782 search results - page 40 / 157 » Modelling Profiles with a Mixture of Gaussians |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
EMMCVPR
1999
Springer
14 years 7 days ago
1999
Springer
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
SBRN
1998
IEEE
14 years 6 days ago
1998
IEEE
In this paper we investigate alternative designs of a Radial Basis Function Network acting as classifier in a face recognition system. Input to the RBF network is the projections ...
NECO
1998
13 years 7 months ago
1998
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...