular Disease Detection

Autoři: N. J. Divya N. Suresh Kumar R. Kanniga Devi

Zdroj: Transactions on Emerging Telecommunications Technologies. 36

IoT and cloud computing-based automated epileptic seizure detection using optimized Siamese convolutional sparse autoencoder network

Autoři: M. Ramkumar S. Syed Jamaesha M. S. Gowtham a další

Zdroj: Signal, Image and Video Processing. 18:3509-3525

Aggregating Dual Attention Residual Network and Convolutional Sparse Autoencoder to Enhance the Diagnosis of Alzheimer’s Disease

Autoři: Shuiqing Jing Ruohan Li Shiguan Mu a další

Zdroj: 2023 International Conference on Human-Centered Cognitive Systems (HCCS). :1-6

Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest

Autoři: Na Yang Zhenkai Zhang Jianhua Yang a další

Zdroj: Natural Resources Research. 32:1-18

Témata: 0101 mathematics, 01 natural sciences, 0105 earth and related environmental sciences

Noise Cleaning of ECG on Edge Device Using Convolutional Sparse Contractive Autoencoder

Autoři: Rohan Banerjee Ayan Mukherjee Avik Ghose

Zdroj: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). :491-496

Témata: 0206 medical engineering, 02 engineering and technology

Convolutional Sparse Autoencoder for Emotion Recognition

Autoři: M. Mohana P. Subashini

Zdroj: Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783031277610

Aggregating Dual Attention Residual Network and Convolutional Sparse Autoencoder to Enhance Alzheimer's Disease Diagnosis

Autoři: Shuiqing Jing Lanlan Li Jianlong Li a další

Artists Identification Using Convolutional Sparse Autoencoder

Autoři: Vinnia Kemala Putri Felix Indra Kurniadi

Zdroj: 2019 5th International Conference on Computing Engineering and Design (ICCED). :1-4

Témata: 4. Education, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9161109
http://xplorestaging.ieee.org/ielx7/9153549/9161075/09161109.pdf?arnumber=9161109

Domain Adaptation with Stacked Convolutional Sparse Autoencoder

Autoři: Yi Zhu Xinke Zhou Yun Li a další

Zdroj: Communications in Computer and Information Science ISBN: 9783030923068

XAI-DSCSA: explainable-AI-based deep semi-supervised convolutional sparse autoencoder for facial expression recognition.

Autoři: Mohana, M. Subashini, P. Ghinea, George

Zdroj: Signal, Image & Video Processing; May2025, Vol. 19 Issue 5, p1-18, 18p

Convolutional Sparse Autoencoders for Image Classification

Autoři: Wei Luo Jun Li Jian Yang a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. :1-6

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

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/28682266
https://dblp.uni-trier.de/db/journals/tnn/tnn29.html#LuoLYXZ18
https://www.ncbi.nlm.nih.gov/pubmed/28682266
https://ieeexplore.ieee.org/document/7962256/
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201802260220731227
http://dblp.uni-trier.de/db/journals/tnn/tnn29.html#LuoLYXZ18
https://ieeexplore.ieee.org/abstract/document/7962256

Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder

Autoři: Changmiao Wang Ahmed Elazab Fucang Jia a další

Zdroj: BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-19 (2018)

Témata: Chest screening, Computer aided diagnosis, Deep learning, Autoencoder, Receiver operating characteristic, Medical technology, R855-855.5

Popis souboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s12938-018-0496-2; https://doaj.org/toc/1475-925X

Přístupová URL adresa: https://doaj.org/article/0651ceb9a36e483794499d2f0818af09

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

Autoři: Kuangrong Hao Shicao Luo Yongsheng Ding

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

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

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

Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes

Autoři: Kashyap, Hirak J Fowlkes, Charless C Krichmar, Jeffrey L

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 32(6)

Témata: Information and Computing Sciences, Computer Vision and Multimedia Computation, Estimation, Dynamics, Optical imaging, Cameras, Training, Adaptive optics, Motion segmentation, Convolutional autoencoder, ego motion, object motion, overcomplete basis, sparse representation, cs.CV, cs.LG, Artificial Intelligence & Image Processing, Artificial intelligence

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/7p53p8zv
https://escholarship.org/content/qt7p53p8zv/qt7p53p8zv.pdf

Unsupervised Domain Adaptation via Stacked Convolutional Autoencoder

Autoři: Yi Zhu Xinke Zhou Xindong Wu

Zdroj: Applied Sciences, Vol 13, Iss 1, p 481 (2022)

Témata: domain adaptation, convolutional autoencoder, sparse autoencoder, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/1/481; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/491024e2261147178e7df1a59356e59a

Convolutional Sparse Autoencoders for Image Classification.

Autoři: Luo, W Li, J Yang, J a další

Témata: Journal Article

URL: http://hdl.handle.net/10453/160772
IEEE Trans Neural Netw Learn Syst
10.1109/TNNLS.2017.2712793

Representation learning with convolutional sparse autoencoders for remote sensing

Autoři: Orhan Firat Fatos T. Yarman Vural

Zdroj: 2013 21st Signal Processing and Communications Applications Conference (SIU). :1-4

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

Přístupová URL adresa: https://ieeexplore.ieee.org/document/6531525/
https://dblp.uni-trier.de/db/conf/siu/siu2013.html#FiratY13

A deep hybrid CSAE-GRU framework with two-stage balancing for automatic epileptic seizure detection using EEG-derived features

Autoři: Fei Xiang Mingyue Liu Wenna Chen a další

Zdroj: Frontiers in Neuroscience, Vol 19 (2025)

Témata: seizure detection, convolutional neural network, gated recurrent unit, sparse autoencoder, borderline synthetic minority oversampling technique, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnins.2025.1698960/full; https://doaj.org/toc/1662-453X

Přístupová URL adresa: https://doaj.org/article/2a3723ccee1d49029288ff3b2996bd8f