496 search results - page 24 / 100 » Semi-Supervised Learning of Mixture Models |
150
Voted
IVC
2010
15 years 1 months ago
2010
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
122
Voted
KDD
2004
ACM
16 years 3 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
105
Voted
ACCV
2009
Springer
15 years 9 months ago
2009
Springer
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
149
Voted
ADMI
2010
Springer
15 years 4 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...
153
Voted
TIP
2002
15 years 2 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...