A big data analytics strategy for scalable urban infrastructure condition assessment using semi-supervised multi-transform self-training

This work aims to leverage the recent advances in the field of computer vision and big data computing to develop a scalable framework for image-based monitoring of urban infrastructure and the built environment. Two alternative sources of big visual data, namely web images and Google Street View ima...

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