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» The Complexity of Partition Functions
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CSDA
2007
99views more  CSDA 2007»
15 years 6 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
CVIU
2007
154views more  CVIU 2007»
15 years 6 months ago
Bayesian stereo matching
A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...
Li Cheng, Terry Caelli
IVC
2007
94views more  IVC 2007»
15 years 6 months ago
Vector quantization and fuzzy ranks for image reconstruction
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...
Stefano Rovetta, Francesco Masulli
JAT
2002
62views more  JAT 2002»
15 years 6 months ago
Coconvex Approximation
Let f C[-1, 1] change its convexity finitely many times, in the interval. We are interested in estimating the degree of approximation of f by polynomials which are coconvex with i...
Dany Leviatan, Igor A. Shevchuk
JAT
2010
63views more  JAT 2010»
15 years 5 months ago
Symmetric box-splines on the A*n lattice
Sampling and reconstruction of generic multivariate functions is more efficient on non-Cartesian root lattices, such as the BCC (Body-Centered Cubic) lattice, than on the Cartesia...
Minho Kim, Jörg Peters