Texture classification using kernel logistic regression

被引：0
|
作者：
Tambo, Asongu L. [1 ]
Mistry, Rajan B. [1 ]
Campbell, Jonathan M. [1 ]
Chan, Sherwin R. [1 ]
Hang, Xiyi [1 ]
机构：
[1] Calif State Univ Northridge, Dept Elect & Comp Engn, Northridge, CA 93063 USA
来源：
INT CONF ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS AND APPLICATIONS/INT CONF ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL 1 | 2007年
关键词：
texture; classification; machine learning; kernel logistic regression; support vector machine;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates the application of Kernel Logistic Regression (KLR) in texture classification. Stationary wavelet transform is used for feature extraction. The numerical experiment shows that when it comes to texture classification, KLR is comparable to popular support vector machine (SVM).
引用
收藏
页码：259 / 262
页数：4
相关论文
共 50 条
  • [31] Doubly Sparse Bayesian Kernel Logistic Regression
    Kojima, Atsushi
    Tanaka, Toshihisa
    2018 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2018, : 977 - 982
  • [32] A fast dual algorithm for kernel logistic regression
    Keerthi, SS
    Duan, KB
    Shevade, SK
    Poo, AN
    MACHINE LEARNING, 2005, 61 (1-3) : 151 - 165
  • [33] Degradation assessment and fault modes classification using logistic regression
    Yan, JH
    Lee, J
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2005, 127 (04): : 912 - 914
  • [34] Classification using partial least squares with penalized logistic regression
    Fort, G
    Lambert-Lacroix, S
    BIOINFORMATICS, 2005, 21 (07) : 1104 - 1111
  • [35] Kernel Ridge Regression Classification
    He, Jinrong
    Ding, Lixin
    Jiang, Lei
    Ma, Ling
    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 2263 - 2267
  • [36] Classification of mislabelled microarrays using robust sparse logistic regression
    Bootkrajang, Jakramate
    Kaban, Ata
    BIOINFORMATICS, 2013, 29 (07) : 870 - 877
  • [37] Classification Using Nonparametric Logistic Regression for Predicting Working Status
    Wibowo, Wahyu
    Amelia, Rahmi
    Octavia, Fanny Ayu
    Wilantari, Regina Niken
    INTERNATIONAL CONFERENCE ON MATHEMATICS, COMPUTATIONAL SCIENCES AND STATISTICS 2020, 2021, 2329
  • [38] Classification of scenery using multinomial logistic regression in a sugarcane crop
    Bonacini, Leonardo
    Natividade Peres, Handel Emanuel
    Higuti, Vitor Akihiro
    Medeiros, Vivian Suzano
    Becker, Marcelo
    Tronco, Mario Luiz
    2022 LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS), 2022 BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR), AND 2022 WORKSHOP ON ROBOTICS IN EDUCATION (WRE), 2022, : 336 - 341
  • [39] Classification of Fake GPS in GOJEK Application using Logistic Regression
    Mar'i, Farhanna
    Pangestu, Gusti
    PROCEEDINGS OF 2021 INTERNATIONAL CONFERENCE ON SUSTAINABLE INFORMATION ENGINEERING AND TECHNOLOGY, SIET 2021, 2021, : 94 - 99
  • [40] Classification of spectral data using fused lasso logistic regression
    Yu, Donghyeon
    Lee, Seul Ji
    Lee, Won Jun
    Kim, Sang Cheol
    Lim, Johan
    Kwon, Sung Won
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2015, 142 : 70 - 77
12345