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124
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WWW
2005
ACM
16 years 3 months ago
LSH forest: self-tuning indexes for similarity search
We consider the problem of indexing high-dimensional data for answering (approximate) similarity-search queries. Similarity indexes prove to be important in a wide variety of sett...
Mayank Bawa, Tyson Condie, Prasanna Ganesan
256
Voted
PLDI
2009
ACM
16 years 3 months ago
Automatic generation of library bindings using static analysis
High-level languages are growing in popularity. However, decades of C software development have produced large libraries of fast, timetested, meritorious code that are impractical...
Tristan Ravitch, Steve Jackson, Eric Aderhold, Ben...
122
Voted
SPAA
2009
ACM
16 years 3 months ago
Classifying peer-to-peer network coding schemes
Modern peer-to-peer file sharing systems distribute large files among peers using block partitioning. Blocks can be redistributed by a peer even before the whole file is available...
Christian Ortolf, Christian Schindelhauer, Arne Va...
116
Voted
KDD
2004
ACM
138views Data Mining» more  KDD 2004»
16 years 3 months ago
IDR/QR: an incremental dimension reduction algorithm via QR decomposition
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Ja...
EDBT
2010
ACM
122views Database» more  EDBT 2010»
15 years 9 months ago
Self-selecting, self-tuning, incrementally optimized indexes
: © Self-selecting, self-tuning, incrementally optimized indexes Goetz Graefe, Harumi Kuno HP Laboratories HPL-2010-24 database index, adaptive, autonomic, query execution In a re...
Goetz Graefe, Harumi A. Kuno