UNSUPERVISED DOMAIN ADAPTATION THROUGH TRANSFERRING BOTH THE SOURCE-KNOWLEDGE AND TARGET-RELATEDNESS SIMULTANEOUSLY

Unsupervised domain adaptation through transferring both the source-knowledge and target-relatedness simultaneously

Unsupervised domain adaptation (UDA) is an emerging research topic in the field of machine learning and pattern recognition, which aims to help the learning of unlabeled target domain by transferring knowledge from the source domain.To perform UDA, a variety of methods have been proposed, most Wooden Dollhouse Accessories of which concentrate on th

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3D CONTENT GENERATION USING HYBRID AERIAL SENSOR DATA

In aerial data acquisition a new era started with the introduction of the first real hybrid sensor systems, like the Leica CityMapper-2.Hybrid in this context means the combination of an (oblique) camera system with a topographic LiDAR into an integrated Wooden Dollhouse Accessories aerial mapping system.By combining these complimentary sub-systems

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Planning an adaptive reuse development of underutilized urban underground infrastructures: A case study of Qingdao, China

Urban underground infrastructures (UUIs) are a vital component of built capital for urban sustainability.However, many cities are now home to a multitude of disused or underutilized UUIs, not least aged purpose-built underground facilities, causing BOXERS a waste of valuable underground space resource assets.In the process of urban renewal, adaptiv

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