PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Model-Based Clustering and Segmentation of Sequences
Darío García-García, Emilio Parrado-Hernández and Fernando Díaz-de-María
In: Temporal Segmentation: Perspectives from Statistics, Machine Learning, and Signal Processing Workshop (NIPS'09), 12 Dec 2003, Whistler.


We propose a new algorithm for sequence segmentation based on recent advances in semi-parametric sequence clustering. This approach implies the use of model based distance measures between sequences, as well as a variant of spectral clustering specially tailored for segmentation

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:5595
Deposited By:Darío García-García
Deposited On:08 March 2010