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» Interaction graphs: Additives
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CVPR
2008
IEEE
16 years 1 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
MICCAI
2000
Springer
15 years 3 months ago
Interactive Organ Segmentation Using Graph Cuts
Abstract. An N-dimensional image is divided into "object" and "background" segments using a graph cut approach. A graph is formed by connecting all pairs of nei...
Yuri Boykov, Marie-Pierre Jolly
TCBB
2010
144views more  TCBB 2010»
14 years 6 months ago
Querying Graphs in Protein-Protein Interactions Networks Using Feedback Vertex Set
Recent techniques increase rapidly the amount of our knowledge on interactions between proteins. The interpretation of these new information depends on our ability to retrieve kno...
Guillaume Blin, Florian Sikora, Stéphane Vi...
BIBM
2007
IEEE
135views Bioinformatics» more  BIBM 2007»
15 years 6 months ago
Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...
Xin Li, Zhu Zhang, Hsinchun Chen, Jiexun Li
FSTTCS
1994
Springer
15 years 3 months ago
On the Interactive Complexity of Graph Reliability
We give an interactive protocol for s-t RELIABILITY, the well known reliability problem on graphs. Our protocol shows that if IP(f(n)) denotes the class of languages whose interac...
Jean Marc Couveignes, Juan Francisco Diaz-Frias, M...