A novel multi-branch wavelet neural network for sparse representation based object classification-Reference-Cited by-同舟云学术

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A novel multi-branch wavelet neural network for sparse representation based object classification

Published:2023-03 Issue: Volume:135 Page:109155
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Nguyen Tan-Sy^ORCID,Luong Marie,Kaaniche Mounir,Ngo Long H.^ORCID,Beghdadi Azeddine

Funder

Horizon 2020

Horizon 2020 Marie Skłodowska-Curie Actions

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference45 articles.

1. Shared multi-view data representation for multi-domain event detection;Yang;IEEE Trans Pattern Anal Mach Intell,2020

2. Visual tracking by dynamic matching-classification network switching;Li;Pattern Recognit,2020

3. Residual networks based distortion classification and ranking for laparoscopic image quality assessment;Khan,2020

4. Sparse and Redundant Representations: From Theory to Applications in signal and image processing;Elad,2010

5. Connectivity-based convolutional neural network for classifying point clouds;Lee;Pattern Recognit,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Object recognition under bad weather conditions with wavelet-modified logarithmic fringe-adjusted joint transform correlator;Journal of Optics;2024-08-28

2. Hypergraph-Based Multitask Feature Selection with Temporally Constrained Group Sparsity Learning on fMRI;Mathematics;2024-06-02

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