123 search results - page 16 / 25 » A sampling theory for compact sets in Euclidean space |
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
BMCBI
2007
13 years 8 months ago
2007
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
CMSB
2009
Springer
14 years 3 months ago
2009
Springer
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
COMPGEOM
2010
ACM
14 years 1 months ago
2010
ACM
We consider the problem of reconstructing a compact 3manifold (with boundary) embedded in R3 from its crosssections with a given set of cutting planes having arbitrary orientation...
NIPS
2007
13 years 10 months ago
2007
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....