Zobrazeno 1 - 10
of 117 892
pro vyhledávání: '"Mahalanobis."'
Autor:
Groenewald, Emily1, Van Vuuren, Gary2 vvgary@hotmail.com
Publikováno v:
International Journal of Economics & Financial Issues (IJEFI). 2024, Vol. 14 Issue 2, p203-206. 4p.
Autor:
Armah, Lovis Kwasi, Melnykov, Igor
Effectively applying the K-means algorithm to data with missing values remains an important research area due to its impact on applications that rely on K-means clustering. Recent studies have shown that integrating imputation directly into the K-mea
Externí odkaz:
http://arxiv.org/abs/2411.00870
In this paper, we discuss Mahalanobis k-NN: a statistical lens designed to address the challenges of feature matching in learning-based point cloud registration when confronted with an arbitrary density of point clouds, either in the source or target
Externí odkaz:
http://arxiv.org/abs/2409.06267
Multi-view crowd localization predicts the ground locations of all people in the scene. Typical methods usually estimate the crowd density maps on the ground plane first, and then obtain the crowd locations. However, the performance of existing metho
Externí odkaz:
http://arxiv.org/abs/2409.01726
Autor:
Oursland, Alan
This paper introduces a theoretical framework that connects neural network linear layers with the Mahalanobis distance, offering a new perspective on neural network interpretability. While previous studies have explored activation functions primarily
Externí odkaz:
http://arxiv.org/abs/2410.19352
Multivariate equivalence testing is needed in a variety of scenarios for drug development. For example, drug products obtained from natural sources may contain many components for which the individual effects and/or their interactions on clinical eff
Externí odkaz:
http://arxiv.org/abs/2406.03596
Autor:
Behrendt, Finn, Bhattacharya, Debayan, Mieling, Robin, Maack, Lennart, Krüger, Julia, Opfer, Roland, Schlaefer, Alexander
Unsupervised Anomaly Detection (UAD) methods rely on healthy data distributions to identify anomalies as outliers. In brain MRI, a common approach is reconstruction-based UAD, where generative models reconstruct healthy brain MRIs, and anomalies are
Externí odkaz:
http://arxiv.org/abs/2407.12474
In the realm of Artificial Intelligence (AI), the importance of Explainable Artificial Intelligence (XAI) is increasingly recognized, particularly as AI models become more integral to our lives. One notable single-instance XAI approach is counterfact
Externí odkaz:
http://arxiv.org/abs/2405.20685
The architectures of extrasolar planetary systems often deviate considerably from the ``standard" model for planet formation, which is largely based on our own Solar System. In particular, gas giants on close orbits are not predicted by planet format
Externí odkaz:
http://arxiv.org/abs/2405.12741
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