397 search results - page 33 / 80 » Local embeddings of metric spaces |
CVIU
2011
13 years 7 days ago
2011
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
SIGMETRICS
2006
ACM
14 years 2 months ago
2006
ACM
In this paper, we investigate the suitability of embedding Internet hosts into a Euclidean space given their pairwise distances (as measured by round-trip time). Using the classic...
DAGM
2011
Springer
12 years 8 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
ACCV
2009
Springer
14 years 3 months ago
2009
Springer
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
RSP
1998
IEEE
14 years 29 days ago
1998
IEEE
One of the major differences in partitioning for codesign is in the way the communication cost is evaluated. Generally the size of the edge cut-set is used. When communication bet...