The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

As digital libraries grow in size, querying their contents will become as frustrating as querying the web is now. One remedy is to hierarchically cluster the results that are returned by searching a digital library. We report progress in clustering search results from Carnegie Mellon's Informedia database, a large video library that supports indexing and retrieval with automatically generated descriptors.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Project(s): Informedia Digital Video Library

Text Reference

Howard Wactlar, Raul Valdes-Perez, Jerome Pesenti, C. Palmer, Dorbin Ng, Alex Hauptmann, and Michael Christel, "Demonstration of Hierarchical Document Clustering of Digital Library Retrieval Results," Joint Conference on Digital Libraries (JCDL'01), June, 2001.

BibTeX Reference

@inproceedings{Wactlar_2001_3961,
   author = "Howard Wactlar and Raul Valdes-Perez and Jerome Pesenti and C. Palmer and Dorbin Ng and Alex Hauptmann and Michael Christel",
   title = "Demonstration of Hierarchical Document Clustering of Digital Library Retrieval Results",
   booktitle = "Joint Conference on Digital Libraries (JCDL'01)",
   month = "June",
   year = "2001",
}

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