( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Learning terrain types with the Pitman-Yor process mixtures of Gaussians for a legged robot.

, , , и . IROS, стр. 3457-3463. IEEE, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Patrick Pfeffer

Optimiertes Design kombinatorischer Verbindungsbibliotheken durch genetische Algorithmen und deren Bewertung anhand wissensbasierter Protein-Ligand-Bindungsprofile. Uni Marburg, (2009)

Patrick Hansen

Entwicklung eines energetischen Sanierungsmodells für den europäischen Wohngebäudesektor unter dem Aspekt der Erstellung von Szenarien für Energie- und Co_1tn2-Einsparpotenziale bis 2030. Uni Siegen, (2009)

Patrick Verreet

Patrick Eitner

Patrick Unger

 

Другие публикации лиц с тем же именем

Learning terrain types with the Pitman-Yor process mixtures of Gaussians for a legged robot., , , и . IROS, стр. 3457-3463. IEEE, (2015)Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process., , и . AAAI, стр. 1774-1780. AAAI Press, (2014)Tree bark re-identification using a deep-learning feature descriptor., , и . CRV, стр. 25-32. IEEE, (2020)Task allocation learning in a multiagent environment: Application to the RoboCupRescue simulation., , , и . Multiagent Grid Syst., 6 (4): 293-314 (2010)Artificial tactile perception for surface identification using a triple axis accelerometer probe., , , и . ROSE, стр. 101-106. IEEE, (2011)Learning Gaussian Process Models from Uncertain Data., , и . ICONIP (1), том 5863 из Lecture Notes in Computer Science, стр. 433-440. Springer, (2009)An approximate inference with Gaussian process to latent functions from uncertain data., , и . Neurocomputing, 74 (11): 1945-1955 (2011)Tree bark re-identification using a deep-learning feature descriptor., , и . CoRR, (2019)The Indian Chefs Process, , , , , , , , и . (2020)Contrastive Maximum Mean Discrepancy for Unsupervised Domain Adaptation Applied to Large Scale 3D LiDAR Semantic Segmentation., , , и . BMVC Workshop, BMVA Press, (2023)