Traditionally, research about trust assumes a single type of trust between users. However, trust, as a social concept, inherently has many facets indicating multiple and heterogen...
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
We propose a global optimization framework for 3D shape reconstruction from sparse noisy 3D measurements frequently encountered in range scanning, sparse featurebased stereo, and ...
Abstract-- Scientific workflow management systems are increaingly providing the ability to manage and query the provenance of data products. However, the problem of differencing th...
Zhuowei Bao, Sarah Cohen Boulakia, Susan B. Davids...
Network data models are widely used to describe the connectivity between spatial features in GIS architectures. Recent applications demand that such models are editable in multius...
Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassi...