@article{(Open Science Index):https://publications.waset.org/pdf/13302,
	  title     = {Face Recognition using a Kernelization of Graph Embedding},
	  author    = {Pang Ying Han and  Hiew Fu San and  Ooi Shih Yin},
	  country	= {},
	  institution	= {},
	  abstract     = {Linearization of graph embedding has been emerged
as an effective dimensionality reduction technique in pattern
recognition. However, it may not be optimal for nonlinearly
distributed real world data, such as face, due to its linear nature. So, a
kernelization of graph embedding is proposed as a dimensionality
reduction technique in face recognition. In order to further boost the
recognition capability of the proposed technique, the Fisher-s
criterion is opted in the objective function for better data
discrimination. The proposed technique is able to characterize the
underlying intra-class structure as well as the inter-class separability.
Experimental results on FRGC database validate the effectiveness of
the proposed technique as a feature descriptor.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {6},
	  number    = {2},
	  year      = {2012},
	  pages     = {209 - 213},
	  ee        = {https://publications.waset.org/pdf/13302},
	  url   	= {https://publications.waset.org/vol/62},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 62, 2012},
	}