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HIPC
2007
Springer
16 years 18 days ago
Accelerating Large Graph Algorithms on the GPU Using CUDA
Abstract. Large graphs involving millions of vertices are common in many practical applications and are challenging to process. Practical-time implementations using high-end comput...
Pawan Harish, P. J. Narayanan
SEMWEB
2007
Springer
16 years 17 days ago
Mutual Contextualization in Tripartite Graphs of Folksonomies
The use of tags to describe Web resources in a collaborative manner has experienced rising popularity among Web users in recent years. The product of such activity is given the nam...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
EMNLP
2010
15 years 4 months ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
ICIP
2006
IEEE
16 years 8 months ago
Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts
We present a semi-automatic segmentation technique of the anatomical structures of the brain: cerebrum, cerebellum, and brain stem. The method uses graph cuts segmentation with an...
Huy-Nam Doan, Gregory G. Slabaugh, Gozde B. Unal, ...
ICIP
2008
IEEE
16 years 27 days ago
Multi-polarity text segmentation using graph theory
Text segmentation, or named text binarization, is usually an essential step for text information extraction from images and videos. However, most existing text segmentation method...
Jia Li, YongHong Tian, Tiejun Huang, Wen Gao