Deep image mining for convolution neural network
Image mining is the method of searching and discovering valuable information and knowledge from a huge image dataset. Image mining is based on data mining, digital image processing, machine learning, image retrieval, and artificial intelligence. Image mining handled with the hidden information extra...
Saved in:
Main Authors: | A. Jasm, Dhamea (Author), M. Hamad, Murtadha (Author), Hussein Alrawi, Azmi Tawfek (Author) |
---|---|
Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2020-10-01.
|
Subjects: | |
Online Access: | Get fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Illumination-robust face recognition based on deep convolutional neural networks architectures
by: Bendjillali, Ridha Ilyas, et al.
Published: (2020) -
Cloud-based architecture for face identification with deep learning using convolutional neural network
by: Herlambang, Aditya, et al.
Published: (2021) -
Multi-feature based automatic facial expression recognition using deep convolutional neural network
by: Dixit, Anjali, et al.
Published: (2022) -
Efficient resampling features and convolution neural network model for image forgery detection
by: S, Manjunatha, et al.
Published: (2022) -
Detection of Cataract Based on Image Features Using Convolutional Neural Networks
by: Weni, Indra, et al.
Published: (2021)