Showing papers by "Nilesh Patel published in 2010"
TL;DR: The proposed Iterative Split Multi-label Decision Tree IS-MLT is easily extended to the problem of weighted labels such as those depicted by tag clouds and shows its scalability relative to single label approaches.
Abstract: Community tagging offers valuable information for media search and retrieval, but new media items are at a disadvantage. Automated tagging may populate media items with few tags, thus enabling their inclusion into search results. In this paper, a multi-label decision tree is proposed and applied to the problem of automated tagging of media data. In addition to binary labels, the proposed Iterative Split Multi-label Decision Tree IS-MLT is easily extended to the problem of weighted labels such as those depicted by tag clouds. Several datasets of differing media types show the effectiveness of the proposed method relative to other multi-label and single label classifier methods and demonstrate its scalability relative to single label approaches.Keywords: Automated Multimedia Tagging; Community Tagging; Multi-label Classification; Multi-label Decision Tree; Pattern Classification
9 citations
01 Jan 2010
TL;DR: A great desire to improve access to new healthcare methods, and the challenge of delivering healthcare becomes significant nowadays, because of the high number of medical errors within American hospitals.
Abstract: It was reported that between 44,000 and 98,000 deaths occur annually as a consequence of medical errors within American hospitals alone [1] and the US National Association of Boards of Pharmacy reports that as many as 7,000 deaths occur in the US each year because of incorrect prescriptions [2] Therefore, a great desire to improve access to new healthcare methods, and the challenge of delivering healthcare becomes significant nowadays.
5 citations
01 Jan 2010
TL;DR: The Beaumont BioBank Integration Management System (BIMS) is proposed, a collaborative research architecture based on the mediator approach utilizing the Honest Broker System that provides collaborative, flexible and secure environment capable of accelerating biomedical research.
Abstract: Translational biomedical research involves a diverse group of researchers, data sources and data types voluminous quantities. A collaborative research application is needed to connect these diverse elements. Two approaches are used to integrate biomedical research data; a central data warehouse approach in what all the information is imported into it and a mediator approach which integrates the data on demand. We propose the Beaumont BioBank Integration Management System (BIMS), a collaborative research architecture based on the mediator approach utilizing the Honest Broker System. Our system provides collaborative, flexible and secure environment capable of accelerating biomedical research.