output
20062026
most citedA review: Deep learning for medical image segmentation using multi-modality fusion

677 citations

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Showing 2016 · stat.MLShow all

3 papers · 2 filters

stat.ML2016★ 1 cited

Maximum Correntropy Unscented Filter

Xi Liu, Badong Chen, Bin Xu +2

The unscented transformation (UT) is an efficient method to solve the state estimation problem for a non-linear dynamic system, utilizing a derivative-free higher-order approximati…

stat.ML2016★ 91 cited

Wasserstein Discriminant Analysis

Rémi Flamary, Marco Cuturi, Nicolas Courty +1

Wasserstein Discriminant Analysis (WDA) is a new supervised method that can improve classification of high-dimensional data by computing a suitable linear map onto a lower dimensio…

stat.ML2016★ 28 cited

Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing

Fei Zhu, Abderrahim Halimi, Paul Honeine +2

In hyperspectral images, some spectral bands suffer from low signal-to-noise ratio due to noisy acquisition and atmospheric effects, thus requiring robust techniques for the unmixi…