Clustering stability-based feature selection for unsupervised texture classification

被引:0
|
作者
Klepaczko, Artur [1 ]
Materka, Andrzej [1 ]
机构
[1] Technical University of Lodz, Institute of Electronics, Medical Electronics Division, ul. Wolczanska 211/215, 90-924 Lodz, Poland
来源
Machine Graphics and Vision | 2009年 / 18卷 / 02期
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Image classification
引用
收藏
页码:125 / 141
相关论文
共 48 条
  • [21] A PHYSICALLY MODELED FEATURE-BASED ULTRASONIC SYSTEM FOR IGSCC CLASSIFICATION
    ROSE, JL
    AVIOLI, MJ
    LAPIDES, M
    MATERIALS EVALUATION, 1982, 40 (13) : 1367 - 1373
  • [22] Stability Prediction of CAD NC Cavity Milling Based on Clustering Algorithm
    Li, Xianyi
    Sharma, Ashutosh
    Computer-Aided Design and Applications, 2024, 21 (S6): : 41 - 52
  • [23] Combinatorial Method of Feature Selection in Pattern Recognition Based on Risk Increase.
    Wilimowska, Zofia
    Archiwum Automatyki i Telemechaniki, 1980, 25 (03): : 405 - 417
  • [24] A Path-Based Feature Selection Algorithm for Enterprise Credit Risk Evaluation
    Du, Marui
    Ma, Yue
    Zhang, Zuoquan
    Computational Intelligence and Neuroscience, 2022, 2022
  • [25] Classification of present faults in rotating machinery based on time and frequency domain feature extraction
    Ignjatovska, Anastasija
    Shishkovski, Dejan
    Pecioski, Damjan
    Vibroengineering Procedia, 2023, 51 : 22 - 28
  • [26] Voltage security assessment employing coherency-based feature selection for a neural network
    Pandit, Manjaree
    Srivastava, Laxmi
    Sharma, Jaydev
    Eng. Intell. Syst., 4 (217-228):
  • [27] Development of an Entropy-Based Feature Selection Method and Analysis of Online Reviews on Real Estate
    Horino, Hiroki
    Nonaka, Hirofumi
    Alemán Carreón, Elisa Claire
    Hiraoka, Toru
    arXiv, 2019,
  • [28] Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis
    Perin, Guilherme
    Wu, Lichao
    Picek, Stjepan
    IACR Transactions on Cryptographic Hardware and Embedded Systems, 2022, 2022 (04): : 828 - 861
  • [29] Deep feature extraction based on dynamic graph convolutional networks for accelerated hyperspectral image classification
    Liu, Q.
    Dong, Y.
    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022, 5 (03) : 139 - 146
  • [30] Research on Image Classification and Key Technologies Based on 3D Feature Extraction Algorithm
    Lei, Lei
    Jia, Ziqi
    Wu, Zechen
    JOURNAL OF SENSORS, 2022, 2022