[Paper published] Check out our new paper for image classification with great results using only small sets of training data

Do you have great idea(s) using machine learning but stopped by the fact that you do not have enough training (image) data? Check out our newly accepted KDD workshop paper for a novel solution.

New KDD 2019 MLG (the 15th International Workshop on Mining and Learning with Graphs) Workshop  paper for computer vision and image analysis led by Liping has been accepted:

Image classification using topological features automatically extracted from graph representation of images

A PDF of the paper can be found HERE

BibTeX Entry:

@inproceedings{mlg2019_7,
title={Image classification using topological features automatically extracted from graph representation of images},
author={Yang, Liping and Oyen, Diane and Wohlberg, Brendt},
booktitle={Proceedings of the 15th International Workshop on Mining and Learning with Graphs (MLG)},
year={2019}
}

 

 

 

[Paper published] Check out our new computer vision and image analysis paper for skeleton extraction

New CVPR 2019 Workshop paper for computer vision and image analysis led by Liping has been published:

A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis. 

A PDF of the paper can be found HERE. (Check HERE if it is not retrievable on the http://openaccess.thecvf.com) [Acceptance rate < 10/32 = 31.25%]

4. Yang, L. and Worboys, M. Generation of navigation graphs for indoor space. International Journal of Geographical Information Science, 29(10): 1737-1756, 2015. [Click here (PDF) to download a draft of this paper]