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A novel fuzzy feature encoding approach for image classification
Umit L. Altintakan
,
Adnan Yazici
Department of Electrical and Computer Engineering
Turkish Air Force Academy
Middle East Technical University
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
Citations (Scopus)
Overview
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Keyphrases
BOW Model
25%
Classification Accuracy
25%
Classification Methods
25%
Feature Encoding
100%
Fuzzy Assignment Problem
25%
Fuzzy Features
100%
Image Classification
100%
Image Data
25%
Image Features
50%
Image Representation
25%
Learnability
25%
Membership Degree
25%
Naïve Bayesian
25%
Quantization Error
25%
Uncertainty Problem
25%
Visual Words
50%
Computer Science
Classification Accuracy
33%
Classification Technique
33%
Image Classification
100%
image feature
66%
Image Representation
33%
Learning Capacity
33%
Membership Degree
33%
Naive Bayesian
33%
Quantisation Error
33%
Support Vector Machine
33%
INIS
accuracy
14%
assignments
28%
capacity
14%
classification
100%
datasets
14%
errors
14%
fuzzy logic
100%
images
100%
learning
14%
quantization
14%