Research on Image Feature Extraction Method Based on Orthogonal Projection Transformation of Multi-task Learning Technology
Xiaoyuan Jing, Li Li, Cailing Wang, Yongfang Yao, Fengnan Yu
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.724How to use a DOI?
- multi-task learning, projection transformation, feature extraction, face recognition
- When the number of labeled training samples is very small, the sample information we can use would be very little. Because of this, the recognition rates of some traditional image recognition methods are not satisfactory. In order to use some related information that always exist in other databases, which is helpful to feature extraction and can improve the recognition rates, we apply multi-task learning to feature extraction of images. Our researches are based on transferring the projection transformation. Our experiments results on the public AR, FERET and CAS-PEAL databases demonstrate that the proposed approaches are more effective than the general related feature extraction methods in classification performance.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaoyuan Jing AU - Li Li AU - Cailing Wang AU - Yongfang Yao AU - Fengnan Yu PY - 2013/03 DA - 2013/03 TI - Research on Image Feature Extraction Method Based on Orthogonal Projection Transformation of Multi-task Learning Technology BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering PB - Atlantis Press SP - 2901 EP - 2904 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.724 DO - https://doi.org/10.2991/iccsee.2013.724 ID - Jing2013/03 ER -