Ecole d'ingénieur et centre de recherche en télécommunications

Seminar: Image Classification Using Efficient Multi-Dimensional Hidden Markov Modeling with Dependency Trees

Joakim Jiten - PhD Student - Multimedia Communications

Communications Multimédia

Date: 18 mai 2005

Lieu: Eurecom - Institut Eurecom

estimate the numeric values of the model parameters from training data. Conventional block-based Image classification algorithms decide the class of a block by examining only the feature vector of this block and ignoring context information. In or

Image Classification Using Efficient Multi-Dimensional Hidden Markov Modeling with Dependency Trees

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