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Information Theoretical Approach to Attention in Geomagnetic Storm Forecasting: a Tutorial

Related publications (67)

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Impact of Sample Sizes on Information Theoretic Measures for Audio-Visual Signal Processing

Jean-Philippe Thiran, Ninoslav Marina, Ivana Arsic de Heras Ciechomska

In this paper we aim to explore what is the most appropriate number of data samples needed when measuring the temporal correspondence between a chosen set of video and audio cues in a given audio-visual sequence. Presently the optimal model that connects s ...

IEEE2005

On the interaction of data representation and routing in sensor networks

Martin Vetterli, Razvan Cristescu

We consider data gathering by a network with a sink node and a tree communication structure, where the goal is to minimize the total transmission cost of transporting the information, collected by the nodes, to the sink node. This problem requires a joint ...

IEEE2005

Fingerprinting Agent-Environment Interaction via Information Theory

In this paper, we investigate by means of statistical and information-theoretic measures, to what extent sensory-motor coordinated activity can generate and structure information in the sensory channels of a simulated agent interacting with its surrounding ...

2004

Conditional Gaussian Mixtures

I show how conditional Gaussians, whose means are conditioned by a random variable, can be estimated and their likelihoods computed. This is based upon how regular Gaussians have their own parameters and likelihood computed. After explaining how to estimat ...

IDIAP2003

Stochastic Sampling for Computing the Mutual Information of Two Images

Michaël Unser, Philippe Thévenaz

Mutual information is an attractive registration criterion because it provides a meaningful comparison of images that represent different physical properties. In this paper, we review the shortcomings of three published methods for its computation. We iden ...

NuHAG2003

Combinatorial Approach for Data Binarization

This paper addresses the problem of transforming arbitrary data into binary data. This is intended as preprocessing for a supervised classification task. As a binary mapping compresses the total information of the dataset, the goal here is to design such a ...

IDIAP1999

Combinatorial Approach for Data Binarization

Springer1999