[책][B] A practical guide to averaging functions
G Beliakov, HB Sola, TC Sánchez - 2016 - Springer
Averaging is ubiquitous in many sciences, engineering, and everyday practice. The notions
of the arithmetic, geometric, and harmonic means developed by the ancient Greeks are in …
of the arithmetic, geometric, and harmonic means developed by the ancient Greeks are in …
3D cost aggregation with multiple minimum spanning trees for stereo matching
Cost aggregation is one of the key steps in the stereo matching problem. In order to improve
aggregation accuracy, we propose a cost-aggregation method that can embed minimum …
aggregation accuracy, we propose a cost-aggregation method that can embed minimum …
Accurate and efficient stereo matching by log-angle and pyramid-tree
C Xu, C Wu, D Qu, F Xu, H Sun… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Efficient and fast stereo matching is a challenging task due to the presence of occlusion and
low texture areas. In stereo matching, the correspondence between left and right images …
low texture areas. In stereo matching, the correspondence between left and right images …
Identifying the tangle of vortex tubes in homogeneous isotropic turbulence
We extend the vortex-surface field (VSF), whose isosurface is a vortex surface consisting of
vortex lines, to identify vortex tubes and sheets in homogeneous isotropic turbulence. The …
vortex lines, to identify vortex tubes and sheets in homogeneous isotropic turbulence. The …
Averaging functions on triangular fuzzy numbers and an application in graphs
Admissible orders on fuzzy numbers are total orders, which refine a basic and well-known
partial order on fuzzy numbers. In this work, we define an admissible order on triangular …
partial order on fuzzy numbers. In this work, we define an admissible order on triangular …
Importance sampling cams for weakly-supervised segmentation
Classification networks can be used to localize and segment objects in images by means of
class activation maps (CAMs). However, without pixel-level annotations, classification …
class activation maps (CAMs). However, without pixel-level annotations, classification …
Internal fusion functions
In this paper, we investigate a mechanism for fusing a set of inputs (values) in such a way
that the procedure does not create new information during the process. In order to do so, we …
that the procedure does not create new information during the process. In order to do so, we …
Comparison of aggregation classes in ensemble classifiers for high dimensional datasets
JG Bazan, S Bazan-Socha… - … on Fuzzy Systems …, 2022 - ieeexplore.ieee.org
In the paper, we consider a combination of classifiers for the microarray datasets-examples
of high dimensional datasets. Aggregation functions, in this case, are used to combine the …
of high dimensional datasets. Aggregation functions, in this case, are used to combine the …
Dual-biomimetic curved compound-eye camera system for multi-target distance measurement in a large field of view
Y Liu, H Xu, Y Zhang, D Wu, X Zhou, Q Meng… - Optics …, 2024 - opg.optica.org
Biomimetic curved compound-eye cameras (BCCECs) have attracted great attention for their
potential applications in a variety of fields such as target recognition, monitor and three …
potential applications in a variety of fields such as target recognition, monitor and three …
The distributivity law as a tool of k-NN classifiers' aggregation: mining a cyber-attack data set
This contribution proposed a novel approach for an ensemble method to increase
classification accuracy and at the same time minimizing ensemble classifiers by applying the …
classification accuracy and at the same time minimizing ensemble classifiers by applying the …