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...
We describe a query-driven indexing framework for scalable text retrieval over structured P2P networks. To cope with the bandwidth consumption problem that has been identified as ...
Gleb Skobeltsyn, Toan Luu, Karl Aberer, Martin Raj...