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» Approximation Algorithms for Spreading Points
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NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 7 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
ISBI
2008
IEEE
14 years 8 months ago
An algorithm to map asymmetries of bilateral objects in point clouds
We present a method to automatically quantify the local asymmetries of bilateral structures in point clouds. The method relies on the robust computation of the approximate symmetr...
Benoît Combès, Robin Hennessy, John W...
SIBGRAPI
2003
IEEE
14 years 24 days ago
Moving Least Squares Multiresolution Surface Approximation
We describe a new method for surface reconstruction based on unorganized point clouds without normals. We also present a new algorithm for refining the inital triangulation. The o...
Boris Mederos, Luiz Velho, Luiz Henrique de Figuei...
CVPR
2011
IEEE
13 years 4 months ago
A Theory of Multi-perspective Defocusing
We present a novel theory for characterizing defocus blurs in multi-perspective cameras such as catadioptric mirrors. Our approach studies how multi-perspective ray geometry trans...
Yuanyuan Ding, Jingyi Yu
ICASSP
2008
IEEE
14 years 2 months ago
Approximation and resampling of tapped delay line channel models with guaranteed channel properties
In this paper, we present a novel framework for resampling and complexity reduction of tapped delay line channel models. In contrast to related algorithms in this field, our fram...
Christian Mehlführer, Markus Rupp