Labs in the Heidelberg area make leading contributions to the theory and practice of machine learning, pattern recognition and artificial intelligence. Below is a summary of pertinent courses and activities in the area. Please follow the links to learn more about contents and prerequisites. Enjoy! ![Logos](/sites/default/files/node/images/513154892/logos_trans_neu.png) #
J. Yu, Z. Lin, J. Yang, X. Shen, X. Lu, и T. Huang. (2018)cite arxiv:1801.07892Comment: Accepted in CVPR 2018; add CelebA-HQ results; open sourced; interactive demo available: http://jhyu.me/demo.
H. Uzunova, M. Wilms, H. Handels, и J. Ehrhardt. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, стр. 223--231. Cham, Springer International Publishing, (2017)
D. Paulus, T. Dickscheid, и K. Berg. Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), стр. 147-152. (июля 2005)
T. Läbe, T. Dickscheid, и W. Förstner. 21st Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), стр. 37--42 Part B3b-1. Beijing, China, (2008)
T. Dickscheid, T. Läbe, и W. Förstner. 21st Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), стр. 7--12, Part B3a. Beijing, China, (2008)