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TNN
2010
216views Management» more  TNN 2010»
14 years 4 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ICPR
2000
IEEE
15 years 10 months ago
On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
Mário A. T. Figueiredo
SIBGRAPI
2003
IEEE
15 years 3 months 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...
DCC
1993
IEEE
15 years 1 months ago
Minimizing Error and VLSI Complexity in the Multiplication-Free Approximation of Arithmetic Coding
Two new algorithms for performing arithmetic coding without employing multiplication are presented. The first algorithm, suitable for an alphabet of arbitrary size, reduces the wo...
Gennady Feygin, P. Glenn Gulak, Paul Chow
LATIN
2010
Springer
15 years 4 months ago
Kernelization through Tidying
Abstract. We introduce the NP-hard graph-based data clustering problem s-Plex Cluster Vertex Deletion, where the task is to delete at most k vertices from a graph so that the conne...
René van Bevern, Hannes Moser, Rolf Niederm...