Survey on SVM and their application in image classification

MA Chandra, SS Bedi - International Journal of Information Technology, 2021 - Springer
Life of any living being is impossible if it does not have the ability to differentiate between
various things, objects, smell, taste, colors, etc. Human being is a good ability to classify the …

Support vector machine-based EMG signal classification techniques: A review

DC Toledo-Pérez, J Rodríguez-Reséndiz… - Applied Sciences, 2019 - mdpi.com
This paper gives an overview of the different research works related to electromyographic
signals (EMG) classification based on Support Vector Machines (SVM). The article …

WR-SVM model based on the margin radius approach for solving the minimum enclosing ball problem in support vector machine classification

A Rizwan, N Iqbal, R Ahmad, DH Kim - Applied Sciences, 2021 - mdpi.com
The generalization error of conventional support vector machine (SVM) depends on the ratio
of two factors; radius and margin. The traditional SVM aims to maximize margin but ignore …

CBIR for classification of cow types using GLCM and color features extraction

T Sutojo, PS Tirajani, CA Sari… - 2017 2nd …, 2017 - ieeexplore.ieee.org
Cow is one of the animals that have many benefits for humans. There are various types of
cows based on benefits such as dairy cows, beef cattle, worker cattle, and others. Cattle …

Residual UNet with Dual Attention—An ensemble residual UNet with dual attention for multi‐modal and multi‐class brain MRI segmentation

KHV Kumari, SS Barpanda - International Journal of Imaging …, 2023 - Wiley Online Library
In this paper, we have proposed a variant of UNet for brain magnetic resonance imaging
(MRI) segmentation. The proposed model, termed as Residual UNet with Dual Attention …

Fuzzy-NN approach with statistical features for description and classification of efficient image retrieval

M Garg, H Singh, M Malhotra - Modern Physics Letters A, 2019 - World Scientific
Image retrieval based on content not only relies heavily upon the type of descriptors, but on
the steps taken further. This has been an extensively utilized methodology for finding and …

[PDF][PDF] An effective approach to an image retrieval using SVM classifier

MA Ansari, M Dixit, D Kurchaniya, PK Johari - database, 2017 - researchgate.net
Revised: 14/May/2017, Accepted: 07/June/2017, Published: 30/Jun/2017 Abstract—Content
Based Image Retrieval (CBIR) is an important and challenging research area of digital …

Comparative analysis of image classification techniques using statistical features in CBIR systems

M Kaur, S Dhingra - 2017 International Conference on I-SMAC …, 2017 - ieeexplore.ieee.org
CBIR is one of the most widely used approaches for detecting images from an extensive
image database. Now a day, numerous approaches have been developed to enhance the …

An Enhanced Triadic Color Scheme for Content‐Based Image Retrieval

SKB Sangeetha, SK Mathivanan… - Mathematical …, 2022 - Wiley Online Library
The complexity of multimedia content, particularly images, has risen dramatically in recent
years, and millions of images are shared on social media every day. Finding or retrieving an …

Texture image retrieval using a classification and contourlet-based features

A Rouhafzay, N Baaziz, MS Allili - arXiv preprint arXiv:2403.06048, 2024 - arxiv.org
In this paper, we propose a new framework for improving Content Based Image Retrieval
(CBIR) for texture images. This is achieved by using a new image representation based on …