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» Set cover algorithms for very large datasets
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SPAA
2003
ACM
15 years 11 months ago
Asynchronous parallel disk sorting
We develop an algorithm for parallel disk sorting, whose I/O cost approaches the lower bound and that guarantees almost perfect overlap between I/O and computation. Previous algor...
Roman Dementiev, Peter Sanders
CHI
2009
ACM
16 years 1 months ago
Matchin: eliciting user preferences with an online game
Eliciting user preferences for large datasets and creating rankings based on these preferences has many practical applications in community-based sites. This paper gives a new met...
Severin Hacker, Luis von Ahn
EDBT
2009
ACM
113views Database» more  EDBT 2009»
16 years 1 months ago
Query ranking in probabilistic XML data
Twig queries have been extensively studied as a major fragment of XPATH queries to query XML data. In this paper, we study PXMLRANK query, (Q, k), which is to rank top-k probabili...
Lijun Chang, Jeffrey Xu Yu, Lu Qin
FGR
2008
IEEE
132views Biometrics» more  FGR 2008»
16 years 24 days ago
Logit-RankBoost with pruning for face recognition
In this paper a novel ranking-based face recognition (FR) scheme is proposed. Compared with classical twoclass (intra/extra person) and multi-class (each person a single class) sc...
Bangpeng Yao, Haizhou Ai, Shihong Lao
SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 11 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras