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09/28/2022
Variational Bayes for robust radar single object tracking
We address object tracking by radar and the robustness of the current st...
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09/02/2020
Online system identification in a Duffing oscillator by free energy minimisation
Online system identification is the estimation of parameters of a dynami...
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02/27/2020
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity
In a broad range of fields it may be desirable to reuse a supervised cla...
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03/11/2019
A cross-center smoothness prior for variational Bayesian brain tissue segmentation
Suppose one is faced with the challenge of tissue segmentation in MR ima...
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01/16/2019
A review of single-source unsupervised domain adaptation
Domain adaptation has become a prominent problem setting in machine lear...
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12/31/2018
An introduction to domain adaptation and transfer learning
In machine learning, if the training data is an unbiased sample of an un...
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10/17/2018
Learning an MR acquisition-invariant representation using Siamese neural networks
Generalization of voxelwise classifiers is hampered by differences betwe...
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06/21/2018
Target Contrastive Pessimistic Discriminant Analysis
Domain-adaptive classifiers learn from a source domain and aim to genera...
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04/19/2018
Effects of sampling skewness of the importance-weighted risk estimator on model selection
Importance-weighting is a popular and well-researched technique for deal...
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09/22/2017
MR Acquisition-Invariant Representation Learning
Voxelwise classification is a popular and effective method for tissue qu...
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06/25/2017
Target contrastive pessimistic risk for robust domain adaptation
In domain adaptation, classifiers with information from a source domain ...
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07/31/2016
On Regularization Parameter Estimation under Covariate Shift
This paper identifies a problem with the usual procedure for L2-regulari...
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12/15/2015