1014 search results - page 68 / 203 » A Spectral Algorithm for Learning Hidden Markov Models |
ICML
2008
IEEE
14 years 8 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...
FGR
2008
IEEE
14 years 2 months ago
2008
IEEE
We examine in detail some properties of gesture recognition models which utilize a reduced number of parameters and lower algorithmic complexity compared to traditional hidden Mar...
JMLR
2008
13 years 7 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
CIARP
2009
Springer
14 years 2 months ago
2009
Springer
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
FLAIRS
2010
13 years 10 months ago
2010
A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the "...