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....
