The retrieval of videos of interest from large video collections is a main open problem which calls for the definition of new video content characterization techniques in term of ...
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
Rong Jin (Michigan State University), Shijun Wang...
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
Development environments based on ActiveX controls and JavaBeans are marketed as "visual programming" platforms; in practice their visual dimension is limited to the des...