Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
and logic defined on certain types of abstract spaces and how that intimate relationship might be exploited when applied in computational linguistics. It is also about an approach ...
Awareness has been extensively studied in human computer interaction (HCI) and computer supported cooperative work (CSCW). The success of many collaborative systems hinges on effe...
Umer Farooq, Craig H. Ganoe, John M. Carroll, Isaa...
: Metadata is used to describe documents and applications, improving information seeking and retrieval and its understanding and use. Metadata can be expressed in a wide variety of...