Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Julian Zilly"'
Publikováno v:
Computerized Medical Imaging and Graphics. 55:28-41
We present a novel method to segment retinal images using ensemble learning based convolutional neural network (CNN) architectures. An entropy sampling technique is used to select informative points thus reducing computational complexity while perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4baca5cf9561b5ca836be19c9b4125c6
https://doi.org/10.1016/j.compmedimag.2016.07.012
https://doi.org/10.1016/j.compmedimag.2016.07.012
Publikováno v:
ITSC
In a mobility-on-demand system, travel requests are handled by a fleet of shared vehicles in an on-demand fashion. An important factor that determines the operational efficiency and service level of such a mobility-on-demand system is its operational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431a4ae7aa1f1e1e2ca8b27ff5f3bee2
https://doi.org/10.1109/itsc.2019.8917533
https://doi.org/10.1109/itsc.2019.8917533
Publikováno v:
2019 International Conference on Robotics and Automation (ICRA)
2019 International Conference on Robotics and Automation (ICRA)
ISBN:978-1-5386-6027-0
ISBN:978-1-5386-6026-3
ISBN:978-1-5386-8176-3
ISBN:978-1-5386-6027-0
ISBN:978-1-5386-6026-3
ISBN:978-1-5386-8176-3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a21c8bed950b59e22eab83f37baec60a
https://doi.org/10.1109/icra.2019.8794336
https://doi.org/10.1109/icra.2019.8794336
Autor:
A. Kirsten Bowser, Jacopo Tani, Matthew R. Walter, Breandan Considine, Andrea Censi, Ruslan Hristov, Gianmarco Bernasconi, Andrea F. Daniele, Julian Zilly, Liam Paull, Emilio Frazzoli, Claudio Ruch, Florian Golemo, Bhairav Mehta, Manfred Diaz, Jan Hakenberg, Sunil Mallya
Publikováno v:
The Springer Series on Challenges in Machine Learning
The NeurIPS '18 Competition. From Machine Learning to Intelligent Conversations
The NeurIPS '18 Competition ISBN: 9783030291341
The NeurIPS '18 Competition. From Machine Learning to Intelligent Conversations
The NeurIPS '18 Competition ISBN: 9783030291341
Despite recent breakthroughs, the ability of deep learning and reinforcement learning to outperform traditional approaches to control physically embodied robotic agents remains largely unproven. To help bridge this gap, we present the “AI Driving O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41fc569059db2d78589eea957d5cff7b
http://arxiv.org/abs/1903.02503
http://arxiv.org/abs/1903.02503
Publikováno v:
arXiv
ITSC
ITSC
We present a new type of coordination mechanism among multiple agents for the allocation of a finite resource, such as the allocation of time slots for passing an intersection. We consider the setting where we associate one counter to each agent, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d745cd35876e35ece2f8904f35c6fa91
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783319248875
MLMI
MLMI
We propose a novel convolutional neural network (CNN) based method for optic cup and disc segmentation. To reduce computational complexity, an entropy based sampling technique is introduced that gives superior results over uniform sampling. Filters a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcb2fc1d5713b1c02b090c220648fcdf
https://doi.org/10.17077/omia.1039
https://doi.org/10.17077/omia.1039