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» Interval Computations in Computer Vision
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RC
2007
83views more  RC 2007»
15 years 5 months ago
Computing the Pessimism of Inclusion Functions
Abstract. “Computing the pessimism” means bounding the overestimation produced by an inclusion function. There are two important distinctions with classical error analysis. Fir...
Gilles Chabert, Luc Jaulin
FOCI
2007
IEEE
16 years 22 days ago
Why Intervals? Why Fuzzy Numbers? Towards a New Justification
The purpose of this paper is to present a new characterization of the set of all intervals (and of the corresponding set of fuzzy numbers). This characterization is based on sever...
Vladik Kreinovich
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
16 years 7 months ago
Efficient Continuous Skyline Computation
In a number of emerging streaming applications, the data values that are produced have an associated time interval for which they are valid. A useful computation over such streami...
Michael D. Morse, Jignesh M. Patel, William I. Gro...
PODS
2004
ACM
130views Database» more  PODS 2004»
16 years 6 months ago
Computational Complexity of Itemset Frequency Satisfiability
Computing frequent itemsets is one of the most prominent problems in data mining. We introduce a new, related problem, called FREQSAT: given some itemset-interval pairs, does ther...
Toon Calders
SIAMNUM
2010
106views more  SIAMNUM 2010»
15 years 1 months ago
Computing Sacker-Sell spectra in Discrete Time Dynamical Systems
In this paper we develop boundary value methods for detecting Sacker-Sell spectra in discrete time dynamical systems. The algorithms are advancements of earlier methods for comput...
Thorsten Hüls