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KDD
2009
ACM
217views Data Mining» more  KDD 2009»
14 years 8 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
ICDE
2006
IEEE
194views Database» more  ICDE 2006»
14 years 9 months ago
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying meas...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
CLEF
2009
Springer
13 years 8 months ago
Prior Art Search Using International Patent Classification Codes and All-Claims-Queries
In this study, we describe our system at the Intellectual Property track of the 2009 CrossLanguage Evaluation Forum campaign (CLEF-IP). The CLEF-IP track addressed prior art searc...
Benjamin Herbert, György Szarvas, Iryna Gurev...
JDA
2008
87views more  JDA 2008»
13 years 7 months ago
Lossless filter for multiple repetitions with Hamming distance
Similarity search in texts, notably in biological sequences, has received substantial attention in the last few years. Numerous filtration and indexing techniques have been create...
Pierre Peterlongo, Nadia Pisanti, Fréd&eacu...
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
14 years 9 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Alexey Pryakhin, Christian Böhm, Matthias Sch...