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» Quantitative Models and Implicit Complexity
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SCFBM
2008
119views more  SCFBM 2008»
13 years 9 months ago
Boolean network simulations for life scientists
Modern life sciences research increasingly relies on computational solutions, from large scale data analyses to theoretical modeling. Within the theoretical models Boolean network...
István Albert, Juilee Thakar, Song Li, Ranr...
BMCBI
2010
114views more  BMCBI 2010»
13 years 10 months ago
Detecting variants with Metabolic Design, a new software tool to design probes for explorative functional DNA microarray develop
Background: Microorganisms display vast diversity, and each one has its own set of genes, cell components and metabolic reactions. To assess their huge unexploited metabolic poten...
Sébastien Terrat, Eric Peyretaillade, Olivi...
CVPR
2010
IEEE
14 years 3 months ago
Face Recognition Based on Image Sets
We introduce a novel method for face recognition from image sets. In our setting each test and training example is a set of images of an individual’s face, not just a single ima...
Hakan Cevikalp, Bill Triggs
VISSYM
2007
14 years 10 days ago
Model-free Surface Visualization of Vascular Trees
Expressive and efficient visualizations of complex vascular structures are essential for medical applications, such as diagnosis and therapy planning. A variety of techniques has ...
Christian Schumann, Steffen Oeltze, Ragnar Bade, B...
ICIP
2010
IEEE
13 years 8 months ago
Image partitioning with kernel mapping and graph cuts
A novel multiregion graph cut image partitioning method combined with kernel mapping is presented. A kernel function transforms implicitly the image data into data of a higher dim...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed