34 search results - page 6 / 7 » Reduced-order modeling of Markov and hidden Markov processes... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
We investigate the issue of sign language automatic phonetic subunit modeling, that is completely data driven and without any prior phonetic information. A first step of visual p...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In this paper, we present experiments on continuous time, continuous scale affective movie content recognition (emotion tracking). A major obstacle for emotion research has been t...
AVSS
2006
IEEE
13 years 11 months ago
2006
IEEE
In this paper we address the spatial activity recognition problem with an algorithm based on Smith-Waterman (SW) local alignment. The proposed SW approach utilises dynamic program...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...