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ICASSP
2010
IEEE
15 years 4 months ago
Searching with expectations
Handling large amounts of data, such as large image databases, requires the use of approximate nearest neighbor search techniques. Recently, Hamming embedding methods such as spec...
Harsimrat Sandhawalia, Herve Jegou
CORR
2002
Springer
104views Education» more  CORR 2002»
15 years 4 months ago
Intelligent Search of Correlated Alarms for GSM Networks with Model-based Constraints
In order to control the process of data mining and focus on the things of interest to us, many kinds of constraints have been added into the algorithms of data mining. However, di...
Qingguo Zheng, Ke Xu, Weifeng Lv, Shilong Ma
158
Voted
TODS
2002
92views more  TODS 2002»
15 years 4 months ago
Searching in metric spaces with user-defined and approximate distances
Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...
Paolo Ciaccia, Marco Patella
BMCBI
2008
160views more  BMCBI 2008»
15 years 4 months ago
VariVis: a visualisation toolkit for variation databases
Background: With the completion of the Human Genome Project and recent advancements in mutation detection technologies, the volume of data available on genetic variations has rise...
Timothy D. Smith, Richard G. H. Cotton
CIA
1999
Springer
15 years 9 months ago
GETESS - Searching the Web Exploiting German Texts
Abstract. We present an intelligent information agent that uses semantic methods and natural language processing capabilites in order to gather tourist information from the WWW and...
Steffen Staab, Christian Braun, Ilvio Bruder, Antj...