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» Mining Very Large Databases
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134
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PVLDB
2008
107views more  PVLDB 2008»
15 years 3 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
CVPR
1996
IEEE
16 years 5 months ago
Combining greyvalue invariants with local constraints for object recognition
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
Cordelia Schmid, Roger Mohr
132
Voted
VLDB
1990
ACM
101views Database» more  VLDB 1990»
15 years 7 months ago
Non-Monotonic Knowledge Evolution in VLKDBs
Non-monotonic knowledge evolutions and exceptions constitute a complex theoritical and practical problem. The state of the art shows a rich and surprising diversity of approaches....
Christian Esculier
135
Voted
CORR
2008
Springer
114views Education» more  CORR 2008»
15 years 3 months ago
Dynamic index selection in data warehouses
Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response...
Stéphane Azefack, Kamel Aouiche, Jér...
144
Voted
WWW
2009
ACM
16 years 4 months ago
Mapping the world's photos
We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. Our approach combines content analy...
David J. Crandall, Lars Backstrom, Daniel P. Hutte...