In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
Many applications require analyzing vast amounts of textual data, but the size and inherent noise of such data can make processing very challenging. One approach to these issues i...
David G. Underhill, Luke McDowell, David J. Marche...
Packaging software assets for reuse can improve the potential for others to adopt the software. Packaging the software with appropriate documentation and other resources can facil...
Ryan Gerard, Robert R. Downs, James J. Marshall, R...
Studies show that roughly one-third of searches that are performed on the web require the user to initiate subsequent searches. Bates [1] theorized that with every search the user...
We present an evolutionary clustering method which can be applied to multi-relational knowledge bases storing resource annotations expressed in the standard languages for the Sema...