Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Michael Kampffmeyer"'
Publikováno v:
Applied Sciences, Vol 9, Iss 4, p 750 (2019)
Query-conditioned video summarization requires to (1) find a diverse set of video shots/frames that are representative for the whole video, and that (2) the selected shots/frames are related to a given query. Thus it can be tailored to different user
Externí odkaz:
https://doaj.org/article/4ee7aaafa550474d9a3f874a12a55d36
Publikováno v:
IEEE Journal of Oceanic Engineering
Multi-frequency echosounder data can provide a broad understanding of the underwater environment in a non-invasive manner. The analysis of echosounder data is, hence, a topic of great importance for the marine ecosystem. Semantic segmentation, a deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da0d9e8b00bee202bec419bcde600e67
https://hdl.handle.net/11250/3048795
https://hdl.handle.net/11250/3048795
Data government has played an instrumental role in securing the privacy-critical infrastructure in the medical domain and has led to an increased need of federated learning (FL). While decentralization can limit the effectiveness of standard supervis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88598993bbfb1b47a4aec87fd9573f3a
https://ora.ox.ac.uk/objects/uuid:bfc576bc-c7c9-4a9b-933a-410b0805c39d
https://ora.ox.ac.uk/objects/uuid:bfc576bc-c7c9-4a9b-933a-410b0805c39d
The lack of labeled data is a key challenge for learning useful representation from time series data. However, an unsupervised representation framework that is capable of producing high quality representations could be of great value. It is key to en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e46150e03e57a43eabcd706194eb994a
http://arxiv.org/abs/2203.09270
http://arxiv.org/abs/2203.09270
Autor:
Luigi Tommaso Luppino, Mads Adrian Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
Image translation with convolutional autoencoders has recently been used as an approach to multimodal change detection (CD) in bitemporal satellite images. A main challenge is the alignment of the code spaces by reducing the contribution of change pi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e2b774997bbb2899b968acc51fc52a1
https://hdl.handle.net/11567/1093201
https://hdl.handle.net/11567/1093201
Entanglement is a physical phenomenon, which has fueled recent successes of quantum algorithms. Although quantum neural networks (QNNs) have shown promising results in solving simple machine learning tasks recently, for the time being, the effect of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee6477efd948a51610444f54f8f3bba5
https://hdl.handle.net/10037/27740
https://hdl.handle.net/10037/27740
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164514
Using decentralized data for federated training is one promising emerging research direction for alleviating data scarcity in the medical domain. However, in contrast to large-scale fully labeled data commonly seen in general object recognition tasks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6903d4ee99dc80b3ead0b0c0a4e33e62
Autor:
Kristoffer Wickstrøm, J. Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031170294
This paper presents the kernelized Taylor diagram, a graphical framework for visualizing similarities between data populations. The kernelized Taylor diagram builds on the widely used Taylor diagram, which is used to visualize similarities between po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9da38eb9793b741b108ba1a0fb488c5b
https://doi.org/10.1007/978-3-031-17030-0_10
https://doi.org/10.1007/978-3-031-17030-0_10
Publikováno v:
CVPR
Aligning distributions of view representations is a core component of today's state of the art models for deep multi-view clustering. However, we identify several drawbacks with na\"ively aligning representation distributions. We demonstrate that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7952a495d86b64666d69de7adc72ae8
https://hdl.handle.net/10037/24371
https://hdl.handle.net/10037/24371
Multi-modality data is becoming readily available in remote sensing (RS) and can provide complementary information about the Earth's surface. Effective fusion of multi-modal information is thus important for various applications in RS, but also very
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::949b7b4baebf8c589e0eb9da6b4ba4f9
http://arxiv.org/abs/2111.03845
http://arxiv.org/abs/2111.03845