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Kullback–Leibler divergence

Known as: Kl-divergence, KL-distance, Kullback divergence 
In probability theory and information theory, the Kullback–Leibler divergence, also called discrimination information (the name preferred by Kullback… 
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Related topics

Related topics

50 relations
AutoencoderBayesian information criterionBiclusteringBoltzmann machine

Papers overview

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2013
2013
Computing the Kullback-Leibler Divergence between two Weibull Distributions
We derive a closed form solution for the Kullback-Leibler divergence between two Weibull distributions. These notes are meant as… 
2013
2013
Combination of Kullback–Leibler divergence and Manhattan distance measures to detect salient objects
Salient object detection is a computer vision technique that filters out redundant visual information and considers potentially… 
2011
2011
Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition
One of the main challenge in non-native speech recognition is how to handle acoustic variability present in multi-accented non… 
2010
2010
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic… 
2008
2008
Image retrieval via Kullback-Leibler divergence of patches of multiscale coefficients in the KNN framework
In this paper, we define a similarity measure between images in the context of (indexing and) retrieval. We use the Kullback… 
2008
2008
Accelerated Monte Carlo for Kullback-Leibler divergence between Gaussian mixture models
Kullback Leibler (KL) divergence is widely used as a measure of dissimilarity between two probability distributions; however, the… 
2007
2007
Human Promoter Recognition using Kullback-Leibler Divergence
Human gene expression can be regulated at four levels: differential gene transcription, selective nuclear RNA (nRNA) processing… 
2007
2007
Variational Kullback-Leibler divergence for Hidden Markov models
Divergence measures are widely used tools in statistics and pattern recognition. The Kullback-Leibler (KL) divergence between two… 
Highly Cited
1998
Highly Cited
1998
Localization of a wheeled mobile robot by sensor data fusion based on a fuzzy logic adapted Kalman filter
Highly Cited
1995
Highly Cited
1995
Saliency Maps and Attention Selection in Scale and Spatial Coordinates: An Information Theoretic Approach
Information measures with respect to spatial locations and scales of objects in an image are important to image processing and… 
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