Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
We are working on a project aimed at building next generation analyst support tools that focus analysts’ attention on the most critical and novel information found within the da...
Previous work on domain specific search services in the area of depressive illness has documented the significant human cost required to setup and maintain closed-crawl parameters....
Thanh Tin Tang, David Hawking, Nick Craswell, Rame...
In this paper we are interested in finding images of people on the web, and more specifically within large databases of captioned news images. It has recently been shown that visua...
As the use of Electronic Medical Records (EMRs) becomes more widespread, so does the need for effective information discovery on them. Recently proposed EMR standards are XML-based...