Semi-supervised Classification by Probabilistic Relaxation
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-25085-9_39
Reference12 articles.
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3. Christmas, W.J., Kittler, J., Petrou, M.: Structural matching in computer vision using probabilistic relaxation. IEEE Trans. on PAMI 17(8), 749–764 (1995)
4. Diplaros, A., Vlassis, N., Gevers, T.: A spatially constrained generative model and an em algorithm for image segmentation. IEEE Trans. on Neural Networks 18(3), 798–808 (2007)
5. Faber, P.: A theoretical framework for relaxation processes in pattern recognition: Application to robust nonparametric contour generalization. IEEE Trans. on PAMI 25(8), 1021–1027 (2003)
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