Guoliang Fan and Xiang-Gen Xia. Maximum likelihood texture analysis and classification using wavelet-domain hidden markov models. In Proceedings of the 34th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2000. Home/Search Document Details and Download
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....methods, a highly parameterized prediction system was implemented. We use a data structure that works for the more complex algorithms, and just ignore some aspects of it for the simpler ones. Figure 4.1: A sample node in a Markov tree. In particular, we build a Markov tree [SSM87, LS94, FX00] in which the transitions from the root node to its children represent the probabilities in a zero th order Markov model, the transitions to their children correspond to a first order model, and so on. The tree itself thus stores sequences in the form of a trie a data structure that ....
Guoliang Fan and Xiang-Gen Xia. Maximum likelihood texture analysis and classification using wavelet-domain hidden markov models. In Proceedings of the 34th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2000.
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Guoliang Fan and Xiang-Gen Xia. Maximum likelihood texture analysis and classification using wavelet-domain hidden markov models. In Proceedings of the 34th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2000.
Supervised Multimedia Categorisation - Aldershoff, Salden, Iacob, Kempen (2003) (Correct)
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G. Fan and X.-G. Xia, "Maximum likelihood texture analysis and classification using wavelet-domain hidden Markov models," In Proceedings of the 34th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2000.
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G. Fan and X.-G. Xia, "Maximum likelihood texture analysis and classification using wavelet-domain hidden Markov models," in Proc. 34th Asilomar Conf. Signals, Systems, and Computers, 2000.
Gaussian Mixture Models Of Texture And Colour For Image.. - Retrieval Permuter Francos (2003) (Correct)
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G. Fan and X.-G. Xia, "Maximum likelihood texture analysis and classification using wavelet-domain hidden markov models," in Proc. 34 th Asilomar Conf. Signals, Systems and Computers, October 2000.
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