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Benková, E., Ivanchenko, M., Friml, J., Shishkova, S., &; Dubrovsky, J. (2009). A morphogenetic trigger: Is there an emerging concept in plant developmental biology? Trends in Plant Science. Cell Press.https://doi.org/10.1016/j.tplants.2009.01.006 

Kumar, M. P., Kolmogorov, V., &; Torr, P. (2009). An analysis of convex relaxations for MAP estimation of discrete MRFs. Journal of Machine Learning Research. Microtome Publishing.

Vicente, S., Kolmogorov, V., &; Rother, C. (2009). Joint optimization of segmentation and appearance models (pp. 755–762). Presented at the ICCV: International Conference on Computer Vision, IEEE.https://doi.org/10.1109/ICCV.2009.5459287 

Kolmogorov, V., &; Shioura, A. (2009). New algorithms for convex cost tension problem with application to computer vision. Discrete Optimization. Elsevier.https://doi.org/10.1016/j.disopt.2009.04.006 

Engel, J., Schmalhorst, P. S., Dörk Bousset, T., Ferrières, V., &; Routier, F. (2009). A single UDP galactofuranose transporter is required for galactofuranosylation in Aspergillus fumigatus. Journal of Biological Chemistry. American Society for Biochemistry and Molecular Biology.https://doi.org/10.1074/jbc.M109.070219  

Chakraborty Tuhin, S., Goswami, S., &; Siddiqi, O. (2009). Sensory correlates of imaginal conditioning in Drosophila melanogaster. Journal of Neurogenetics. Informa Healthcare.https://doi.org/10.1080/01677060802491559  

Uhler, C. (2009). Mastitis in dairy production: Estimation of sensitivity, specificity and disease prevalence in the absence of a gold standard. Journal of Agricultural Biological and Environmental Statistics. Springer.https://doi.org/10.1198/jabes.2009.0005 

Schmalhorst, P. S. (2009). Biosynthesis of Galactofuranose Containing Glycans and Their Relevance for the Pathogenic Fungus Aspergillus fumigatus. Gottfried Wilhelm Leibniz Universität Hannover.

Bollenbach, M. T., &; Kishony, R. (2009). Quiet gene circuit more fragile than its noisy peer. Cell. Cell Press.https://doi.org/10.1016/j.cell.2009.10.005 

Remy, S., Csicsvari, J. L., &; Beck, H. (2009). Activity-dependent control of neuronal output by local and global dendritic spike attenuation. Neuron. Elsevier.https://doi.org/10.1016/j.neuron.2009.01.032 

Attali, D., Boissonnat, J., &; Edelsbrunner, H. (2009). Stability and computation of medial axes: a state-of-the-art report. In Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration (pp. 109–125). Springer.https://doi.org/10.1007/b106657_6 

Barton, N. H. (2009). Why sex and recombination? . In Cold Spring Harbor Symposia on Quantitative Biology (Vol. 74, pp. 187–195). Cold Spring Harbor Laboratory Press.https://doi.org/10.1101/sqb.2009.74.030 

Lampert, C., &; Blaschko, M. (2009). Structured prediction by joint kernel support estimation. Machine Learning. Springer.https://doi.org/10.1007/s10994-009-5111-0 

Dhillon, P., Nowozin, S., &; Lampert, C. (2009). Combining appearance and motion for human action classification in videos (pp. 22–29). Presented at the CVPR: Computer Vision and Pattern Recognition, IEEE.https://doi.org/10.1109/CVPRW.2009.5204237 

Lampert, C., Blaschko, M., &; Hofmann, T. (2009). Efficient subwindow search: A branch and bound framework for object localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE.https://doi.org/10.1109/TPAMI.2009.144 

Dhillon, P., Nowozin, S., &; Lampert, C. (2009). Combining appearance and motion for human action classification in videos (pp. 22–29). Presented at the CVPR: Computer Vision and Pattern Recognition, IEEE.https://doi.org/10.1109/CVPRW.2009.5204237 

Lampert, C. (2009). Kernel Methods in Computer Vision (Vol. 4). now publishers.https://doi.org/10.1561/0600000027 

Nowozin, S., &; Lampert, C. (2009). Global connectivity potentials for random field models (pp. 818–825). Presented at the CVPR: Computer Vision and Pattern Recognition, IEEE.https://doi.org/10.1109/CVPR.2009.5206567 

Lampert, C. (2009). Detecting objects in large image collections and videos by efficient subimage retrieval (pp. 987–994). Presented at the ICCV: International Conference on Computer Vision, IEEE.https://doi.org/10.1109/ICCV.2009.5459359