Recognition of flotation froth conditions with k-shot learning and convolutional neural networks
In this study, previous work on k-shot learning in flotation froth image analysis using small sets of froth images, is extended. As before, image synthesis is used to augment these data sets, but in addition, fine-tuning of convolutional neural networks, as well as smaller data sets with as few as 1...
| Main Authors: | Liu, Xiu, Aldrich, Chris |
|---|---|
| Format: | Journal Article |
| Published: |
ELSEVIER
2023
|
| Online Access: | http://hdl.handle.net/20.500.11937/97647 |
Similar Items
Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing
by: Horn, Z., et al.
Published: (2017)
by: Horn, Z., et al.
Published: (2017)
Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image Sensors
by: Fu, Y., et al.
Published: (2018)
by: Fu, Y., et al.
Published: (2018)
Recent Advances in Flotation Froth Image Analysis
by: Aldrich, Chris, et al.
Published: (2022)
by: Aldrich, Chris, et al.
Published: (2022)
Froth image analysis by use of transfer learning and convolutional neural networks
by: Fu, Y., et al.
Published: (2018)
by: Fu, Y., et al.
Published: (2018)
The estimation of platinum flotation grade from froth image features by using artificial neural networks
by: Marais, C., et al.
Published: (2011)
by: Marais, C., et al.
Published: (2011)
Motion estimation in flotation froth using the Kalman filter
by: Amankwah, A., et al.
Published: (2015)
by: Amankwah, A., et al.
Published: (2015)
Estimation of platinum flotation grades from froth image data
by: Marais, C., et al.
Published: (2011)
by: Marais, C., et al.
Published: (2011)
The Relationship between Froth Image Features and Platinum Flotation Grade
by: Marais, C., et al.
Published: (2010)
by: Marais, C., et al.
Published: (2010)
Multivariate image analysis of realgar–orpiment flotation froths
by: Aldrich, Chris, et al.
Published: (2017)
by: Aldrich, Chris, et al.
Published: (2017)
Robust Block-Matching Motion Estimation of Flotation Froth Using Mutual Information
by: Amankwah, A., et al.
Published: (2012)
by: Amankwah, A., et al.
Published: (2012)
Relationship between solids flux and froth features in batch flotation of sulphide ore
by: Yang, X., et al.
Published: (2005)
by: Yang, X., et al.
Published: (2005)
Motion Estimation in Flotation Froth Images Based on Edge Detection and Mutual Information
by: Amankwah, Anthony, et al.
Published: (2012)
by: Amankwah, Anthony, et al.
Published: (2012)
Flotation Froth Image Analysis by Use of a Dynamic Feature Extraction Algorithm
by: Fu, Y., et al.
Published: (2016)
by: Fu, Y., et al.
Published: (2016)
Machine vision-based motion estimation of flotation froth using mutual information
by: Amankwah, A., et al.
Published: (2011)
by: Amankwah, A., et al.
Published: (2011)
Online monitoring and control of froth flotation systems with machine vision:A review
by: Aldrich, Chris, et al.
Published: (2010)
by: Aldrich, Chris, et al.
Published: (2010)
Automatic flotation froth bubble size distribution estimation using mean shift and watershed transforms.
by: Amankwah, A., et al.
Published: (2014)
by: Amankwah, A., et al.
Published: (2014)
Multivariate image analysis of a realgar-orpiment batch froth flotation system
by: Aldrich, Chris, et al.
Published: (2014)
by: Aldrich, Chris, et al.
Published: (2014)
Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms
by: Amankwah, A., et al.
Published: (2014)
by: Amankwah, A., et al.
Published: (2014)
Grade estimation in realgar-orpiment batch flotation systems by froth image analysis and kernel methods
by: Aldrich, Chris, et al.
Published: (2014)
by: Aldrich, Chris, et al.
Published: (2014)
Prediction and Influence of Mineral Liberation on Froth Flotation Performance
by: Zhang, Jian
Published: (2012)
by: Zhang, Jian
Published: (2012)
The journey of the coarse particle through the pulp and froth in flotation
by: Dunne, Robert
Published: (2012)
by: Dunne, Robert
Published: (2012)
Froth-based modeling and control of a batch flotation process
by: Jahedsaravani, Ali, et al.
