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.

Abstract

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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