637 search results - page 28 / 128 » Filtering with Approximate Predicates |
AAAI
2004
14 years 11 months ago
2004
Knapsack constraints are a key modeling structure in discrete optimization and form the core of many real-life problem formulations. Only recently, a cost-based filtering algorith...
148
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ICDE
2005
IEEE
15 years 11 months ago
2005
IEEE
The filtering of XML data is the basis of many complex applications. Lots of algorithms have been proposed to solve this problem[2, 3, 5, 6, 7, 8, 9, 11, 12, 13, 18]. One importan...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
ICIP
2005
IEEE
15 years 3 months ago
2005
IEEE
—Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...
108
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JCST
2008
14 years 9 months ago
2008
Detecting duplicates in data streams is an important problem that has a wide range of applications. In general, precisely detecting duplicates in an unbounded data stream is not fe...