552 search results - page 3 / 111 » Abstracting from Robot Sensor Data using Hidden Markov Model... |
PR
2011
13 years 22 days ago
2011
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
IROS
2006
IEEE
13 years 11 months ago
2006
IEEE
— This paper proposes a Hidden Markov Model (HMM) based approach to generate human-like movements for humanoid robots. Given human motion capture data for a class of movements, p...
RAS
1998
13 years 5 months ago
1998
Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i.e., they do not exploit the opport...
ICIP
2004
IEEE
14 years 7 months ago
2004
IEEE
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...