Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking
, 2018 Multi-person human pose estimation and tracking in the wild is important and challenging. For training a powerful model, large-scale training data are crucial.
Chen, Riwei +5 more
core +1 more source
Multi-Scale Representation Learning for Protein Fitness Prediction
Advances in Neural Information Processing Systems 37Designing novel functional proteins crucially depends on accurately modeling their fitness landscape. Given the limited availability of functional annotations from wet-lab experiments, previous methods have primarily relied on self-supervised models trained on vast, unlabeled protein sequence or structure datasets.
Zhang, Zuobai +7 more
openaire +3 more sources
Stakeholder Specific Multi-Scale Spatial Representation of Urban Building-Stocks
ISPRS International Journal of Geo-Information, 2018 Urban building-stocks use a significant amount of resources and energy. At the same time, they have a large potential for energy efficiency measures (EEM).
Magnus Österbring +3 more
doaj +1 more source
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI
Frontiers in Neuroinformatics, 2022 Resting-state functional MRI (rs-fMRI) has been widely used for the early diagnosis of autism spectrum disorder (ASD). With rs-fMRI, the functional connectivity networks (FCNs) are usually constructed for representing each subject, with each element ...
Ying Chu +5 more
doaj +1 more source
Continued Fraction Representation of Temporal Multi Scaling in Turbulence
, 1998 It was shown recently that the anomalous scaling of simultaneous correlation functions in turbulence is intimately related to the breaking of temporal scale invariance, which is equivalent to the appearance of infinitely many times scales in the time ...
Daems, David +3 more
core +1 more source
TRANSFERRING MULTI-SCALE APPROACHES FROM 3D CITY MODELING TO IFC-BASED TUNNEL MODELING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 A multi-scale representation of the built environment is required to provide information with the adequate level of detail (LoD) for different use cases and objectives.
A. Borrmann +4 more
doaj +1 more source
An Enhanced Deep Feature Representation for Person Re-identification
, 2016 Feature representation and metric learning are two critical components in person re-identification models. In this paper, we focus on the feature representation and claim that hand-crafted histogram features can be complementary to Convolutional Neural ...
Chen, Ying-Cong +5 more
core +1 more source
Research on a Multi-Scale Clustering Method for Buildings Taking into Account Visual Cognition
BuildingsBuilding clustering is a key problem that needs to be solved in the realization of the automatic synthesis of large-scale maps. The selection of different feature and spatial distance calculation methods has a great impact on the clustering results, and ...
Di Sun +4 more
doaj +1 more source
The Landau Equation for Maxwellian molecules and the Brownian Motion on SO_R(N) [PDF]
, 2014 In this paper we prove that the spatially homogeneous Landau equation for Maxwellian molecules can be represented through the product of two elementary processes. The first one is the Brownian motion on the group of rotations.
Delarue, François +2 more
core +3 more sources
Unleashing the Power of Hierarchical Variational Autoencoder for Predicting Breast Cancer
IEEE AccessBreast cancer continues to be a major health concern worldwide. Early and accurate prediction is crucial for effective treatment and improving survival rates. Computer Aided Diagnosis system serves as an invaluable tool for radiologists, aiming to reduce
V. Sreelekshmi +2 more
doaj +1 more source