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
Permalink: http://www.eurecom.fr/seminar/75
Image Classification Using Efficient Multi-Dimensional Hidden Markov Modeling with Dependency Trees


