Parsimonious Segmentation of Time Series' by Potts Models

Winkler, Gerhard; Kempe, A.; Liebscher, V. und Wittich, O. (2003): Parsimonious Segmentation of Time Series' by Potts Models. Sonderforschungsbereich 386, Discussion Paper 348

Abstract

Typical problems in the analysis of data sets like time-series or images crucially rely on the extraction of primitive features based on segmentation. Variational approaches are a popular and convenient framework in which such problems can be studied. We focus on Potts models as simple nontrivial instances. The discussion proceeds along two data sets from brain mapping and functional genomics.

• Dokumententyp: Paper
• Fakultät: Mathematik, Informatik und Statistik > Statistik > Sonderforschungsbereich 386 ; Sonderforschungsbereiche > Sonderforschungsbereich 386
• Themengebiete: 500 Naturwissenschaften und Mathematik > 510 Mathematik
• Sprache: Englisch