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» Approximate data mining in very large relational data
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VLDB
2005
ACM
115views Database» more  VLDB 2005»
15 years 10 months ago
KLEE: A Framework for Distributed Top-k Query Algorithms
This paper addresses the efficient processing of top-k queries in wide-area distributed data repositories where the index lists for the attribute values (or text terms) of a query...
Sebastian Michel, Peter Triantafillou, Gerhard Wei...
ICCS
2003
Springer
15 years 9 months ago
Exploiting Stability to Reduce Time-Space Cost for Memory Tracing
Memory traces record the addresses touched by a program during its execution, enabling many useful investigations for understanding and predicting program performance. But complete...
Xiaofeng Gao, Allan Snavely
ICML
2008
IEEE
16 years 5 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona
ICA
2004
Springer
15 years 9 months ago
Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening
We treat the problem of Blind Deconvolution of Single Input - Single Output (SISO) systems with real or complex binary sources. We explicate the basic mathematical idea by focusing...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
ISMIR
2004
Springer
124views Music» more  ISMIR 2004»
15 years 9 months ago
Eigenrhythms: Drum pattern basis sets for classification and generation
We took a collection of 100 drum beats from popular music tracks and estimated the measure length and downbeat position of each one. Using these values, we normalized each pattern...
Dan Ellis, John Arroyo