A survey of 2D shape representation: Methods, evaluations, and future research directions

L Kurnianggoro, KH Jo - Neurocomputing, 2018 - Elsevier
In the past few years, the research studies in image-based shape representation have been
proliferating due to its usefulness and importance for various application. This field has been …

HRRP target recognition based on kernel joint discriminant analysis

L Wenbo, Y Jiawen, Z Gong… - Journal of Systems …, 2019 - ieeexplore.ieee.org
With the improvement of radar resolution, the dimension of the high resolution range profile
(HRRP) has increased. In order to solve the small sample problem caused by the increase …

Semi-supervised Kernel Fisher discriminant analysis based on exponential-adjusted geometric distance

Z Chen, Y Sun, D Hu, Y Bian, S Wang, X Zhang… - Neural Computing and …, 2024 - Springer
Fisher discriminant analysis (FDA) is a widely used dimensionality reduction tool in pattern
recognition. However, FDA cannot obtain an optimal subspace for classification without …

Intelligent Recognition Algorithm‐Based Color Doppler Ultrasound in the Treatment of Dangerous Placenta Previa

X Zheng, X Li, J Xu, Y Wei - Journal of Healthcare Engineering, 2021 - Wiley Online Library
The study focused on the clinical diagnostic value of color Doppler ultrasound of dangerous
placenta previa patients under the guidance of intelligent recognition algorithms. 58 patients …

[HTML][HTML] 一种基于改进核Fisher 的故障诊断方法

马立玲, 徐发富, 王军政 - 化工学报, 2017 - m.fx361.com
针对化工过程故障数据呈非线性分布, 数据类别复杂, 难以进行故障诊断的问题,
提出一种改进核Fisher 的故障诊断方法. 对于原始样本数据投影后, 样本出现因类间距离存在很 …

Human identity recognition using sparse auto encoder for texture information representation in palmprint images based on voting technique

EA Elgallad, N Charfi, AM Alimi… - 2017 Sudan Conference …, 2017 - ieeexplore.ieee.org
Nowadays, biometric systems are used for the security and personal recognition. The
palmprint trait is one among the most confident physiological modalities that can be used to …

[引用][C] 基于低密度分割几何距离的半监督KFDA 算法

陶新民, 常瑞, 沈微, 王若彤, 李晨曦 - 软件学报, 2020

[引用][C] Semi-supervised KFDA algorithm based on low density separation geometry distance

陶新民, 常瑞, 沈微, 王若彤, 李晨曦 - Journal of Software, 2020