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ICPR
2010
IEEE
13 years 5 months ago
Shape Interpolation with Flattenings
This paper presents the binary flattenings of shapes, first as a connected operator suppressing particles or holes, second as an erosion in a particular lattice of shapes. Using t...
Fernand Meyer
FOCS
1992
IEEE
13 years 11 months ago
Reconstructing Algebraic Functions from Mixed Data
We consider a variant of the traditional task of explicitly reconstructing algebraic functions from black box representations. In the traditional setting for such problems, one is ...
Sigal Ar, Richard J. Lipton, Ronitt Rubinfeld, Mad...
ISSAC
2007
Springer
149views Mathematics» more  ISSAC 2007»
14 years 1 months ago
Computing numerically with functions instead of numbers
Symbolic computation with functions of a real variable suffers from combinatorial explosion of memory and computation time. The alternative chebfun system for such computations is...
Lloyd N. Trefethen
ML
2007
ACM
144views Machine Learning» more  ML 2007»
13 years 7 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
BMCBI
2010
145views more  BMCBI 2010»
13 years 7 months ago
Clustering metagenomic sequences with interpolated Markov models
Background: Sequencing of environmental DNA (often called metagenomics) has shown tremendous potential to uncover the vast number of unknown microbes that cannot be cultured and s...
David R. Kelley, Steven L. Salzberg