 |
Technical Program
Paper Detail
| Paper: | WP-P5.1 |
| Session: | Image/Video Storage and Retrieval |
| Time: | Wednesday, October 11, 14:20 - 17:00 |
| Presentation: |
Poster
|
| Title: |
IMAGE CATEGORIZATION WITH SEMI-SUPERVISED LEARNING |
| Authors: |
Zhenghua Yu; National ICT Australia | | |
| Abstract: |
This paper addresses the problem of categorizing/classifying images, with an emphasis on utilizing unlabeled image data to achieve higher classification accuracy. The main contribution of this paper is two-fold: firstly we introduce graph based semi-supervised learning to the problem of image categorization. Secondly we propose a novel neighborhood preserving graph-based semi-supervised learning method. Experiments of applying the proposed method to categorize image data demonstrated its effectiveness. |
|