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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 27 days 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
197
Voted
EDBT
2009
ACM
113views Database» more  EDBT 2009»
16 years 27 days 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 17 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
151
Voted
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