New Mixed Kernel Functions of SVM Used in Pattern Recognition

New Mixed Kernel Functions of SVM Used in Pattern Recognition

The pattern analysis technology based on kernel methods is a new technology, which combines good performance and strict theory. With support vector machine, pattern analysis is easy and fast. But the existing kernel function fits the requirement. In the paper, we explore the new mixed kernel functio...

Full description

Bibliographic Details
Main Author:	Huanrui Hao
Format:	Article
Language:	English
Published:	Sciendo 2016-10-01
Series:	Cybernetics and Information Technologies
Subjects:	support vector machine kernel functions pattern recognition wavelet function
Online Access:	https://doi.org/10.1515/cait-2016-0047

Similar Items

AtanK-A New SVM Kernel for Classification
by: Tian Meng, et al.
Published: (2023-01-01)

Spectral-Similarity-Based Kernel of SVM for Hyperspectral Image Classification
by: Ke Wang, et al.
Published: (2020-07-01)

Modified Kernel Functions by Geodesic Distance
by: Yong Quan, et al.
Published: (2004-01-01)

Extensions of the SVM Method to the Non-Linearly Separable Data
by: Luminita STATE, et al.
Published: (2013-01-01)

Financial Distress Prediction Based on Support Vector Machine with a Modified Kernel Function
by: Wu Chong, et al.
Published: (2016-07-01)

Effect of SVM Kernel Functions on Bearing Capacity Assessment of Deep Foundations
by: Danial Jahed Armaghani, et al.
Published: (2023-07-01)

Kernel methods for remote sensing data analysis /
by: Camps-Valls, Gustavo, 1972-, et al.
Published: (2009)

Kernel methods for pattern analysis /
by: 410651 Shawe-Taylor, John, et al.
Published: (2004)

Static Persian Sign Language Recognition Using Kernel-Based Feature Extraction
by: Milad Moghaddam, et al.
Published: (2012-03-01)

Wavelet and multiple scale reproducing kernel methods /
by: 221049 Wing, Kam Liu, et al.

A Robust Polarmetric SAR Terrain Classification Based on Sparse Deep Autoencoder Model Combined With Wavelet Kernel-Based Classifier
by: Xiangdong Chen, et al.
Published: (2020-01-01)

SVM Model to Predict the Water Quality Based on Physicochemical Parameters
by: Manisha Koranga, et al.
Published: (2021-04-01)

EFFECT OF KERNEL FUNCTION IN SUPPORT VECTOR MACHINE FOR THE FAULT DIAGNOSIS OF PUMP
by: N. R. SAKTHIVEL, et al.
Published: (2016-06-01)

Application of Improved SVM Image Segmentation Algorithm in Computer Tomography Image Analysis
by: Xinhao Ji
Published: (2017-03-01)

Face Recognition Based on PCA, LBP and SVM Techniques
by: Omar Ibrahim Yehya Dallal Bashi
Published: (2015-03-01)

Side-Channel Power Analysis Based on SA-SVM
by: Ying Zhang, et al.
Published: (2023-05-01)

An Improved SVM with Earth Mover’s Distance Regularization and Its Application in Pattern Recognition
by: Rui Feng, et al.
Published: (2023-01-01)

Exact Heat Kernel on a Hypersphere and Its Applications in Kernel SVM
by: Chenchao Zhao, et al.
Published: (2018-01-01)

Klasifikasi Cacat Lintasan Dalam Bantalan Bola Berbasis Support Vector Machine (SVM) pada Fan Industri
by: Berli Paripurna Kamiel, et al.
Published: (2019-11-01)

SVM-RFE: selection and visualization of the most relevant features through non-linear kernels
by: Hector Sanz, et al.
Published: (2018-11-01)

Parsimonious Wavelet Kernel Extreme Learning Machine
by: Wang Qin, et al.
Published: (2015-11-01)

IRIS RECOGNITION BASED ON KERNELS OF SUPPORT VECTOR MACHINE
by: K. Saminathan, et al.
Published: (2015-01-01)

A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling
by: Henry Jhoán Areiza-Laverde, et al.
Published: (2020-07-01)

A New Class of Bessel Kernel Functions for Support Vector Machine
by: Yeqin Shao, et al.
Published: (2024-01-01)

Enhancing SVM for survival data using local invariances and weighting
by: Hector Sanz, et al.
Published: (2020-05-01)

Kernel-based adversarial attacks and defenses on support vector classification
by: Wanman Li, et al.
Published: (2022-08-01)

Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images
by: Dalila-Mercedes Pachajoa, et al.
Published: (2021-12-01)

Predicting the Motion of a USV Using Support Vector Regression with Mixed Kernel Function
by: Pengfei Xu, et al.
Published: (2022-12-01)

A Mortality Predicting Model for Heart Failure Patients Based on AdaBoost with Multi-kernel SVM
by: Xiaoyu LIU, et al.
Published: (2023-09-01)

Pattern Recognition using Multiclass Support Vector Machine Method with Local Binary Pattern as Feature Extraction
by: Nursyiva Irsalinda, et al.
Published: (2022-07-01)

Parallel Spatial Pyramid Match Kernel Algorithm for Object Recognition using a Cluster of Computers
by: A. Asilian Bidgoli, et al.
Published: (2019-03-01)

Recognition method of metal fracture images based on Wavelet kurtosis and Relevance vector machine
by: Sun Yi, et al.
Published: (2016-01-01)

Utilizing Spatio Temporal Gait Pattern and Quadratic SVM for Gait Recognition
by: Hajra Masood, et al.
Published: (2022-07-01)

Research on multimedia intelligent algorithm based on recognition and detection of table tennis ball striking action
by: Dong Xinjing
Published: (2024-01-01)

Forecasting of Air Pollution Index PM2.5 Using Support Vector Machine(SVM)
by: Nor Hayati Binti Shafii, et al.
Published: (2020-10-01)

A Novel Methodology for Classifying EMG Movements Based on SVM and Genetic Algorithms
by: Marcos Aviles, et al.
Published: (2022-11-01)

Automated Recognition of Hand Grasps Using Electromyography Signal Based on LWT and DTCWT of Wavelet Energy
by: A. Haiter Lenin, et al.
Published: (2020-07-01)

New reproducing kernel functions in the reproducing kernel Sobolev spaces
by: Ali Akgül, et al.
Published: (2020-01-01)

Radar Signal Recognition Based on Bagging SVM
by: Kaiyin Yu, et al.
Published: (2023-12-01)

Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM
by: Daniil Belkov, et al.
Published: (2017-04-01)