779 search results - page 69 / 156 » Multi-Instance Dimensionality Reduction |
120
Voted
PR
2010
15 years 26 days ago
2010
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
144
Voted
PR
2011
14 years 5 months ago
2011
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
142
Voted
AAAI
2012
13 years 4 months ago
2012
Probabilistic relational PCA (PRPCA) can learn a projection matrix to perform dimensionality reduction for relational data. However, the results learned by PRPCA lack interpretabi...
125
Voted
ICML
2007
IEEE
16 years 3 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...
125
Voted
KDD
2001
ACM
16 years 2 months ago
2001
ACM
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...