Multi-Scale Representation of Ocean Flow Fields Based on Feature Analysis
ISPRS International Journal of Geo-Information, 2020 When it comes to feature retention in multi-scale representations of ocean flow fields, not all data points are equal. Therefore, this paper proposes a method of selecting data points based on their importance.
Bo Ai +6 more
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Multi-scale Representation of DEM Based on Fractional Contourlet Transform [PDF]
Jisuanji gongcheng, 2018 Most of the existing Digital Elevation Model(DEM) multi-resolution representation method are redundant transformation.The redundancy increases sharply with the increase of the scale of the transformation,so it cannot effectively express the multi-scale ...
WANG Haijiang,YAO Fuqi,LI Lihong,MA Yongqiang,YANG Qinke,WANG Jingpu
doaj +1 more source
Mixture of Kernels and Iterated Semidirect Product of Diffeomorphisms Groups
, 2011 In the framework of large deformation diffeomorphic metric mapping (LDDMM), we develop a multi-scale theory for the diffeomorphism group based on previous works. The purpose of the paper is (1) to develop in details a variational approach for multi-scale
Dupuis P. +9 more
core +4 more sources
Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification
, 2017 Person Re-identification (ReID) is to identify the same person across different cameras. It is a challenging task due to the large variations in person pose, occlusion, background clutter, etc How to extract powerful features is a fundamental problem in ...
Chen, Xiaotang +3 more
core +1 more source
Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions [PDF]
, 2015 The focus of this paper is on solving multi-robot planning problems in continuous spaces with partial observability. Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for multi-robot coordination problems, but ...
Agha-mohammadi, Ali-akbar +3 more
core +4 more sources
IET Computer Vision, 2019 The image fusion method based on sparse representation in the single‐scale image domain has produced better fusion results than the classic methods based on multi‐scale analysis nowadays.
Guiqing He +4 more
doaj +1 more source
Continuous Learning in a Hierarchical Multiscale Neural Network
, 2018 We reformulate the problem of encoding a multi-scale representation of a sequence in a language model by casting it in a continuous learning framework.
Chaumond, Julien +2 more
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Multi-view 3D retrieval using silhouette intersection and multi-scale contour representation [PDF]
, 2007 We describe in this paper two methods for 3D shape indexing and retrieval that we apply on two data collections of the SHREC - SHape Retrieval Contest 2007: Watertight models and 3D CAD models.
Adamek, Tomasz +3 more
core
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
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