This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...
— We present an algorithm that probabilistically covers a bounded region of the state space of a nonlinear system with a sparse tree of feedback stabilized trajectories leading t...
Abstract— In this paper, we propose a deformable-modeldriven method to recognize the state of hanging clothes using three-dimensional (3D) observed data. For the task to pick up ...
Yasuyo Kita, Toshio Ueshiba, Ee Sian Neo, Nobuyuki...
— Achieving and maintaining user engagement is a key goal of human-robot interaction. This paper presents a method for determining user engagement state from physiological data (...
Emily Mower, David Feil-Seifer, Maja J. Mataric, S...