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» Mining Very Large Databases
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122
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CVPR
2008
IEEE
16 years 4 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
118
Voted
ICIP
2000
IEEE
16 years 4 months ago
Efficient Video Similarity Measurement and Search
We consider the use of meta-data and/or video-domain methods to detect similar videos on the web. Meta-data is extracted from the textual and hyperlink information associated with...
Sen-Ching S. Cheung, Avideh Zakhor
222
Voted
ICDE
2006
IEEE
178views Database» more  ICDE 2006»
16 years 3 months ago
Declarative Querying for Biological Sequences
The ongoing revolution in life sciences research is producing vast amounts of genetic and proteomic sequence data. Scientists want to pose increasingly complex queries on this dat...
Sandeep Tata, Jignesh M. Patel, James S. Friedman,...
WWW
2004
ACM
16 years 3 months ago
Publishing museum collections on the semantic web: the museumfinland portal
Museum collections contain large amounts of data and semantically rich, mutually interrelated metadata in heterogeneous databases. The publication of museum collections on the web...
Ahti Syreeni, Arttu Valo, Eero Hyvönen, Eetu ...
SIGMOD
2006
ACM
114views Database» more  SIGMOD 2006»
16 years 2 months ago
Ordering the attributes of query results
There has been a great deal of interest in the past few years on ranking of results of queries on structured databases, including work on probabilistic information retrieval, rank...
Gautam Das, Vagelis Hristidis, Nishant Kapoor, S. ...