43 search results - page 3 / 9 » Dimensionality reduction of electropalatographic data using ... |
80
Voted
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
120
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BMCBI
2011
14 years 1 months ago
2011
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
ECCV
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
75
Voted
ICPR
2000
IEEE
15 years 1 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 ...
110
Voted
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...