Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Peter M. Roth"'
Publikováno v:
Entropy, Vol 23, Iss 6, p 711 (2021)
Information plane analysis, describing the mutual information between the input and a hidden layer and between a hidden layer and the target over time, has recently been proposed to analyze the training of neural networks. Since the activations of a
Externí odkaz:
https://doaj.org/article/106fc0deed994c93957a8c2b80004ce0
Publikováno v:
Journal of Imaging, Vol 7, Iss 2, p 21 (2021)
Many scientific studies deal with person counting and density estimation from single images. Recently, convolutional neural networks (CNNs) have been applied for these tasks. Even though often better results are reported, it is often not clear where
Externí odkaz:
https://doaj.org/article/c7a2a17eb4f24cfbb473dd84a9204328
Publikováno v:
Remote Sensing, Vol 11, Iss 17, p 2052 (2019)
In this work, we introduce an end-to-end workflow for very high-resolution satellite-based mapping, building the basis for important 3D mapping products: (1) digital surface model, (2) digital terrain model, (3) normalized digital surface model and (
Externí odkaz:
https://doaj.org/article/5e2047aa8e1f4460a96537ad3bef0466
Autor:
Alexandra Jammer, Saqib Saleem Akhtar, Daniel Buchvaldt Amby, Chandana Pandey, Mengistu F Mekureyaw, Frederik Bak, Peter M Roth, Thomas Roitsch
Publikováno v:
Jammer, A, Akhtar, S S, Amby, D B, Pandey, C, Mekureyaw, M F, Bak, F, Roth, P M & Roitsch, T 2022, ' Enzyme activity profiling for physiological phenotyping within functional phenomics : plant growth and stress responses ', Journal of Experimental Botany, vol. 73, no. 15, pp. 5170-5198 . https://doi.org/10.1093/jxb/erac215
High-throughput profiling of key enzyme activities of carbon, nitrogen, and antioxidant metabolism is emerging as a valuable approach to integrate cell physiological phenotyping into a holistic functional phenomics approach. However, the analyses of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::380b896906c71acef06e50089edb2a79
https://doi.org/10.1093/jxb/erac215
https://doi.org/10.1093/jxb/erac215
Publikováno v:
Journal of Intelligent Information Systems. 57:547-562
In this paper, a neural network is trained to perform simple arithmetic using images of concatenated handwritten digit pairs. A convolutional neural network was trained with images consisting of two side-by-side handwritten digits, where the image’
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bd8ad54dfda9cb911d9c3e251812840
https://doi.org/10.1007/s10844-021-00662-9
https://doi.org/10.1007/s10844-021-00662-9
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c93f236cc6757a77d743b76764924cb
https://doi.org/10.1109/igarss46834.2022.9884172
https://doi.org/10.1109/igarss46834.2022.9884172
Autor:
Tobias Langlotz, David Mandl, Peter M. Roth, Shohei Mori, Peter Mohr, Christoph Ebner, Denis Kalkofen, Stefanie Zollmann
Publikováno v:
ISMAR
Coherent rendering is important for generating plausible Mixed Reality presentations of virtual objects within a user’s real-world environment. Besides photo-realistic rendering and correct lighting, visual coherence requires simulating the imaging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eb08f3e90e2e38bc877883c28de06f4
https://doi.org/10.1109/ismar52148.2021.00068
https://doi.org/10.1109/ismar52148.2021.00068
Autor:
Peter M. Roth, Thomas Schnsbel, Mario Theuermann, Manfred Klopschitz, Roland Perko, Alexander Almer
Publikováno v:
IGARSS
Generic object density estimation and counting plays an important role in various remote sensing applications. Therefore, this work discusses available Earth observation based datasets for both tasks. Critical aspects of the current evaluation protoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8575c266c7d3040e5a3b1d8216790f42
https://doi.org/10.1109/igarss47720.2021.9553934
https://doi.org/10.1109/igarss47720.2021.9553934
Publikováno v:
Entropy
Volume 23
Issue 6
Entropy, Vol 23, Iss 711, p 711 (2021)
Volume 23
Issue 6
Entropy, Vol 23, Iss 711, p 711 (2021)
Information plane analysis, describing the mutual information between the input and a hidden layer and between a hidden layer and the target over time, has recently been proposed to analyze the training of neural networks. Since the activations of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9436abd5c81d90695f11ef5a8d16ab67
https://pubmed.ncbi.nlm.nih.gov/34205211
https://pubmed.ncbi.nlm.nih.gov/34205211
Publikováno v:
Journal of Imaging, Vol 7, Iss 21, p 21 (2021)
Journal of Imaging
Volume 7
Issue 2
Journal of Imaging
Volume 7
Issue 2
Many scientific studies deal with person counting and density estimation from single images. Recently, convolutional neural networks (CNNs) have been applied for these tasks. Even though often better results are reported, it is often not clear where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46c053870c7458bc959c1ef90e0635c1
https://www.mdpi.com/2313-433X/7/2/21
https://www.mdpi.com/2313-433X/7/2/21