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96
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PAMI
1998
84views more  PAMI 1998»
15 years 2 days 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
92
Voted
ICPR
2002
IEEE
16 years 1 months ago
Scene Classification from Dense Disparity Maps in Indoor Environments
We present our approach for scene classification in dense disparity maps from a binocular stereo system. The classification result is used for tracking and navigation purposes. Th...
Darius Burschka, Gregory D. Hager
102
Voted
ICANN
1997
Springer
15 years 4 months ago
Topology Representing Networks for Intrinsic Dimensionality Estimation
Abstract. In this paper we compare two methods for intrinsic dimensionality (ID) estimation based on optimally topology preserving maps (OTPMs). The rst one is a direct approach, w...
Jörg Bruske, Gerald Sommer
ICRA
2000
IEEE
109views Robotics» more  ICRA 2000»
15 years 4 months ago
Computing the Sensory Uncertainty Field of a Vision-Based Localization Sensor
—Recently it has been recognized that robust motion planners should take into account the varying performance of localization sensors across the configuration space. Although a n...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
SMI
2005
IEEE
15 years 6 months ago
Curvature Maps for Local Shape Comparison
— The ability to identify similarities between shapes is important for applications such as medical diagnosis, object registration and alignment, and shape retrieval. In this pap...
Timothy Gatzke, Cindy Grimm, Michael Garland, Stev...