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The deployment of the large-scale video analysis center that provides comprehensive video applications is the developing trend of video surveillance systems. It integrates intelligent video information analysis, the mass video image content retrieval, and the associated data mining of structural video data. In this paper, we present the hierarchical architecture of the video analysis center by discussing...
The interactor normalization task (INT) is to identify genes that play the interactor role in protein-protein interactions (PPIs), to map these genes to unique IDs, and to rank them according to their normalized confidence. INT has two subtasks: gene normalization (GN) and interactor ranking. The main difficulties of INT GN are identifying genes across species and using full papers instead of abstracts...
The goal of gene normalization (GN) is to identify the unique database identifiers of genes and proteins mentioned in biomedical literature. A major difficulty in GN comes from inter-species gene ambiguity. That is, the same gene name can refer to different database identifiers depending on the species in question. In this paper, we introduce a method to exploit contextual information in an abstract,...
In a biomedical research environment, there is frequently a need for dynamically generated Web interfaces for patient-related data that can easily accommodate changes in the underlying data model by altering metadata rather than changing the interface code. In this paper, we present AutoGen, a tool developed at the Heart and Vascular Institute (HVI) of Cleveland Clinic for autogenerating the database...
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