Entropy maximization

Known as: Maximization 
An entropy maximization problem is a convex optimization problem of the form maximize subject to where is the optimization variable, and are problem… (More)
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Papers overview

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Review
2017
Review
2017
As we make progress toward the 5G of wireless networks, the bit-per-joule energy efficiency (EE) becomes an important design… (More)
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2010
2010
Cardinality estimation is the problem of estimating the number of tuples returned by a query; it is a fundamentally important… (More)
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Highly Cited
2009
Highly Cited
2009
When fuzzy IF-THEN rules initially extracted from data have not a satisfying performance, we consider that the rules require… (More)
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Highly Cited
2009
Highly Cited
2009
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the… (More)
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2009
2009
We propose a framework in which query sizes can be estimated from arbitrary statistical assertions on the data. In its most… (More)
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Highly Cited
2008
Highly Cited
2008
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human… (More)
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2008
2008
Applying ideas of statistical mechanics in ecology have recently received quite some attention. The entropy maximization (EM… (More)
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2003
2003
Maximum Likelihood (ML) estimation is extensively used for estimating emission densities from clumped and incomplete nzeasurement… (More)
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Highly Cited
1997
Highly Cited
1997
A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information… (More)
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Highly Cited
1992
Highly Cited
1992
Abstraet--Thresholding is an important form of image segmentation and is a first step in the processing of images for many… (More)
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