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Robust and discriminative image representation: fractional-order Jacobi-Fourier moments

  • Published:2021-07 Issue: Volume:115 Page:107898
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Yang Hongying,Qi Shuren,Tian Jialin,Niu Panpan,Wang Xiangyang

Publisher

Elsevier BV

Subject

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

Reference64 articles.

1. SIFT meets CNN: a decade survey of instance retrieval;Zheng;IEEE Trans. Pattern Anal. Mach. Intell.,2017

2. Multiset feature learning for highly imbalanced data classification;Jing;IEEE Trans. Pattern Anal. Mach. Intell.,2021

3. Binary neural networks: a survey;Qin;Pattern Recognit.,2020

4. Effects of image degradation and degradation removal to CNN-based image classification;Pei;IEEE Trans. Pattern Anal. Mach. Intell.,2019

5. HPatches: a benchmark and evaluation of handcrafted and learned local descriptors;Balntas;IEEE Trans. Pattern Anal. Mach. Intell.,2020

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1. Image analysis by fractional-order weighted spherical Bessel-Fourier moments;Pattern Recognition;2025-01

2. Representing Noisy Image Without Denoising;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

3. 3D Gaussian Geometric Moment Invariants;Applied Artificial Intelligence;2024-02-26

4. Robust Reversible Watermarking by Fractional Order Zernike Moments and Pseudo-Zernike Moments;IEEE Transactions on Circuits and Systems for Video Technology;2023-12

5. Fast fractional-order polar linear canonical transform: Theory and application;Engineering Applications of Artificial Intelligence;2023-11
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