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pro vyhledávání: '"Kullberg A"'
Basis Function (BF) expansions are a cornerstone of any engineer's toolbox for computational function approximation which shares connections with both neural networks and Gaussian processes. Even though BF expansions are an intuitive and straightforw
Externí odkaz:
http://arxiv.org/abs/2408.07480
The Hilbert-space Gaussian Process (HGP) approach offers a hyperparameter-independent basis function approximation for speeding up Gaussian Process (GP) inference by projecting the GP onto M basis functions. These properties result in a favorable dat
Externí odkaz:
http://arxiv.org/abs/2408.02346
The study of associations between an individual's age and imaging and non-imaging data is an active research area that attempts to aid understanding of the effects and patterns of aging. In this work we have conducted a supervoxel-wise association st
Externí odkaz:
http://arxiv.org/abs/2405.07762
Typical iterated filters, such as the iterated extended Kalman filter (IEKF), iterated unscented Kalman filter (IUKF), and iterated posterior linearization filter (IPLF), have been developed to improve the linearization point (or density) of the like
Externí odkaz:
http://arxiv.org/abs/2404.15359
Autor:
Breznik, Eva, Kervadec, Hoel, Malmberg, Filip, Kullberg, Joel, Ahlström, Håkan, de Bruijne, Marleen, Strand, Robin
This paper investigates the combination of intensity-based distance maps with boundary loss for point-supervised semantic segmentation. By design the boundary loss imposes a stronger penalty on the false positives the farther away from the object the
Externí odkaz:
http://arxiv.org/abs/2311.03537
This paper considers the problem of detecting and tracking objects in a sequence of images. The problem is formulated in a filtering framework, using the output of object-detection algorithms as measurements. An extension to the filtering formulation
Externí odkaz:
http://arxiv.org/abs/2310.08316
This letter investigates relationships between iterated filtering algorithms based on statistical linearization, such as the iterated unscented Kalman filter (IUKF), and filtering algorithms based on quasi-Newton (QN) methods, such as the QN iterated
Externí odkaz:
http://arxiv.org/abs/2309.07636
This letter shows that the following three classes of recursive state estimation filters: standard filters, such as the extended Kalman filter; iterated filters, such as the iterated unscented Kalman filter; and dynamically iterated filters, such as
Externí odkaz:
http://arxiv.org/abs/2309.07631
This paper addresses the trade-off between time- and energy-efficiency for the problem of loading and unloading a ship. Container height constraints and energy consumption and regeneration are dealt with. We build upon a previous work that introduced
Externí odkaz:
http://arxiv.org/abs/2304.09232
Autor:
Per Karlsson, Robin Strand, Joel Kullberg, Karl Michaëlsson, Håkan Ahlström, Lars Lind, Andrei Malinovschi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract A cardiopulmonary exercise test (CPET) is a test assessing an individual’s physiological response during exercise. Results may be affected by body composition, which is best evaluated through imaging techniques like magnetic resonance imag
Externí odkaz:
https://doaj.org/article/75a97e038de3444fa73a0317765d9601
