376 search results - page 5 / 76 » Supervised dimensionality reduction using mixture models |
126
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
We present a dynamic inference algorithm in a globally parameterized nonlinear manifold and demonstrate it on the problem of visual tracking. An appearance manifold is usually non...
143
Voted
JMLR
2010
15 years 1 months ago
2010
Nonlinear dimensionality reduction methods are often used to visualize high-dimensional data, although the existing methods have been designed for other related tasks such as mani...
132
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
130
click to vote
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
123
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...