We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
With the proliferation of online distribution methods for videos, content owners require easier and more effective methods for monetization through advertising. Matching advertis...
There exist many interrelated information sources on the Internet that can be categorized into structured (database) and semistructured (documents). A key challenge is to integrat...
In this paper, we report on a study that was performed within the "Semantics of History" project on how descriptions of historical events are realized in different types...
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...