Zobrazeno 1 - 10
of 397
pro vyhledávání: '"KRANZLMÜLLER, DIETER"'
Autor:
Müller, Simone, Kranzlmüller, Dieter
Machine perception is an important prerequisite for safe interaction and locomotion in dynamic environments. This requires not only the timely perception of surrounding geometries and distances but also the ability to react to changing situations thr
Externí odkaz:
http://arxiv.org/abs/2410.22087
Publikováno v:
Conference: International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2024
Learning-based analysis of images is commonly used in the fields of mobility and robotics for safe environmental motion and interaction. This requires not only object recognition but also the assignment of certain properties to them. With the help of
Externí odkaz:
http://arxiv.org/abs/2407.17064
Publikováno v:
EPTCS 406, 2024, pp. 96-116
Quantum circuit synthesis describes the process of converting arbitrary unitary operations into a gate sequence of a fixed universal gate set, usually defined by the operations native to a given hardware platform. Most current synthesis algorithms ar
Externí odkaz:
http://arxiv.org/abs/2403.10864
Autor:
Elsharkawy, Amr, To, Xiao-Ting Michelle, Seitz, Philipp, Chen, Yanbin, Stade, Yannick, Geiger, Manuel, Huang, Qunsheng, Guo, Xiaorang, Ansari, Muhammad Arslan, Mendl, Christian B., Kranzlmüller, Dieter, Schulz, Martin
Quantum computing (QC) introduces a novel mode of computation with the possibility of greater computational power that remains to be exploited - presenting exciting opportunities for high performance computing (HPC) applications. However, recent adva
Externí odkaz:
http://arxiv.org/abs/2309.06167
This article examines the current status of quantum computing in Earth observation (EO) and satellite imagery. We analyze the potential limitations and applications of quantum learning models when dealing with satellite data, considering the persiste
Externí odkaz:
http://arxiv.org/abs/2308.09453
Autor:
Zhou, Naweiluo, Dufour, Florent, Bode, Vinzent, Zinterhof, Peter, Hammer, Nicolay J, Kranzlmüller, Dieter
Cloud computing provisions computer resources at a cost-effective way based on demand. Therefore it has become a viable solution for big data analytics and artificial intelligence which have been widely adopted in various domain science. Data securit
Externí odkaz:
http://arxiv.org/abs/2305.17761
Publikováno v:
IGARSS 2023
Deep Learning (DL) is one of many successful methodologies to extract informative patterns and insights from ever increasing noisy large-scale datasets (in our case, satellite images). However, DL models consist of a few thousand to millions of train
Externí odkaz:
http://arxiv.org/abs/2301.07528
Autor:
Zilk, Felix, Staudacher, Korbinian, Guggemos, Tobias, Fürlinger, Karl, Kranzlmüller, Dieter, Walther, Philip
Photons are a natural resource in quantum information, and the last decade showed significant progress in high-quality single photon generation and detection. Furthermore, photonic qubits are easy to manipulate and do not require particularly strongl
Externí odkaz:
http://arxiv.org/abs/2210.09251
Publikováno v:
IEEE jstars, 18 September 2023
Quantum machine learning (QML) networks promise to have some computational (or quantum) advantage for classifying supervised datasets (e.g., satellite images) over some conventional deep learning (DL) techniques due to their expressive power via thei
Externí odkaz:
http://arxiv.org/abs/2209.07799