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» A random walk approach to sampling hidden databases
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FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
15 years 1 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
SIGMOD
2006
ACM
121views Database» more  SIGMOD 2006»
15 years 3 months ago
Derby/S: a DBMS for sample-based query answering
Although approximate query processing is a prominent way to cope with the requirements of data analysis applications, current database systems do not provide integrated and compre...
Anja Klein, Rainer Gemulla, Philipp Rösch, Wo...
SAC
2006
ACM
15 years 3 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
SIGMOD
2007
ACM
170views Database» more  SIGMOD 2007»
15 years 9 months ago
Cardinality estimation using sample views with quality assurance
Accurate cardinality estimation is critically important to high-quality query optimization. It is well known that conventional cardinality estimation based on histograms or simila...
Per-Åke Larson, Wolfgang Lehner, Jingren Zho...
EDBT
2009
ACM
131views Database» more  EDBT 2009»
15 years 26 days ago
Sample synopses for approximate answering of group-by queries
With the amount of data in current data warehouse databases growing steadily, random sampling is continuously gaining in importance. In particular, interactive analyses of large d...
Philipp Rösch, Wolfgang Lehner