Zobrazeno 1 - 10
of 24 968
pro vyhledávání: '"NOVELTY DETECTION"'
Publikováno v:
Image and Video Technology (2024), Springer Nature Singapore, 182--196
We propose an effective unsupervised 3D point cloud novelty detection approach, leveraging a general point cloud feature extractor and a one-class classifier. The general feature extractor consists of a graph-based autoencoder and is trained once on
Externí odkaz:
http://arxiv.org/abs/2410.09861
Autor:
Gaudreault, Jean-Gabriel1 (AUTHOR) j.gaudreault@uottawa.ca, Branco, Paula1 (AUTHOR) pbranco@uottawa.ca
Publikováno v:
ACM Computing Surveys. Oct2024, Vol. 56 Issue 10, p1-37. 37p.
Novelty detection is a critical task in various engineering fields. Numerous approaches to novelty detection rely on supervised or semi-supervised learning, which requires labelled datasets for training. However, acquiring labelled data, when feasibl
Externí odkaz:
http://arxiv.org/abs/2409.07135
Autor:
Mirzaei, Hossein, Nafez, Mojtaba, Jafari, Mohammad, Soltani, Mohammad Bagher, Azizmalayeri, Mohammad, Habibi, Jafar, Sabokrou, Mohammad, Rohban, Mohammad Hossein
Novelty detection is a critical task for deploying machine learning models in the open world. A crucial property of novelty detection methods is universality, which can be interpreted as generalization across various distributions of training or test
Externí odkaz:
http://arxiv.org/abs/2408.10798
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Graphical representations are useful to model complex data in general and biological interactions in particular. Our main motivation is the comparison of metabolic networks in the wider context of developing noninvasive accurate d
Externí odkaz:
https://doaj.org/article/36b5f1d4faee491c9b4c96463c1595b6
Autor:
Marandon, Ariane1 (AUTHOR), Rebafka, Tabea1,2 (AUTHOR), Sokolovska, Nataliya3 (AUTHOR) nataliya.sokolovska@sorbonne-universite.fr, Soula, Hédi4 (AUTHOR)
Publikováno v:
BMC Bioinformatics. 11/16/2024, Vol. 25 Issue 1, p1-18. 18p.
Ultra-Wideband (UWB) technology is an emerging low-cost solution for localization in a generic environment. However, UWB signal can be affected by signal reflections and non-line-of-sight (NLoS) conditions between anchors; hence, in a broader sense,
Externí odkaz:
http://arxiv.org/abs/2404.05351
In novelty detection, the goal is to decide if a new data point should be categorized as an inlier or an outlier, given a training dataset that primarily captures the inlier distribution. Recent approaches typically use deep encoder and decoder netwo
Externí odkaz:
http://arxiv.org/abs/2404.04456
Akademický článek
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