Similarity metrics for classification: A Review
In this paper, fourteen similarity metrics are reviews, which will be the most important part in
Diagnosis, Classification, Clustering and Recognition. Most researchers may not sure to …
Diagnosis, Classification, Clustering and Recognition. Most researchers may not sure to …
Energy-efficient ferroelectric field-effect transistor-based oscillators for neuromorphic system design
H Eslahi, TJ Hamilton… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Neuromorphic or bioinspired computational platforms, as an alternative for von-Neumann
structures, have benefitted from the excellent features of emerging technologies in order to …
structures, have benefitted from the excellent features of emerging technologies in order to …
Content based image retrieval using two color feature extraction
FA Mufarroha, DR Anamisa… - Journal of physics …, 2020 - iopscience.iop.org
Abstract Content Based Image Retrieval (CBIR) is a process to search for an image based
on the content or features that are inside. Nowadays, many image retrieval applications …
on the content or features that are inside. Nowadays, many image retrieval applications …
[PDF][PDF] An effective approach to an image retrieval using SVM classifier
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 …
Based Image Retrieval (CBIR) is an important and challenging research area of digital …
A hybrid late fusion-genetic algorithm approach for enhancing CBIR performance
AM Mahmoud, H Karamti, M Hadjouni - Multimedia Tools and Applications, 2020 - Springer
Accurate discrimination of images features is a main success factor towards efficient content-
based image retrieval systems. These features can be extracted using local and/or global …
based image retrieval systems. These features can be extracted using local and/or global …
[PDF][PDF] An Image Retrieval Framework: A Review.
Content-Based Image Retrieval is a process to retrieve the similar images from the large set
of image database corresponding to the query image. In CBIR low level or pixel level …
of image database corresponding to the query image. In CBIR low level or pixel level …
Comparison of similarity measures in HSV quantization for CBIR
Researchers implemented various similarity measure for CBIR using HSV Quantization.
Implemented similarity measures on this study is Euclidean Distance, Cramer-von Mises …
Implemented similarity measures on this study is Euclidean Distance, Cramer-von Mises …
Comparison of K-means and K-medoids in Tourist Attraction Clustering based on Visitor Characteristics
A Jauhari, MR Rahabillah, DR Anamisa… - … of Science and …, 2022 - ieeexplore.ieee.org
The purpose of this study was to determine the clustering of tourist objects scattered in the
Bangkalan area. Clustering has been done using data on the characteristics of tourist …
Bangkalan area. Clustering has been done using data on the characteristics of tourist …
Image retrieval based on discrete curvelet transform
ZH Al-Obaide, AA Al-Ani - Iraqi Journal of Information and …, 2021 - ijict.edu.iq
Content-Based Image Retrieval (CBIR) is a process of searching for an image according to
the content or feature that is within it. Nowadays, most image retrieval applications have …
the content or feature that is within it. Nowadays, most image retrieval applications have …
[PDF][PDF] A refined approach of image retrieval using rbf-svm classifier
Abstract In recent trends, Content Based image retrieval (CBIR) is a vast as well as an
attractive research area, where various active researchers are doing their respective work. It …
attractive research area, where various active researchers are doing their respective work. It …