Microscopic image analysis of nuclei in pathology images generates tremendous amount of spatially derived data to support biomedical research and potential diagnosis. Such spatial data can be managed by traditional SQL based spatial databases and queried by SQL for spatial relationships. However, traditional spatial databases are designed for structured data with limited expressibility, which i...

We present our experiences with building SUPER 1 , a database environment based on a structurally object-oriented entity-relationship model, called ERC+. SUPER is designed to be a semantically rich user-friendly front-end to existing relational or object-oriented database systems. We focus on the functionalities of visual direct manipulation interfaces of SUPER, in particular the schema and the...

The freely available nature of the CUAVE database allows it to provide a valuable platform to form benchmarks and compare research. This paper shows that the CUAVE database can successfully be used to test speaker identifications systems, with performance comparable to existing systems implemented on other databases. Additionally, this research shows that the optimal configuration for decision-...

I believe that context's ability to reduce the ambiguity of an input signal makes it a vital constraint for understanding the real world. I specifically examine the role of context in vision and how a model-based approach can aid visual search and recognition. Through the implementation of a system capable of learning visual context models from an image database, I demonstrate the utility of th...

1. Determination of recognizable object types. 2. Definition of identification task. 3. Generation of viewing models for each object that should be identified 4. Creation of database with all views of all models. 5. Acquisition of scene space data and visual data. 6. Isolation of scene elements and transformation of those elements to model structures stored in the database. 7. Identification of...

SUMMARY An algorithm and software are described that provide a fast method to produce a novel, function-oriented visualization of the results of a sequence database search. Text mining of sequence annotations allows position specific plots of potential functional similarity to be compared in a simple compact representation. AVAILABILITY The application can be accessed via a web server at http...

This paper presents a simple and eeective visual language to express ODMG OQL queries. The language is expressive enough to allow most types of query nesting, aggregation, universal and existential quantiications, group-by, and sorting, and at the same time is uniform and very simple to learn and use. Our visual language is strongly typed in the sense that queries constructed in our system are ...

ChemProt-2.0 (http://www.cbs.dtu.dk/services/ChemProt-2.0) is a public available compilation of multiple chemical-protein annotation resources integrated with diseases and clinical outcomes information. The database has been updated to >1.15 million compounds with 5.32 millions bioactivity measurements for 15 290 proteins. Each protein is linked to quality-scored human protein-protein interacti...

We present various tools that are part of a visual interface for a database management system. All tools are based on the GOOD language, a graphical data deenition and manipulation language. The language allows us to build a consistent set of visual tools for both naive and experienced users. In this paper we mainly focus on the programbuilder, which is a tool for writing GOOD programs and can ...

With the increase of terrorist activity around the world, it has become more important than ever to analyze and understand these activities over time. Although the data on terrorist activities are detailed and relevant, the complexity of the data has rendered the understanding and analysis difficult. We present a visual analytical approach to effectively identify related entities such as terror...