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
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