Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Decentralized information flow control (DIFC) is a promising model for writing programs with powerful, end-to-end security guarantees. Current DIFC systems that run on commodity ...
Indrajit Roy, Donald E. Porter, Michael D. Bond, K...
The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful...
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...
Abstract. When an object moves, it covers and uncovers texture in the background. This pattern of change is sufficient to define the object's shape, velocity, relative depth, ...
Theresa Cooke, Douglas W. Cunningham, Heinrich H. ...