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 present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Writes via unchecked pointer dereferences rank high among vulnerabilities most often exploited by malicious code. The most common attacks use an unchecked string copy to cause a b...
Major research challenges in discovering Web services include, provisioning of services across multiple or heterogeneous registries, differentiating between services that share si...