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» Applying Neighborhood Consistency for Fast Clustering and Ke...
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CVPR
2005
IEEE
14 years 7 months ago
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
Kai Zhang, Ming Tang, James T. Kwok
EGITALY
2006
13 years 6 months ago
3D Data Segmentation Using a Non-Parametric Density Estimation Approach
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
Umberto Castellani, Marco Cristani, Vittorio Murin...
HAPTICS
2002
IEEE
13 years 10 months ago
Six-Degree-of-Freedom Haptic Display Using Localized Contact Computations
: We present a six-degree-of-freedom haptic rendering algorithm using localized contact computations. It takes advantage of high motion coherence due to fast force update and spati...
Young J. Kim, Miguel A. Otaduy, Ming C. Lin, Dines...