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CVPR
1999
IEEE
14 years 9 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
ICALP
2004
Springer
14 years 22 days ago
An Analog Characterization of Elementarily Computable Functions over the Real Numbers
Abstract We present an analog and machine-independent algebraic characterization of elementarily computable functions over the real numbers in the sense of recursive analysis: we p...
Olivier Bournez, Emmanuel Hainry
INFORMATICALT
2010
112views more  INFORMATICALT 2010»
13 years 4 months ago
Recursive Identification of Systems with Noninvertible Output Nonlinearities
Abstract. The paper deals with the recursive identification of dynamic systems having noninvertible output characteristics, which can be represented by the Wiener model. A special ...
Jozef Vörös
FOCS
1991
IEEE
13 years 11 months ago
Dynamic Three-Dimensional Linear Programming
We perform linear programming optimizations on the intersection of k polyhedra in R3 , represented by their outer recursive decompositions, in expected time O(k log k log n + √ ...
David Eppstein
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood