122 search results - page 6 / 25 » Online Learning of Gaussian Mixture Models - a Two-Level App... |
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Voted
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
ICML
2003
IEEE
15 years 11 months ago
2003
IEEE
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
CVPR
1999
IEEE
16 years 3 days ago
1999
IEEE
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
NECO
1998
14 years 9 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...