Chengmao Wu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2026
New semi-supervised fuzzy C-means clustering with asymmetric deviation constraints and fast algorithm.
Expert Syst. Appl., 2026

2025
Wasserstein distance-based fuzzy C-means clustering in Riemannian manifold feature space for image segmentation.
Signal Image Video Process., January, 2025

Robust self-weighting multi-view fuzzy clustering for image segmentation.
J. Intell. Fuzzy Syst., 2025

Generalized multiplicative interval type-2 fuzzy partition C-means clustering.
Inf. Sci., 2025

Fuzzy C-Poincaré Fréchet means clustering in hyperbolic space.
Expert Syst. Appl., 2025

2024
Robust Harmonic Fuzzy Partition Local Information C-Means Clustering for Image Segmentation.
Symmetry, 2024

One-Step Joint Learning of Self-Supervised Spectral Clustering With Anchor Graph and Fuzzy Clustering for Land Cover Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Generalized multiplicative fuzzy possibilistic product partition C-means clustering.
Inf. Sci., 2024

2023
Generalized possibilistic c-means clustering with double weighting exponents.
Inf. Sci., October, 2023

Adaptive enhanced interval type-2 possibilistic fuzzy local information clustering with dual-distance for land cover classification.
Eng. Appl. Artif. Intell., March, 2023

Robust deep kernel-based fuzzy clustering with spatial information for image segmentation.
Appl. Intell., 2023

2022
A Novel Kernelized Total Bregman Divergence-Driven Possibilistic Fuzzy Clustering With Multiple Information Constraints for Image Segmentation.
IEEE Trans. Fuzzy Syst., 2022

Robust fuzzy clustering algorithms integrating membership guided image filtering.
Signal Image Video Process., 2022

Total Bregman divergence-driven possibilistic fuzzy clustering with kernel metric and local information for grayscale image segmentation.
Pattern Recognit., 2022

Guided filter-driven kernel fuzzy clustering with local information for noise image segmentation.
Multim. Tools Appl., 2022

Robust semi-supervised spatial picture fuzzy clustering with local membership and KL-divergence for image segmentation.
Int. J. Mach. Learn. Cybern., 2022

A novel interval-valued data driven type-2 possibilistic local information c-means clustering for land cover classification.
Int. J. Approx. Reason., 2022

Fast robust fuzzy clustering based on bipartite graph for hyper-spectral image classification.
IET Image Process., 2022

Kernel-based fuzzy local information clustering algorithm self-integrating non-local information.
Digit. Signal Process., 2022

Robust Spectral Clustering Incorporating Statistical Sub-Graph Affinity Model.
Axioms, 2022

A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation.
Appl. Intell., 2022

Transmission Efficiency Analysis and Data Calculation of vue.js Component in Front and Back Interaction Process.
Proceedings of the International Conference on Computers, 2022

2021
A Novel Single Fuzzifier Interval Type-2 Fuzzy C-Means Clustering With Local Information for Land-Cover Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Suppressed robust picture fuzzy clustering for image segmentation.
Soft Comput., 2021

Entropy-based circular histogram thresholding for color image segmentation.
Signal Image Video Process., 2021

A novel kernelized total Bregman divergence-based fuzzy clustering with local information for image segmentation.
Int. J. Approx. Reason., 2021

Entropy-like Divergence Based Kernel Fuzzy Clustering for Robust Image Segmentation.
Expert Syst. Appl., 2021

Robust entropy-based symmetric regularized picture fuzzy clustering for image segmentation.
Digit. Signal Process., 2021

Noise distance driven fuzzy clustering based on adaptive weighted local information and entropy-like divergence kernel for robust image segmentation.
Digit. Signal Process., 2021

2020
Robust credibilistic intuitionistic fuzzy clustering for image segmentation.
Soft Comput., 2020

Robust Suppressed Competitive Picture Fuzzy Clustering Driven by Entropy.
Int. J. Fuzzy Syst., 2020

Robust credibilistic fuzzy local information clustering with spatial information constraints.
Digit. Signal Process., 2020

Total Bregman divergence-based fuzzy local information C-means clustering for robust image segmentation.
Appl. Soft Comput., 2020

Adaptive entropy weighted picture fuzzy clustering algorithm with spatial information for image segmentation.
Appl. Soft Comput., 2020

Lorenz Curve-Based Entropy Thresholding on Circular Histogram.
IEEE Access, 2020

2018
基于引导滤波改进的暗原色去雾算法 (Improved Algorithm of Haze Removal Based on Guided Filtering and Dark Channel Prior).
计算机科学, 2018

2016
一种快速的模糊局部C-均值聚类分割算法 (Fast Fuzzy Local Information C-means Clustering Segmentation Algorithm).
计算机科学, 2016

2015
基于混沌与自编码相融合的扩频码构造方法 (Method of Constructing Spread-spectrum Code Based on Chaos and Self-coded).
计算机科学, 2015

基于全散度的变分CV模型及其分割算法 (Variational CV Model Based on Total Bregman Divergence and its Segmentation Algorithm).
计算机科学, 2015

一种改进的局部模糊C-均值聚类分割算法研究 (Research on Improved Local Fuzzy C-means Clustering Segmentation Algorithm).
计算机科学, 2015


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