23 search results - page 1 / 5 » Parsimonious reduction of Gaussian mixture models with a var... |
PR
2010
13 years 3 months ago
2010
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
ICDAR
2009
IEEE
13 years 2 months ago
2009
IEEE
Text line segmentation in unconstrained handwritten documents remains a challenge because handwritten text lines are multi-skewed and not obviously separated. This paper presents ...
PAMI
2008
13 years 4 months ago
2008
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
INTERSPEECH
2010
12 years 11 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...