Results 21 to 30 of about 2,310,096 (349)
This paper investigates the affine formation maneuver control for multi-heterogeneous unmanned surface vessels (USV), aiming to enable them to navigate through narrow channels in the near-sea environment.
Yeye Liu, Xiaogong Lin, Chao Zhang
doaj +1 more source
Dominant Data Set Selection Algorithms for Electricity Consumption Time-Series Data Analysis Based on Affine Transformation [PDF]
In the explosive growth of time-series data (TSD), the scale of TSD suggests that the scale and capability of many Internet of Things (IoT)-based applications has already been exceeded.
Yi Wu +4 more
semanticscholar +1 more source
AV-differential geometry and Newtonian mechanics [PDF]
A frame independent formulation of analytical mechanics in the Newtonian space-time is presented The differential geometry of affine values i.e., the differential geometry in which affine bundles replace vector bundles and sections of one dimensional ...
Grabowska, Katarzyna, Urbanski, Pawel
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QUasi-Affine TRansformation Evolutionary algorithm (QUATRE) is a new optimization algorithm based on population for complex multiple real parameter optimization problems in real world.
Zhigang Du +4 more
semanticscholar +1 more source
Two-Step Affine Transformation Prediction for Visual Object Tracking
The main drawback of correlation filter scheme is that it can only predict translation of the object, ignoring the other affine transformations such as rotation, aspect ratio change, and scale change.
Weiwei Zheng, Huimin Yu, Zhaohui Lu
doaj +1 more source
Reversibility of affine transformations
AbstractAn element g in a group G is called reversible if g is conjugate to g−1 in G. An element g in G is strongly reversible if g is conjugate to g−1 by an involution in G. The group of affine transformations of $\mathbb D^n$ may be identified with the semi-direct product $\mathrm{GL}(n, \mathbb D) \ltimes \mathbb D^n $, where $\mathbb D:=\mathbb R, \
Krishnendu Gongopadhyay +2 more
openaire +3 more sources
Affine transformation edited and refined deep neural network for quantitative susceptibility mapping
Deep neural networks have demonstrated great potential in solving dipole inversion for Quantitative Susceptibility Mapping (QSM). However, the performances of most existing deep learning methods drastically degrade with mismatched sequence parameters ...
Zhuang Xiong +3 more
doaj +1 more source
Feature matching of remote‐sensing images based on bilateral local–global structure consistency
The goal of feature matching is to establish accurate correspondences between feature points in different images depicting the same scene. To address the polymorphism of local structures, the authors propose a mismatch removal method using bilateral ...
Qing‐Yan Chen, Da‐Zheng Feng
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Affine Structures on Jet and Weil Bundles [PDF]
Weil algebra morphism induce natural transformations between Weil bundles. In some well known cases, a natural transformation is endowed with a canonical structure of affine bundle.
Blázquez-Sanz, David
core +2 more sources
ADMIR–Affine and Deformable Medical Image Registration for Drug-Addicted Brain Images
We proposed an unsupervised end-to-end Affine and Deformable Medical Image Registration (ADMIR) method based on convolutional neural network (ConvNet).
Kun Tang +4 more
doaj +1 more source

