IEEE Transactions on Pattern Analysis and Machine Intelligence
A Statistical Model for Contours in Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised signal restoration using hidden Markov chains with copulas
Signal Processing
Multisensor triplet Markov fields and theory of evidence
Image and Vision Computing
Text-based video content classification for online video-sharing sites
Journal of the American Society for Information Science and Technology
Hi-index | 0.01 |
This paper deals with unsupervised Bayesian classification of multidimensional data. We propose an extension of a previous method of generalized mixture estimation to the correlated sensors case. The method proposed is valid in the independent data case, as well as in the hidden Markov chain or field model case, with known applications in signal processing, particularly speech or image processing. The efficiency of the method proposed is shown via some simulations concerning hidden Markov fields, with application to unsupervised image segmentation