-
- KAWASHIMA Hiroaki
- Graduate School of Informatics, Kyoto University
-
- MATSUYAMA Takashi
- Graduate School of Informatics, Kyoto University
この論文をさがす
抄録
This paper addresses the parameter estimation problem of an interval-based hybrid dynamical system (interval system). The interval system has a two-layer architecture that comprises a finite state automaton and multiple linear dynamical systems. The automaton controls the activation timing of the dynamical systems based on a stochastic transition model between intervals. Thus, the interval system can generate and analyze complex multivariate sequences that consist of temporal regimes of dynamic primitives. Although the interval system is a powerful model to represent human behaviors such as gestures and facial expressions, the learning process has a paradoxical nature : temporal segmentation of primitives and identification of constituent dynamical systems need to be solved simultaneously. To overcome this problem, we propose a multiphase parameter estimation method that consists of a bottom-up clustering phase of linear dynamical systems and a refinement phase of all the system parameters. Experimental results show the method can organize hidden dynamical systems behind the training data and refine the system parameters successfully.
収録刊行物
-
- IEICE transactions on fundamentals of electronics, communications and computer sciences
-
IEICE transactions on fundamentals of electronics, communications and computer sciences 88 (11), 3022-3035, 2005-11-01
一般社団法人電子情報通信学会
- Tweet
キーワード
詳細情報 詳細情報について
-
- CRID
- 1571698602389460480
-
- NII論文ID
- 110003500456
-
- NII書誌ID
- AA10826239
-
- ISSN
- 09168508
-
- 本文言語コード
- en
-
- データソース種別
-
- CiNii Articles