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Autonomous object modeling based on affordances for spatial organization of behavior.

, , and . ICDL-EPIROB, page 87-92. IEEE, (2014)

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Markov Random Fields for Improving 3D Mesh Analysis and Segmentation., and . 3DOR, page 25-32. Eurographics Association, (2008)Inference and parameter estimation on hierarchical belief networks for image segmentation., and . Neurocomputing, 73 (4-6): 563-569 (2010)Deep Learning : kann man Sprache aus dem Gehirn »auslesen«?. (February 2019)Applying oracles of on-demand accuracy in two-stage stochastic programming - A computational study., , , and . Eur. J. Oper. Res., 239 (2): 437-448 (2014)Learning to navigate efficiently and precisely in real environments., , , , , and . CoRR, (2024)Learning to detect, localize and recognize many text objects in document images from few examples., , and . Int. J. Document Anal. Recognit., 21 (3): 161-175 (2018)ICDAR 2003 robust reading competitions: entries, results, and future directions., , , , , , , , , and 8 other author(s). Int. J. Document Anal. Recognit., 7 (2-3): 105-122 (2005)Object count/area graphs for the evaluation of object detection and segmentation algorithms., and . Int. J. Document Anal. Recognit., 8 (4): 280-296 (2006)KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints, , , , , , , , , and 21 other author(s). (2020)cite arxiv:2007.15632Comment: 24 pages, 11 figures, 5 tables, submitted to A&A. This paper is part of the KiDS-1000 series of papers, accompanying Asgari et al. and Hildebrandt et al. appearing on the arXiv today, joining Joachimi et al. (arXiv:2007.01844) and Giblin et al. (arXiv:2007.01845). Online KiDS-1000 talks and seminars can be viewed at http://kids.strw.leidenuniv.nl/KiDS-1000.php.iWeaver: Towards 'Learning Style'-based e-Learning in Computer Science Education.. ACE, volume 20 of CRPIT, page 273-279. Australian Computer Society, (2003)