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» Mining Very Large Databases
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152
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MM
2006
ACM
167views Multimedia» more  MM 2006»
15 years 9 months ago
Image annotation by large-scale content-based image retrieval
Image annotation has been an active research topic in recent years due to its potentially large impact on both image understanding and Web image search. In this paper, we target a...
Xirong Li, Le Chen, Lei Zhang, Fuzong Lin, Wei-Yin...
160
Voted
CVPR
2008
IEEE
16 years 5 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
201
Voted
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
16 years 3 months ago
Supporting ranking and clustering as generalized order-by and group-by
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, K...
129
Voted
PDIS
1994
IEEE
15 years 7 months ago
An Economic Paradigm for Query Processing and Data Migration in Mariposa
Many new database applications require very large volumes of data. Mariposa is a data base system under construction at Berkeley responding to this need. Mariposa objects can be s...
Michael Stonebraker, Robert Devine, Marcel Kornack...
117
Voted
BMCBI
2006
136views more  BMCBI 2006»
15 years 3 months ago
Java GUI for InterProScan (JIPS): A tool to help process multiple InterProScans and perform ortholog analysis
Background: Recent, rapid growth in the quantity of available genomic data has generated many protein sequences that are not yet biochemically classified. Thus, the prediction of ...
Aijazuddin Syed, Chris Upton