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CVPR
2012
IEEE
13 years 9 months ago
Three things everyone should know to improve object retrieval
The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the...
Relja Arandjelovic, Andrew Zisserman
SDM
2012
SIAM
224views Data Mining» more  SDM 2012»
13 years 9 months ago
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees
Many high-profile applications pose high-dimensional nearest-neighbor search problems. Yet, it still remains difficult to achieve fast query times for state-of-the-art approache...
Parikshit Ram, Dongryeol Lee, Alexander G. Gray
VLDB
2004
ACM
128views Database» more  VLDB 2004»
16 years 7 months ago
Operator scheduling in data stream systems
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or realtime query responses in su...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
SIGMOD
2009
ACM
161views Database» more  SIGMOD 2009»
16 years 7 months ago
Automated SQL tuning through trial and (sometimes) error
SQL tuning--the attempt to improve a poorly-performing execution plan produced by the database query optimizer-is a critical aspect of database performance tuning. Ironically, as ...
Herodotos Herodotou, Shivnath Babu
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
16 years 6 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...