Human action recognition using support vector machines and 3D convolutional neural networks
Recently, deep learning approach has been used widely in order to enhance the recognition accuracy with different application areas. In this paper, both of deep convolutional neural networks (CNN) and support vector machines approach were employed in human action recognition task. Firstly, 3D CNN ap...
Saved in:
Main Author: | Latah, Majd (Author) |
---|---|
Format: | EJournal Article |
Published: |
Universitas Ahmad Dahlan,
2017-03-31.
|
Subjects: | |
Online Access: | Get Fulltext Get Fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effect of Sentence Length in Sentiment Analysis Using Support Vector Machine and Convolutional Neural Network Method
by: Pambudi, Agung, et al.
Published: (2021) -
Lampung Script Recognition Using Convolutional Neural Network
by: Bintoro, Panji, et al.
Published: (2022) -
Characters recognition using keys points and convolutional neural network
by: Boutounte, M., et al.
Published: (2021) -
Convolutional Neural Networks for Handwritten Javanese Character Recognition
by: Dewa, Chandra Kusuma, et al.
Published: (2018) -
Flower and leaf recognition for plant identification using convolutional neural network
by: FatihahSahidan, Nurul, et al.
Published: (2019)