34 search results - page 3 / 7 » Embedding metric spaces in their intrinsic dimension |
ASIAN
2004
Springer
13 years 10 months ago
2004
Springer
Designing custom solutions has been central to meeting a range of stringent and specialized needs of embedded computing, along such dimensions as physical size, power consumption, ...
ALENEX
2001
13 years 6 months ago
2001
Range searches in metric spaces can be very di cult if the space is \high dimensional", i.e. when the histogram of distances has a large mean and a small variance. The so-cal...
NIPS
1997
13 years 6 months ago
1997
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
DCG
2008
13 years 4 months ago
2008
Let S be the boundary of a convex polytope of dimension d + 1, or more generally let S be a convex polyhedral pseudomanifold. We prove that S has a polyhedral nonoverlapping unfold...
CSB
2005
IEEE
13 years 10 months ago
2005
IEEE
DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...