Results 71 to 80 of about 7,890 (182)
Modified Jensen-Bregman LogDet Divergence for Target Detection With Region Covariance Descriptor
IEEE AccessIn this study, we exploit the modified Jensen-Bregman LogDet (MJBLD) divergence to measure the dissimilarity between two region covariance descriptors extracted from an image, and design a target detection method based on this descriptor.
Xiqian Fan, Shaozhu Ye
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Information Geometric Approach on Most Informative Boolean Function Conjecture
Entropy, 2018 Let X n be a memoryless uniform Bernoulli source and Y n be the output of it through a binary symmetric channel. Courtade and Kumar conjectured that the Boolean function f : { 0 , 1 } n → { 0 , 1 } that maximizes the ...
Albert No
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IEEE Access, 2021 Research on clustering spatio-temporal data to extract mobility patterns requires further development, as most existing studies do not simultaneously integrate data along both spatial dimensions and temporal dimensions but instead focus on only one ...
Qian Liu +4 more
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Online Coresets for Clustering with Bregman Divergences
CoRR, 2020 Work in ...
Rachit Chhaya +3 more
openaire +2 more sources
, 2020 The Jensen-Shannon divergence is a renown bounded symmetrization of the unbounded Kullback-Leibler divergence which measures the total Kullback-Leibler divergence to the average mixture distribution. However the Jensen-Shannon divergence between Gaussian
Nielsen, Frank
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Distinctive neurophysiological correlates of sound onset and offset perception in humans
The Journal of Physiology, EarlyView.Abstract figure legend Electroencephalography (EEG) recordings were obtained from participants listening to successive pairs of 1‐2 s noises in a silent background (Study 1) or successive pairs 1‐2 s silent gaps in a noise background (Study 2). Participants heard the same stimuli in the context of either a duration discrimination task (identifying ...
Fatima Ali +3 more
wiley +1 more source
$k$-MLE: A fast algorithm for learning statistical mixture models
, 2012 We describe $k$-MLE, a fast and efficient local search algorithm for learning finite statistical mixtures of exponential families such as Gaussian mixture models.
Nielsen, Frank
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On MAP Estimates and Source Conditions for Drift Identification in SDEs
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT We consider the inverse problem of identifying the drift in an stochastic differential equation (SDE) from n$n$ observations of its solution at M+1$M+1$ distinct time points. We derive a corresponding maximum a posteriori (MAP) estimate, we prove differentiability properties as well as a so‐called tangential cone condition for the forward ...
Daniel Tenbrinck +3 more
wiley +1 more source
Binary Classification with a Pseudo Exponential Model and Its Application for Multi-Task Learning
Entropy, 2015 In this paper, we investigate the basic properties of binary classification with a pseudo model based on the Itakura–Saito distance and reveal that the Itakura–Saito distance is a unique appropriate measure for estimation with the pseudo model in the ...
Takashi Takenouchi +2 more
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British Journal of Clinical Psychology, Volume 65, Issue 2, Page 671-688, June 2026.Abstract Objectives A cohesive sense of self depends on intact autobiographical memory, both of which are impaired in dissociative disorders. Maladaptive daydreaming (MD), a recently proposed dissociative condition, involves excessive immersion in fantastical inner worlds, often at the expense of real‐life engagement, leading to distress and functional
Ori Meidan, Nirit Soffer‐Dudek
wiley +1 more source