loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)
Stable Third-Order Tensor Representation for Color Image Classification
Compi?gne University of Technology, France
September 19-September 22
ISBN: 0-7695-2415-X
Dacheng Tao, University of London
Steve Maybank, University of London
Weiming Hu, Chinese Academic Sciences
Xuelong Li, University of London
General tensors can represent colour images more naturally than conventional features; however the general tensors? stability properties are not reported and remain to be a key problem. In this paper, we use the tensor minimax probability (TMPM) to prove that the tensor representation is stable. The proof is based on the random subspace method through a large number of experiments.
Citation:
Dacheng Tao, Steve Maybank, Weiming Hu, Xuelong Li, "Stable Third-Order Tensor Representation for Color Image Classification," wi, pp.641-644, 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.