Method for image region classification using unsupervised and supervised learning

• 1. 一种基于自监督学习的小样本图像分类方法及系统 [P] . 中国专利： CN113963165A . 2022-01-21
• 2. 基于对抗生成网络和弱监督学习的数字切片图像分类方法 [P] . 中国专利： CN113221948A . 2021-08-06
• 3. Method for image region classification using unsupervised and supervised learning [P] . 美国专利： US2003147558A1 . 2003-08-07

  机译： 基于无监督和监督学习的图像区域分类方法

• 4. Machine learning method and system for restoring contaminated regions of image through unsupervised learning based on generative adversarial network [P] . KR102288645B1 . 2021-08-10

  机译： 通过基于生成对抗网络通过无监督学习恢复图像污染区域的机器学习方法和系统

• 5. SYSTEM AND METHOD FOR DETECTION AND CLASSIFICATION OF OBJECTS OF INTEREST IN MICROSCOPE IMAGES BY SUPERVISED MACHINE LEARNING [P] . EP3811287A2 . 2021-04-28

  机译： 通过监督机器学习检测和分类显微镜图像对象的系统和方法

• 1. A Novel Automatic Classification System Based on Hybrid Unsupervised and Supervised Machine Learning for Electrospun Nanofibers [J] . Cosimo Ieracitano, Annunziata Paviglianiti, Maurizio Campolo, 自动化学报（英文版） . 2021,第001期
• 2. A Novel Automatic Classification System Based on Hybrid Unsupervised and Supervised Machine Learning for Electrospun Nanofibers [J] . Cosimo Ieracitano, Annunziata Paviglianiti, Maurizio Campolo, 自动化学报：英文版 . 2021,第001期
• 3. Spatial-Aware Supervised Learning for Hyper-Spectral Image Classification Comprehensive Assessment [J] . SOOMRO Bushra Naz, XIAO Liang, SOOMRO Shahzad Hyder, 东华大学学报（英文版） . 2016,第006期
• 4. A Comparison on Supervised Machine Learning Classification Techniques for Semantic Segmentation of Aerial Images of Rain Forest Regions [C] . Luiz Carlos A. M. Cavalcanti, Jose Reginaldo Hughes Carvalho, Eulanda Miranda dos Santos International Conference on Computer Vision Theory and Applications . 2015
• 5. Classifying Land Use/Land Cover Change Over Time within the Watershed Boundary of Keenjhar Lake Using Supervised, Unsupervised, and Hybrid Classification Methods [D] . Henry, Katherine Rae. 2021
• 6. Comparison of Supervised and Unsupervised Deep Learning Methods for Medical Image Synthesis between Computed Tomography and Magnetic Resonance Images [O] . Yafen Li, Wen Li, Jing Xiong, 2020
• 7. Classification of pavement climatic regions through unsupervised and supervised machine learnings [O] . Qiao Dong, Xueqin Chen, Shi Dong, 2021

• 1. Improvement the Accuracy of Six Applied Classification Algorithms through Integrated Supervised and Unsupervised Learning Approach [J] . Sharareh R. Niakan Kalhori ,Xiao-Jun Zeng . 电脑和通信（英文） . 2014,第4期
• 2. Image Classification using Statistical Learning Methods [J] . Jassem Mtimet ,Hamid Amiri . 软件工程与应用（英文） . 2012,第12期
• 3. 基于半监督学习的应用流分类方法 [C] . 柳斌 ,李之棠 ,涂浩 . 2010全国开放式分布与并行计算学术年会 . 2010
• 4. 基于半监督学习和深度学习的高光谱图像分类方法研究 [A] . 卓彬彬 . 2019