879 search results - page 53 / 176 » Forecasting high-dimensional data |
NIPS
2003
14 years 11 months ago
2003
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projecti...
TNN
2008
14 years 9 months ago
2008
Abstract--Despite its great importance, there has been no general consensus on how to model the trends in time
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SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
MICCAI
2005
Springer
2005
Springer
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
15 years 10 months ago
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
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...