TY - JOUR
T1 - Geometry and statistics
T2 - manifolds and stratified spaces
AU - Feragen, Aasa
AU - Nielsen, Mads
AU - Jensen, Eva Bjørn Vedel
AU - Plessis, Andrew du
AU - Lauze, Francois Bernard
PY - 2014
Y1 - 2014
N2 - Manifolds and stratified spaces are large families of nonlinear geometric spaces used for mathematical modeling of real data. Standard operations such as interpolation, averaging, principal components or hypothesis testing are no longer straightforward or even necessarily well defined when data is modeled in such spaces. Shapes are classical examples of objects whose variation exhibits nonlinear behavior. Stratified spaces lend themselves well to modeling data with variable topology, such as weighted trees or graphs.
AB - Manifolds and stratified spaces are large families of nonlinear geometric spaces used for mathematical modeling of real data. Standard operations such as interpolation, averaging, principal components or hypothesis testing are no longer straightforward or even necessarily well defined when data is modeled in such spaces. Shapes are classical examples of objects whose variation exhibits nonlinear behavior. Stratified spaces lend themselves well to modeling data with variable topology, such as weighted trees or graphs.
U2 - 10.1007/s10851-014-0504-5
DO - 10.1007/s10851-014-0504-5
M3 - Editorial
SN - 0924-9907
VL - 50
SP - 1
EP - 4
JO - Journal of Mathematical Imaging and Vision
JF - Journal of Mathematical Imaging and Vision
IS - 1
ER -