Article detail · 2023
Machine learning methods on quantized vectors
Journal
Journal of Computer & Electrical and Electronics Engineering SciencesISSN 2980-177X
YÖKSİS
OpenAlex
Open access · hybrid
Citations 1
Percentile 37.2%
FWCI 0.09
- Year
- 2023
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Journal of Computer & Electrical and Electronics Engineering Sciences
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
English (OpenAlex)
Vector quantization is one of the important issues in digital images. There are many studies conducted on quantized vectors or images. On the other hand, machine-learning approaches are a popular issue today. In this study, the classification performances of machine learning approaches on reduced image vectors are examined. Firstly, Corel 1K data set were reduced to 64 colors with octree and histogram feature vectors extracted. Classification was carried out using various machine learning approaches on the relevant vectors. As a result of the classification, the success of the methods was examined.
Topics
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Primary topic Image Retrieval and Classification Techniques