Graduate School and Research Center In communication systems

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

Joakim Jiten - PhD Student - Multimedia Communications

Multimedia Communications

Date: May 18, 2005

Location: Eurecom - Institut Eurecom

The one-dimensional hidden Markov model (1-D HMM) is a class of stochastic signal model which has a long history of success in various problem domains, such as Speech Recognition and Language modeling. This success is largely due to the development of com

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

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