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» Practical Preference Relations for Large Data Sets
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VLDB
2004
ACM
161views Database» more  VLDB 2004»
16 years 5 months ago
Supporting top-k join queries in relational databases
Ranking queries produce results that are ordered on some computed score. Typically, these queries involve joins, where users are usually interested only in the top-k join results....
Ihab F. Ilyas, Walid G. Aref, Ahmed K. Elmagarmid
147
Voted
SSPR
2004
Springer
15 years 10 months ago
Feature Shaving for Spectroscopic Data
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...
Serguei Verzakov, Pavel Paclík, Robert P. W...
TVCG
2012
182views Hardware» more  TVCG 2012»
13 years 7 months ago
ISP: An Optimal Out-of-Core Image-Set Processing Streaming Architecture for Parallel Heterogeneous Systems
—Image population analysis is the class of statistical methods that plays a central role in understanding the development, evolution and disease of a population. However, these t...
Linh K. Ha, Jens Krüger, João Luiz Dih...
152
Voted
NIPS
2008
15 years 6 months ago
On the Reliability of Clustering Stability in the Large Sample Regime
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
Ohad Shamir, Naftali Tishby
VC
2010
143views more  VC 2010»
14 years 11 months ago
A PDE method for patchwise approximation of large polygon meshes
Abstract Three-dimensional (3D) representations of complex geometric shapes, especially when they are reconstructed from magnetic resonance imaging (MRI) and computed tomography (C...
Yun Sheng, Alexei Sourin, Gabriela González...