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ICML
2003
IEEE
14 years 8 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
ICCV
2009
IEEE
13 years 5 months ago
Image annotation using multi-label correlated Green's function
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...
Hua Wang, Heng Huang, Chris H. Q. Ding
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
14 years 16 days ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
COMSIS
2010
13 years 5 months ago
Multi-video summarization using complex graph clustering and mining
Multi-video summarization is a great theoretical and technical challenge due to the wider diversity of topics in multi-video than singlevideo as well as the multi-modality nature o...
Jian Shao, Dongming Jiang, Mengru Wang, Hong Chen,...
ISBI
2011
IEEE
12 years 11 months ago
Segmentation of anatomical branching structures based on texture features and graph cut
Segmentation of tree-like structure within medical imaging modalities, such as x-ray, MRI, ultrasound, etc., is an important step for analyzing branching patterns involved in many...
Tatyana Nuzhnaya, Erkang Cheng, Haibin Ling, Despi...