43 search results - page 3 / 9 » An Unsupervised Gaussian Mixture Classification Mechanism Ba... |
BMEI
2009
IEEE
13 years 7 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
ATAL
2007
Springer
13 years 10 months ago
2007
Springer
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
ECCV
2008
Springer
14 years 8 months ago
2008
Springer
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
MLDM
2005
Springer
13 years 12 months ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...