Published: (2016)
by: Jahedsaravani, Ali, et al.
Published: (2016)
Development of a new algorithm for segmentation of flotation froth images
by: Jahedsaravani, Ali, et al.
Published: (2014)
by: Jahedsaravani, Ali, et al.
Published: (2014)
An image segmentation algorithm for measurement of flotation froth bubble size distributions
by: Jahedsaravani, A., et al.
Published: (2017)
by: Jahedsaravani, A., et al.
Published: (2017)
The Interaction Of Feldspar, Mica And Quartz With Different Collectors During Froth Flotation
by: Ibrahim, Ismail
Published: (2012)
by: Ibrahim, Ismail
Published: (2012)
The Interaction Of Feldspar, Mica And Quartz With Different Collectors During Froth Flotation
by: Ibrahim, Ismail
Published: (2012)
by: Ibrahim, Ismail
Published: (2012)
Malaysia traffic sign recognition with convolutional neural network
by: Lau, M., et al.
Published: (2015)
by: Lau, M., et al.
Published: (2015)
Handwritten character recognition using convolutional neural network
by: Khandokar, I., et al.
Published: (2021)
by: Khandokar, I., et al.
Published: (2021)
Calf posture recognition using convolutional neural network
by: Tung, Tan Chen, et al.
Published: (2022)
by: Tung, Tan Chen, et al.
Published: (2022)
Iris recognition using convolutional neural network / Zhuang Yuan
by: Zhuang, Yuan
Published: (2018)
by: Zhuang, Yuan
Published: (2018)
Bangla handwritten numeral recognition using convolutional neural network
by: Akhand, M. A. H, et al.
Published: (2015)
by: Akhand, M. A. H, et al.
Published: (2015)
Bangla handwritten character recognition using convolutional neural network
by: Rahman, Md. Mahbubar, et al.
Published: (2015)
by: Rahman, Md. Mahbubar, et al.
Published: (2015)
License Plate Recognition Using Convolutional recurrent Neural Network
by: Tee, Kai Feng
Published: (2019)
by: Tee, Kai Feng
Published: (2019)
Multiple convolutional neural network training for Bangla handwritten numeral recognition
by: Akhand, M. A. H, et al.
Published: (2016)
by: Akhand, M. A. H, et al.
Published: (2016)
Face recognition using the convolutional neural network for barrier gate system
by: Mochammad Langgeng, Prasetyo, et al.
Published: (2021)
by: Mochammad Langgeng, Prasetyo, et al.
Published: (2021)
Effect of Preconditioning on the Flotation of Coal
by: Feng, D., et al.
Published: (2005)
by: Feng, D., et al.
Published: (2005)
Super-low resolution face recognition using integrated Efficient Sub-Pixel Convolutional Neural Network (ESPCN) and Convolutional Neural Network (CNN)
by: Talab, Mohammed Ahmed, et al.
Published: (2019)
by: Talab, Mohammed Ahmed, et al.
Published: (2019)
Analysis of convolutional neural networks for facial expression recognition on GPU, TPU and CPU
by: Anbananthan Pillai, Munanday, et al.
Published: (2023)
by: Anbananthan Pillai, Munanday, et al.
Published: (2023)
Fish species recognition using convolutional neural network / Tan Ying Ying
by: Tan, Ying Ying
Published: (2018)
by: Tan, Ying Ying
Published: (2018)
Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition
by: Akhand, M. A. H, et al.
Published: (2016)
by: Akhand, M. A. H, et al.
Published: (2016)
Similar Items
-
Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing
by: Horn, Z., et al.
Published: (2017) -
Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image Sensors
by: Fu, Y., et al.
Published: (2018) -
Recent Advances in Flotation Froth Image Analysis
by: Aldrich, Chris, et al.
Published: (2022) -
Froth image analysis by use of transfer learning and convolutional neural networks
by: Fu, Y., et al.
Published: (2018) -
The estimation of platinum flotation grade from froth image features by using artificial neural networks
by: Marais, C., et al.
Published: (2011)