102 search results - page 5 / 21 » Efficiently Learning Mixtures of Two Gaussians |
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
113
click to vote
ISNN
2004
Springer
15 years 2 months ago
2004
Springer
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
104
Voted
ADMI
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
ICPR
2006
IEEE
15 years 10 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...
NIPS
1994
14 years 11 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...