scholar.google.com › citations
Abstract: A new approach called Fuzzy Extended Feature Line (FEFL) is proposed for image classification in this paper, which retain the advantages and ideas ...
Abstract—A new approach called Fuzzy Extended Feature. Line (FEFL) is proposed for image classification in this paper, which retain the advantages and ideas ...
A new approach called Fuzzy Extended Feature Line (FEFL) is proposed for image classification in this paper, which retain the advantages and ideas of ...
The aim of this research is to show the relevant feature extraction technique that improves the classification accuracy rate and provides the most implicit ...
People also ask
What is the best classifier for image classification?
What is fuzzy logic for image classification?
The objective of this paper is to develop a generalized algorithm for intelligent systems that can handle uncertainty and imprecise behavior especially for ...
Missing: Classifier | Show results with:Classifier
Our proposed algorithm for Fuzzy FCA generates a concept lattice creating clusters of images that share similar attributes which meet a minimum threshold value.
Jul 15, 2021 · In this paper, we develop such a method where we form an ensemble-based classification model using three Convolutional Neural Network (CNN) architectures.
Mar 14, 2024 · The HQFNN is composed of four main network parts: quantum fuzzy logic representation, deep neural network representation, fusion layer and ...
The VAE-FNN simulates the image perception, feature extraction, inductive reasoning, and adjustment learning processes in the human brain.
Fuzzy Extended Feature Line Classifier for Image Classification · Jeng-Shyang ... A new approach called Fuzzy Extended Feature Line (FEFL) is proposed for image ...