565 search results - page 108 / 113 » Denoising and recognition using hidden Markov models with ob... |
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...
FOCI
2007
IEEE
14 years 2 months ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
ESCIENCE
2006
IEEE
14 years 1 months ago
2006
IEEE
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a s...
DAGM
2010
Springer
13 years 5 months ago
2010
Springer
Digital in-line holography is a 3D microscopy technique which has gotten an increasing amount of attention over the last few years in the fields of microbiology, medicine and physi...
AVSS
2006
IEEE
14 years 1 months ago
2006
IEEE
Background modeling for dynamic scenes is an important problem in the context of real time video surveillance systems. Several nonparametric background models have been proposed t...