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PAMI
1998
84views more  PAMI 1998»
13 years 10 months ago
Intrinsic Dimensionality Estimation With Optimally Topology Preserving Maps
A new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is to rst extract a low-d...
Jörg Bruske, Gerald Sommer
PAMI
1998
116views more  PAMI 1998»
13 years 10 months ago
Scale-Space Derived From B-Splines
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
Yu-Ping Wang, Seng Luan Lee
PAMI
2002
114views more  PAMI 2002»
13 years 10 months ago
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
Baback Moghaddam
PAMI
2002
150views more  PAMI 2002»
13 years 10 months ago
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that e...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
RC
1998
82views more  RC 1998»
13 years 10 months ago
A Note on Epsilon-Inflation
Abstract. The epsilon-inflation proved to be useful and necessary in many verification algorithms. Different definitions of an epsilon-inflation are possible, depending on the...
Siegfried M. Rump
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