32 search results - page 1 / 7 » Constrained Mixture Modeling of Intrinsically Low-Dimensiona... |
ICPR
2000
IEEE
14 years 3 months ago
2000
IEEE
In this paper we introduce a novel way of modeling distributions with a low latent dimensionality. Our method allows for a strict control of the properties of the mapping between ...
TMI
2008
13 years 11 months ago
2008
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
ICPR
2004
IEEE
15 years 7 days ago
2004
IEEE
Figure-ground discrimination is an important problem in computer vision. Previous work usually assumes that the color distribution of the figure can be described by a low dimensio...
NIPS
2001
14 years 16 days ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
NN
2006
Springer
13 years 11 months ago
2006
Springer
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...