Publications associées à Unsupervised Connectivity-Based Thresholding Segmentation of Midsagittal Brain MR Images

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Robust Submodular Maximization: A Non-Uniform Partitioning Approach

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic, Slobodan Mitrovic

We study the problem of maximizing a monotone submodular function subject to a cardinality constraint

k

, with the added twist that a number of items

\tau

from the returned set may be removed. We focus on the worst-case setting considered in Orlin et al ...

2017

Unsupervised Connectivity-Based Thresholding Segmentation of Midsagittal Brain MR Images

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Monogenic Filtering Based Automatic Defect Detection from a Single Fringe Pattern

Geometry in active learning for binary and multi-class image segmentation

Variational Methods for Human Modeling

Robust Submodular Maximization: A Non-Uniform Partitioning Approach

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Decentralized consensus optimization with asynchrony and delays

Target-based fiber assignment for large survey spectrographs

Efficient greedy algorithms for high-dimensional parameter spaces with applications to empirical interpolation and reduced basis methods

Robust image reconstruction from multi-view measurements

Monogenic Filtering Based Automatic Defect Detection from a Single Fringe Pattern

Geometry in active learning for binary and multi-class image segmentation

Variational Methods for Human Modeling

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Decentralized consensus optimization with asynchrony and delays

Robust image reconstruction from multi-view measurements

Robust Submodular Maximization: A Non-Uniform Partitioning Approach

Efficient greedy algorithms for high-dimensional parameter spaces with applications to empirical interpolation and reduced basis methods

Target-based fiber assignment for large survey spectrographs