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» Using State Modules for Adaptive Query Processing
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JUCS
2006
185views more  JUCS 2006»
13 years 7 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
ICASSP
2011
IEEE
12 years 11 months ago
Hierarchical audio classification using cepstral modulation ratio regressions based on Legendre polynomials
In this work we present a scalable feature set which is obtained by fitting orthogonal polynomials to the normalized modulation spectrum of cepstral coefficients and which can b...
Anil M. Nagathil, Peter Gottel, Rainer Martin
SIGMOD
2004
ACM
126views Database» more  SIGMOD 2004»
14 years 7 months ago
StreaMon: An Adaptive Engine for Stream Query Processing
StreaMon is the adaptive query processing engine of the STREAM prototype Data Stream Management System (DSMS) [4]. A fundamental challenge in many DSMS applications (e.g., network...
Shivnath Babu, Jennifer Widom
DMG
2005
Springer
14 years 1 months ago
Adapting to Changing Resource Performance in Grid Query Processing
The Grid provides facilities that support the coordinated use of diverse resources, and consequently, provides new opportunities for wide-area query processing. However, Grid resou...
Anastasios Gounaris, Jim Smith, Norman W. Paton, R...
EDBT
2010
ACM
141views Database» more  EDBT 2010»
14 years 9 days ago
Adaptive join processing in pipelined plans
In adaptive query processing, the way in which a query is evaluated is changed in the light of feedback obtained from the environment during query evaluation. Such feedback may, f...
Kwanchai Eurviriyanukul, Norman W. Paton, Alvaro A...