Probabilistic kernels for the classification of auto-regressive visual processes

@article{Chan2005ProbabilisticKF,
  title={Probabilistic kernels for the classification of auto-regressive visual processes},
  author={Antoni B. Chan and Nuno Vasconcelos},
  journal={2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)},
  year={2005},
  volume={1},
  pages={846-851 vol. 1}
}
We present a framework for the classification of visual processes that are best modeled with spatio-temporal autoregressive models. The new framework combines the modeling power of a family of models known as dynamic textures and the generalization guarantees, for classification, of the support vector machine classifier. This combination is achieved by the derivation of a new probabilistic kernel based on the Kullback-Leibier divergence (KL) between Gauss-Markov processes. In particular, we… CONTINUE READING
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References

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Showing 1-10 of 18 references

Dynamic Textures

International Journal of Computer Vision • 2003
View 4 Excerpts
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The Nature of Statistical Learning Theory

Statistics for Engineering and Information Science • 2000
View 11 Excerpts
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Efficient Computation of the KL Divergence between Dynamic Textures

A. B. Chan, N. Vasconcelos
Technical Report SVCL-TR- 2004-02, • 2004
View 2 Excerpts

A metric for arma processes

R. J. Martin
IEEE Transactions on Signal Processing, • 2000
View 1 Excerpt

Subspace angles between linear stochastic models

K. De Cock, B. De Moor
In IEEE Conference on Decision and Control, • 2000
View 1 Excerpt

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