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Disambiguation of "Rodner, Erik"

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Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition.

, , , and . Mach. Vis. Appl., 24 (5): 1043-1053 (2013)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Erik Eppinger University of Stuttgart

Erik Hesselmeier University of Stuttgart

Dr. Erik Poloni University of Stuttgart

Erik Wimmer University of Stuttgart

Erik-Felix Tinsel University of Stuttgart

 

Other publications of authors with the same name

Divergence-Based One-Class Classification Using Gaussian Processes., , , and . BMVC, page 1-11. BMVA Press, (2012)Interactive adaptation of real-time object detectors., , , , and . ICRA, page 1282-1289. IEEE, (2014)Fine-grained classification of identity document types with only one example., , and . MVA, page 126-129. IEEE, (2015)Approximations of Gaussian Process Uncertainties for Visual Recognition Problems., , , and . SCIA, volume 7944 of Lecture Notes in Computer Science, page 182-194. Springer, (2013)Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features., , and . Dyn3D, volume 5742 of Lecture Notes in Computer Science, page 96-109. Springer, (2009)Learning with Few Examples by Transferring Feature Relevance., and . DAGM-Symposium, volume 5748 of Lecture Notes in Computer Science, page 252-261. Springer, (2009)Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes., , , and . GCPR, volume 8142 of Lecture Notes in Computer Science, page 282-291. Springer, (2013)Large-Scale Active Learning with Approximations of Expected Model Output Changes., , , , and . GCPR, volume 9796 of Lecture Notes in Computer Science, page 179-191. Springer, (2016)Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels., , , and . ACCV (2), volume 7725 of Lecture Notes in Computer Science, page 511-524. Springer, (2012)Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152)., , , , and . Dagstuhl Reports, 5 (4): 18-55 (2015)