123 search results - page 13 / 25 » A sampling theory for compact sets in Euclidean space |
ICRA
2003
IEEE
14 years 23 days ago
2003
IEEE
— Given a set of affine varieties in ℜ3, i.e. planes, lines, and points, the problem tackled in this paper is that of finding all possible configurations for these varieties...
MICCAI
2000
Springer
13 years 11 months ago
2000
Springer
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
COMPGEOM
2010
ACM
13 years 11 months ago
2010
ACM
We give a provably correct algorithm to reconstruct a kdimensional manifold embedded in d-dimensional Euclidean space. Input to our algorithm is a point sample coming from an unkn...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
BMCBI
2007
13 years 7 months ago
2007
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...