Interactive image segmentation using probabilistic hypergraphs
Pattern Recognition
New algorithm for segmentation of images represented as hypergraph hexagonal-grid
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
News recommendation via hypergraph learning: encapsulation of user behavior and news content
Proceedings of the sixth ACM international conference on Web search and data mining
Exploring hypergraph-based semi-supervised ranking for query-oriented summarization
Information Sciences: an International Journal
Random walks in directed hypergraphs and application to semi-supervised image segmentation
Computer Vision and Image Understanding
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In this paper, we propose to use hypergraphs as the model for images and pose image segmentation as a machine learning problem in which some pixels (called seeds) are labeled as the objects and background. Using the seed pixels, our method predicts the labels for all unlabeled pixels. We present the relations of the proposed method to other hypergraph based learning techniques. We give an adaptive procedure for constructing image hypergraphs and achieve promising results on a real image dataset.