137 search results - page 3 / 28 » Ordinal Embedding: Approximation Algorithms and Dimensionali... |
PAMI
2007
14 years 9 months ago
2007
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Spectral methods for embedding graphs and immersing data manifolds in low-dimensional speaces are notoriously unstable due to insufficient and/or numberically ill-conditioned con...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
CIKM
2003
Springer
15 years 3 months ago
2003
Springer
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...