Results 31 to 40 of about 15,770,233 (254)
Quadratic Mutual Information Feature Selection
Entropy, 2017 We propose a novel feature selection method based on quadratic mutual information which has its roots in Cauchy–Schwarz divergence and Renyi entropy. The method uses the direct estimation of quadratic mutual information from data samples using Gaussian ...
Davor Sluga, Uroš Lotrič
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Mutual information superadditivity and unitarity bounds
Journal of High Energy Physics, 2021 We derive the property of strong superadditivity of mutual information arising from the Markov property of the vacuum state in a conformal field theory and strong subadditivity of entanglement entropy. We show this inequality encodes unitarity bounds for
Horacio Casini +2 more
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Alignment by maximization of mutual information [PDF]
Proceedings of IEEE International Conference on Computer Vision, 1997 A new information-theoretic approach is presented for finding the pose of an object in an image. The technique does not require information about the surface properties of the object, besides its shape, and is robust with respect to variations of illumination. In our derivation few assumptions are made about the nature of the imaging process.
Paul A. Viola, William M. Wells III
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Gait feature subset selection by mutual information [PDF]
, 2007 Feature selection is an important pre-processing step for pattern recognition. It can discard irrelevant and redundant information that may not only affect a classifier’s performance, but also tell against system’s efficiency.
Mark S. Nixon +5 more
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Estimating Information Processing of Human Fast Continuous Tapping from Trajectories
Entropy, 2022 Fitts studied the problem of information capacity and transfer in the speed–accuracy motor paradigm using a theoretical approach developed from Shannon and Weaver’s information theory.
Hiroki Murakami, Norimasa Yamada
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On the Calculation of Mutual Information [PDF]
SIAM Journal on Applied Mathematics, 1970 Abstract : Calculating the amount of information about a random function contained in another random function has important uses in communication theory. An expression for the mutual information for continuous time random processes has been given by Gelfand and Yaglom, Chiang, and Perez by generalizing Shannon's result in a natural way.
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A Simple Method for Estimating Term Mutual Information [PDF]
, 2012 The ability to formally analyze and automatically measure statistical dependence of terms is a core problem in many areas of science. One of the commonly used tools for this is the expected mutual information (MI) measure.
McCluskey, Thomas L., Cai, Di
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Mutual Information: A way to quantify correlations
Revista Brasileira de Ensino de Física, 2022 Within the framework of Information Theory, the existence of correlations between two random variables means that we can obtain information about one of them, just by measuring or observing the other random variable.
Marcelo Tisoc, Jhosep Victorino Beltrán
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Mutual information and the F-theorem [PDF]
Journal of High Energy Physics, 2015 80 pages, 16 ...
Horacio Casini +3 more
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Relationship between Information Scrambling and Quantum Darwinism
Entropy, 2023 A quantum system interacting with a multipartite environment can induce redundant encoding of the information of a system into the environment, which is the essence of quantum Darwinism.
Feng Tian +4 more
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