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» Euclidean Fitting Revisited
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ECML
2005
Springer
15 years 5 months ago
Fitting the Smallest Enclosing Bregman Ball
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
Richard Nock, Frank Nielsen
FLAIRS
2000
15 years 1 months ago
Partitioning Sets with Genetic Algorithms
We first revisit a problem in the literature of genetic algorithms: arranging numbers into groups whose summed weights are as nearly equal as possible. We provide a new genetic al...
William A. Greene
COMPGEOM
1997
ACM
15 years 4 months ago
Approximate Nearest Neighbor Queries Revisited
This paper proposes new methods to answer approximate nearest neighbor queries on a set of n points in d-dimensional Euclidean space. For any xed constant d, a data structure with...
Timothy M. Chan
TSMC
2002
119views more  TSMC 2002»
14 years 11 months ago
Approximation of n-dimensional data using spherical and ellipsoidal primitives
This paper discusses the problem of approximating data points in -dimensional Euclidean space using spherical and ellipsoidal surfaces. A closed form solution is provided for spher...
Giuseppe Carlo Calafiore
LOGCOM
1998
110views more  LOGCOM 1998»
14 years 11 months ago
leanTAP Revisited
A sequent calculus of a new sort is extracted from the Prolog program leanTAP. This calculus is sound and complete, even though it lacks almost all structural rules. Thinking of l...
Melvin Fitting