Multi-Modal Image Fusion via Sparse Representation and Multi-Scale Anisotropic Guided Measure
IEEE Access, 2020 The multi-modal image fusion plays an important role in various fields. In this paper, a novel multi-modal image fusion method based on robust principal component analysis (RPCA) is proposed, which consists of low-rank components fusion and sparse ...
Shuai Zhang +5 more
doaj +1 more source
Grey Level Image Components for Multi-scale Representation [PDF]
, 2004 A method to identify grey level image components, suitable for multi-scale analysis, is presented. Generally, a single threshold is not sufficient to separate components, perceived as individual entities. Our process is based on iterated identification and removal of pixels, with different grey level values, causing merging of grey level components at ...
Ramella G, Sanniti di Baja G
openaire +3 more sources
Mixed-dimensional consistent coupling by multi-point constraint equations for efficient multi-scale modeling [PDF]
, 2012 Finding an appropriate linking method to connect different dimensional element types in a single finite element model is a key issue in the multi-scale modeling.
Ling, Z.H. +3 more
core +1 more source
Selective Multi-Scale Feature Learning by Discriminative Local Representation
IEEE Access, 2019 In the computer vision community, the general trend has been to capture and select discriminative features in order to yield significantly better performance.
Chengji Xu, Xiaofeng Wang, Yadong Yang
doaj +1 more source
Spiking Neural Network Model for Brain-like Computing and Progress of Its Learning Algorithm [PDF]
Jisuanji kexue, 2023 With the increasingly prominent limitations of deep neural networks in practical applications,brain-like computing spiking neural networks with biological interpretability have become the focus of research.The uncertainty and complex diversity of ...
HUANG Zenan, LIU Xiaojie, ZHAO Chenhui, DENG Yabin, GUO Donghui
doaj +1 more source
A Multi-Scale Virtual Terrain for Hierarchically Structured Non-Location Data
ISPRS International Journal of Geo-Information, 2021 Metaphor are commonly used rhetorical devices in linguistics. Among the various types, spatial metaphors are relatively common because of their intuitive and sensible nature.
Rui Xin +5 more
doaj +1 more source
Multi-scale object detection by bottom-up feature pyramid network
The Journal of Engineering, 2019 The deep neural networks has been developed fast and shown great successes in many significant fields, such as smart surveillance, self-driving and face recognition.
Zhao Boya +3 more
doaj +1 more source
Multi-Scale Neural Network for EEG Representation Learning in BCI [PDF]
IEEE Computational Intelligence Magazine, 2021 11 pages, 7 ...
Wonjun Ko +3 more
openaire +2 more sources
Analysis of large-scale UAV images using a multi-scale hierarchical representation
Geo-spatial Information Science, 2018 Unmanned aerial vehicle (UAV)-based imaging systems have many superiorities compared with other platforms, such as high flexibility and low cost in collecting images, providing wide application prospects.
Huai Yu +4 more
doaj +1 more source
Multi-scale modeling of gas-fluidized beds [PDF]
, 2006 Numerical models of gas-fluidized beds have become an important tool in the design and scale up of gas-solid chemical reactors. However, a single numerical model which includes the solid-solid and solid-fluid interaction in full detail is not feasible ...
Hoef, van der, M.A. +22 more
core +1 more source