Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Enabling nonexperts to understand a software system and the scenarios of usage of that system can be challenging. Visually modeling a collection of scenarios as social interaction...
This paper presents a case study in assessment of erosion hotspots in an Andean watershed. To do this, we made use of an interface called Geospatial Modelling of Soil Erosion (GEM...
In this paper, we study the problem of social relational inference using visual concepts which serve as indicators of actors’ social interactions. While social network analysis ...
Model transformation means converting an input model available at the beginning of the transformation process to an output model. A widely used approach to model transformation us...