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View all- Sitenko DBoll BSchnörr C(2021)Assignment Flow for Order-Constrained OCT SegmentationInternational Journal of Computer Vision10.1007/s11263-021-01520-5129:11(3088-3118)Online publication date: 1-Nov-2021
Compared with supervised learning for feature selection, it is much more difficult to select the discriminative features in unsupervised learning due to the lack of label information. Traditional unsupervised feature selection algorithms usually select ...
The problem of multilabel classification has attracted great interest in the last decade, where each instance can be assigned with a set of multiple class labels simultaneously. It has a wide variety of real-world applications, e.g., automatic image ...
This paper extends the recently introduced assignment flow approach for supervised image labeling to unsupervised scenarios where no labels are given. The resulting self-assignment flow takes a pairwise data affinity matrix as input data and maximizes the ...
Kluwer Academic Publishers
United States
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