576 search results - page 7 / 116 » Structured metric learning for high dimensional problems |
SISAP
2009
IEEE
14 years 2 months ago
2009
IEEE
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
PCM
2001
Springer
13 years 12 months ago
2001
Springer
A practical method for creating a high dimensional index structure that adapts to the data distribution and scales well with the database size, is presented. Typical media descrip...
IPCO
1992
13 years 8 months ago
1992
In this paper we study enumeration problems for polytopes arising from combinatorial optimization problems. While these polytopes turn out to be quickly intractable for enumeration...
CGF
2011
12 years 11 months ago
2011
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...