Total correlation

Known as: Multi-information, Multiinformation, Multivariate constraint 
In probability theory and in particular in information theory, total correlation (Watanabe 1960) is one of several generalizations of the mutual… (More)
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Papers overview

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2018
2018
Advances in unsupervised learning enable reconstruction and generation of samples from complex distributions, but this success is… (More)
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2016
2016
We study a caching problem that resembles a lossy Gray-Wyner network: A source produces vector samples from a Gaussian… (More)
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Highly Cited
2015
Highly Cited
2015
2 Mutual information 3 Mutual information . . . . . . . . . . . . . . . . . 3 Multivariate mutual information . . . . . . . . . 4… (More)
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Highly Cited
2013
Highly Cited
2013
We introduce Deep Canonical Correlation Analysis (DCCA), a method to learn complex nonlinear transformations of two views of data… (More)
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2013
2013
Target detection is one of the important functions of radar systems. In this paper, we present a detection method using total… (More)
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2011
2011
In this paper a procedure is established for solving the Probabilistic Load Flow in an electrical power network, considering… (More)
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2011
2011
We have recently presented a framework for the information dynamics of distributed computation that locally identifies the… (More)
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2010
2010
Divisive normalization (DN) has been advocated as an effective nonlinear efficient coding transform for natural sensory signals… (More)
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2006
2006
Stochastic interdependence of a probablility distribution on a product space is measured by its Kullback-Leibler distance from… (More)
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Highly Cited
1998
Highly Cited
1998
notion that includes not only the PQ53 [During/After <TimeInterval>,] what {risks, rewards} would <InternationalAgent> face in… (More)
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