Stable third-order tensor representation for colour image classification

Publication Type:
Conference Proceeding
Citation:
Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005, 2005, 2005 pp. 641 - 644
Issue Date:
2005-12-01
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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. © 2005 IEEE.
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