Web Intelligence, IEEE / WIC / ACM International Conference on (2005)
Compi?gne University of Technology, France
Sept. 19, 2005 to Sept. 22, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2005.136
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.
D. Tao, S. Maybank, W. Hu and X. Li, "Stable Third-Order Tensor Representation for Color Image Classification," Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence(WI), Compiegne, France, 2005, pp. 641-644.