Deformable Markov Model Templates for Time-Series Pattern Matching
Author
Xianping Ge, Padhriac Smyth
Entry type
article
Abstract
This paper addresses the problem of automatically detecting specific patterns or shapes in time-series data. A novel and flexible approach is proposed based on segmental semi-Markov models. Unlike dynamic time-warping or template-matching, the proposed framework provides a principled and coherent framework for leveraging both prior knowledge and training data....
Key alpha
Ge
Pages
16
Affiliation
University of California, Irvine
Publication Date
2001-01-01
Language
English

