Selecting training sets for support vector machines: a review
Support vector machines (SVMs) are a supervised classifier successfully applied in a
plethora of real-life applications. However, they suffer from the important shortcomings of …
plethora of real-life applications. However, they suffer from the important shortcomings of …
Cbir-dss: Business decision oriented content-based recommendation model for e-commerce
Business-based decision support systems have been proposed for a few decades in the e-
commerce and textile industries. However, these Decision Support Systems (DSS) have not …
commerce and textile industries. However, these Decision Support Systems (DSS) have not …
Comparative analysis of color histogram and LBP in CBIR systems
R Dowerah, S Patel - Multimedia Tools and Applications, 2024 - Springer
In the current trend, the image retrieval (IR) system has also been shifted from traditional text-
based to content-based with the advancement in technology. Many issues have been …
based to content-based with the advancement in technology. Many issues have been …
[PDF][PDF] An effective similarity measure via genetic algorithm for content based image retrieval with extensive features.
Recently, the construction of large datasets has been facilitated by the developments in data
storage and image acquisition technologies. In order to manage these datasets in an …
storage and image acquisition technologies. In order to manage these datasets in an …
[PDF][PDF] A comparison and analysis of soft computing techniques for content based image retrieval system
S Manoharan, S Sathappan - International Journal of Computer …, 2012 - Citeseer
Content-based image retrieval has become one of the most active research areas in the past
few years. In this paper various methodologies used in the research area of Content Based …
few years. In this paper various methodologies used in the research area of Content Based …
[PDF][PDF] An Efficient image clustering and content based image retrieval using Fuzzy K means clustering algorithm
The construction of large database with thousands of data has been facilitated by the
developments in data storage and image acquisition technologies. Suitable information …
developments in data storage and image acquisition technologies. Suitable information …
An effective similarity measure via genetic algorithm for Content-Based Image Retrieval with extensive features
With the aid of image content, the relevant images can be extracted from the image in the
Content Based Image Retrieval (CBIR) system. Concise feature sets limit the retrieval …
Content Based Image Retrieval (CBIR) system. Concise feature sets limit the retrieval …
Cardiac MRI view classification using autoencoder
MS Shaker, M Wael, IA Yassine… - 2014 Cairo International …, 2014 - ieeexplore.ieee.org
The growing interest of using cardiac Magnetic Resonance Imaging (MRI) to assess the
heart function and structure results in creating huge cardiac image databases. Due to the …
heart function and structure results in creating huge cardiac image databases. Due to the …
[PDF][PDF] Efficient Platform as a Service (PaaS) Model on Public Cloud for CBIR System.
Accepted: 19 February 2020 Medical image processing requires handling a huge amount of
data. Unstructured big data can create some issues related to latency. Distributed …
data. Unstructured big data can create some issues related to latency. Distributed …
[PDF][PDF] Classification of biomedical images using content based image retrieval systems
Y Zhang, F Zhang, Y Cui, R Ning - International Journal of …, 2018 - academia.edu
Because of the numerous application of Content-based image retrieval (CBIR) system in
various areas, it has always remained a topic of keen interest by the researchers. Fetching of …
various areas, it has always remained a topic of keen interest by the researchers. Fetching of …