113 search results - page 12 / 23 » Linear and Non-Linear Model for Statistical Localization of ... |
ICAPR
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In this paper, we deal with the problem of partially observed objects. These objects are defined by a set of points and their shape variations are represented by a statis...
FGR
2008
IEEE
14 years 1 months ago
2008
IEEE
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Decision algorithms are developed that use periods of intracranial non-seizure (interictal) EEG to localize epileptogenic networks. Depth and surface recordings are considered fro...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...