216 citations · 247 across the 2 of their papers we have counts for
5 papers
Leveraging 3D Information in Unsupervised Brain MRI Segmentation
Benjamin Lambert, Maxime Louis, Senan Doyle +3
Automatic segmentation of brain abnormalities is challenging, as they vary considerably from one pathology to another. Current methods are supervised and require numerous annotated…
Rigid and Articulated Point Registration with Expectation Conditional Maximization
Radu Horaud, Florence Forbes, Manuel Yguel +2
This paper addresses the issue of matching rigid and articulated shapes through probabilistic point registration. The problem is recast into a missing data framework where unknown…
Conjugate Mixture Models for Clustering Multimodal Data
Vasil Khalidov, Florence Forbes, Radu Horaud
The problem of multimodal clustering arises whenever the data are gathered with several physically different sensors. Observations from different modalities are not necessarily ali…
Approximate Bayesian computation via the energy statistic
Hien D. Nguyen, Julyan Arbel, Hongliang Lü +1
Approximate Bayesian computation (ABC) has become an essential part of the Bayesian toolbox for addressing problems in which the likelihood is prohibitively expensive or entirely u…
Mini-batch learning of exponential family finite mixture models
H D Nguyen, F Forbes, G J McLachlan
Mini-batch algorithms have become increasingly popular due to the requirement for solving optimization problems, based on large-scale data sets. Using an existing online expectatio…