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» Indexing Large Human-Motion Databases
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CVPR
1997
IEEE
14 years 9 months ago
Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
Shape indexing is a way of making rapid associations between features detected in an image and object models that could have produced them. When model databases are large, the use...
Jeffrey S. Beis, David G. Lowe
DASFAA
2010
IEEE
224views Database» more  DASFAA 2010»
14 years 25 days ago
Dynamic Skyline Queries in Large Graphs
Given a set of query points, a dynamic skyline query reports all data points that are not dominated by other data points according to the distances between data points and query po...
Lei Zou, Lei Chen 0002, M. Tamer Özsu, Dongya...
ICDE
2007
IEEE
119views Database» more  ICDE 2007»
14 years 2 months ago
Practical Preference Relations for Large Data Sets
User-defined preferences allow personalized ranking of query results. A user provides a declarative specification of his/her preferences, and the system is expected to use that ...
Kenneth A. Ross, Peter J. Stuckey, Amélie M...
BMCBI
2007
177views more  BMCBI 2007»
13 years 7 months ago
The BioPrompt-box: an ontology-based clustering tool for searching in biological databases
Background: High-throughput molecular biology provides new data at an incredible rate, so that the increase in the size of biological databanks is enormous and very rapid. This sc...
Claudio Corsi, Paolo Ferragina, Roberto Marangoni
KES
2006
Springer
13 years 7 months ago
Integrated Document Browsing and Data Acquisition for Building Large Ontologies
Named entities (e.g., "Kofi Annan", "Coca-Cola", "Second World War") are ubiquitous in web pages and other types of document and often provide a simpl...
Felix Weigel, Klaus U. Schulz, Levin Brunner, Edua...