113 search results - page 12 / 23 » Linear and Non-Linear Model for Statistical Localization of ... |
110
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ICAPR
2005
Springer
15 years 7 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...
129
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FGR
2008
IEEE
15 years 8 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, ...
101
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ICML
2008
IEEE
16 years 2 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
14 years 5 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...
121
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ECCV
2002
Springer
16 years 3 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...