Fusion features ensembling models using Siamese convolutional neural network for kinship verification
Family is one of the most important entities in the community. Mining the genetic information through facial images is increasingly being utilized in wide range of real-world applications to facilitate family members tracing and kinship analysis to become remarkably easy, inexpensive, and fast as co...
Saved in:
Main Author: | Mohammed Ali, Al Muashi |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/101537/1/MohammedAliAlmuashiPSC2021.pdf http://eprints.utm.my/id/eprint/101537/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150567 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Drug discovery through Covid-19 genome sequencing with siamese graph convolutional neural network
by: Pati, Soumen Kumar, et al.
Published: (2024) -
Automated kinship verification and identification through human facial images: a survey
by: Almuashi, M., et al.
Published: (2017) -
Slow Fusion Triplanar Convolutional Neural Networks For Liver Tumor Segmentation
by: Chung, Sheng Hung
Published: (2022) -
An improved approach for medical image fusion using sparse representation and Siamese convolutional neural network
by: Yousif, Ahmed Sabeeh, et al.
Published: (2022) -
Leveraging Ensemble Strategies in Identity Verification and Feature Optimisation for Phishing Website Detection
by: Tan, Colin Choon Lin
Published: (2021)