Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Remco C. Veltkamp"'
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110527- (2024)
The Netherlands police are looking for measures to examine sentiment on social media related to protest demonstrations. While models exist to detect more subtle expressions of sentiment within tweets, models trained in the Dutch language are scarce.
Externí odkaz:
https://doaj.org/article/852bc586ce4f4d8caa9ec422ecb74b28
Autor:
Hossein Nasrollahi, Ioannis Lampropoulos, Stefan Werning, Anton Belinskiy, Jan Dirk Fijnheer, Remco C. Veltkamp, Wilfried van Sark
Publikováno v:
Energies, Vol 16, Iss 19, p 6948 (2023)
In recent years, serious energy games (SEGs) garnered increasing attention as an innovative and effective approach to tackling energy-related challenges. This review delves into the multifaceted landscape of SEG, specifically focusing on their wide-r
Externí odkaz:
https://doaj.org/article/64c8e62da7bb46d8a88dbb151de06017
Autor:
Marten L. Chaillet, Gijs van der Schot, Ilja Gubins, Sander Roet, Remco C. Veltkamp, Friedrich Förster
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 17, p 13375 (2023)
Cryo-electron tomography provides 3D images of macromolecules in their cellular context. To detect macromolecules in tomograms, template matching (TM) is often used, which uses 3D models that are often reliable for substantial parts of the macromolec
Externí odkaz:
https://doaj.org/article/1b65b7ae68d847fb896e7403d35af438
Autor:
Nina Rosa, Remco C. Veltkamp, Wolfgang Hürst, Anne-Marie Brouwer, Kaj Gijsbertse, Ioana Cocu, Peter Werkhoven
Publikováno v:
Frontiers in Computer Science, Vol 3 (2021)
In teleoperations, robots are generally used because related tasks are too dangerous, uncomfortable or impossible for humans to perform. When using augmented reality to control robotic limbs in such teleoperations, it is essential to understand how t
Externí odkaz:
https://doaj.org/article/1a4819e0795c4a60bb0ba53213e413bc
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-16 (2018)
Abstract We introduce a novel spatiotemporal deformable part model for the localization of fine-grained human interactions of two persons in unsegmented videos. Our approach is the first to classify interactions and additionally provide the temporal
Externí odkaz:
https://doaj.org/article/ccb5c9b918784359baa3de41e043699e
Publikováno v:
Sensors, Vol 21, Iss 4, p 1299 (2021)
Deep learning has achieved great success on robotic vision tasks. However, when compared with other vision-based tasks, it is difficult to collect a representative and sufficiently large training set for six-dimensional (6D) object pose estimation, d
Externí odkaz:
https://doaj.org/article/6877c2387d6d42c6acde3db38d254b86
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6241 (2020)
One of the main principles of Deep Convolutional Neural Networks (CNNs) is the extraction of useful features through a hierarchy of kernels operations. The kernels are not explicitly tailored to address specific target classes but are rather optimize
Externí odkaz:
https://doaj.org/article/4e942af28b6748489e2c78f3bc027945
Publikováno v:
Applied Sciences, Vol 7, Iss 12, p 1242 (2017)
Music similarity is a complex concept that manifests itself in areas such as Music Information Retrieval (MIR), musicological analysis and music cognition. Modelling the similarity of two music items is key for a number of music-related applications,
Externí odkaz:
https://doaj.org/article/6f2333eb227e44949a6fac3a6b2d4c4c
Autor:
Yang Gao, Honglin Yuan, Tao Ku, Remco C. Veltkamp, Georgios Zamanakos, Lazaros Tsochatzidis, Angelos Amanatiadis, Ioannis Pratikakis, Aliki Panou, Ioannis Romanelis, Vlassis Fotis, Gerasimos Arvanitis, Konstantinos Moustakas
Localization and navigation are the two most important tasks for mobile robots, which require an up-to-date and accurate map. However, to detect map changes from crowdsourced data is a challenging task, especially from billions of points collected by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::60f3fc8787d95974678283b034887921
https://zenodo.org/record/8167321
https://zenodo.org/record/8167321
Autor:
Dionysis Alexandridis, Sander C. J. Bakkes, Sanne L. Nijhof, Elise van de Putte, Remco C. Veltkamp
Publikováno v:
Proceedings of the 18th International Conference on the Foundations of Digital Games.