AIMC Topic: Information Theory

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Learning Domain-Independent Deep Representations by Mutual Information Minimization.

Computational intelligence and neuroscience Jun 16, 2019
Domain transfer learning aims to learn common data representations from a source domain and a target domain so that the source domain data can help the classification of the target domain. Conventional transfer representation learning imposes the dis...
Machine Learning Information Theory
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Integrated information in the thermodynamic limit.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2019
The capacity to integrate information is a prominent feature of biological, neural, and cognitive processes. Integrated Information Theory (IIT) provides mathematical tools for quantifying the level of integration in a system, but its computational c...
Neural Networks, Computer Thermodynamics Information Theory Humans
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f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.

Medical image analysis Jan 31, 2019
Obtaining expert labels in clinical imaging is difficult since exhaustive annotation is time-consuming. Furthermore, not all possibly relevant markers may be known and sufficiently well described a priori to even guide annotation. While supervised le...
Tomography, Optical Coherence Retina Diagnostic Techniques, Ophthalmological Algorithms Image Processing, Computer-Assisted Information Theory Humans Neural Networks, Computer
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Information flow reveals prediction limits in online social activity.

Nature human behaviour Jan 21, 2019
Modern society depends on the flow of information over online social networks, and users of popular platforms generate substantial behavioural data about themselves and their social ties. However, it remains unclear what fundamental limits exist when...
Machine Learning Humans Online Social Networking Language Social Behavior Social Media Information Theory
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Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning.

Computational intelligence and neuroscience Oct 17, 2018
This paper describes a new image generation algorithm based on generative adversarial network. With an information-theoretic extension to the autoencoder-based discriminator, this new algorithm is able to learn interpretable representations from the ...
Housing Information Theory Image Processing, Computer-Assisted Face Humans Machine Learning
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Information-theoretic decomposition of embodied and situated systems.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2018
The embodied and situated view of cognition stresses the importance of real-time and nonlinear bodily interaction with the environment for developing concepts and structuring knowledge. In this article, populations of robots controlled by an artifici...
Neural Networks, Computer Robotics Information Theory Learning Cognition
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Scale-Limited Lagrange Stability and Finite-Time Synchronization for Memristive Recurrent Neural Networks on Time Scales.

IEEE transactions on cybernetics Mar 10, 2017
The existed results of Lagrange stability and finite-time synchronization for memristive recurrent neural networks (MRNNs) are scale-free on time evolvement, and some restrictions appear naturally. In this paper, two novel scale-limited comparison pr...
Cybernetics Electrical Equipment and Supplies Information Theory Neural Networks, Computer Time Factors Models, Statistical
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Aging, frailty and complex networks.

Biogerontology Mar 2, 2017
When people age their mortality rate increases exponentially, following Gompertz's law. Even so, individuals do not die from old age. Instead, they accumulate age-related illnesses and conditions and so become increasingly vulnerable to death from va...
Models, Biological Stochastic Processes Information Theory Frail Elderly Cause of Death Age Factors Frailty Neural Networks, Computer Adolescent Humans Computer Simulation Aged, 80 and over Time Factors Middle Aged Young Adult Adult Child Aged Infant Aging Child, Preschool Health Status Severity of Illness Index
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Classification and Verification of Handwritten Signatures with Time Causal Information Theory Quantifiers.

PloS one Dec 1, 2016
We present a new approach for handwritten signature classification and verification based on descriptors stemming from time causal information theory. The proposal uses the Shannon entropy, the statistical complexity, and the Fisher information evalu...
Individuality Handwriting Humans Support Vector Machine Information Theory Biometry Pattern Recognition, Automated Software Entropy
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A global optimization approach to multi-polarity sentiment analysis.

PloS one Apr 24, 2015
Following the rapid development of social media, sentiment analysis has become an important social media mining technique. The performance of automatic sentiment analysis primarily depends on feature selection and sentiment classification. While info...
Data Interpretation, Statistical Support Vector Machine Humans Data Mining Information Theory Social Media Algorithms
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