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» Practical Preference Relations for Large Data Sets
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162
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SIGMOD
2010
ACM
267views Database» more  SIGMOD 2010»
15 years 9 months ago
Processing proximity relations in road networks
Applications ranging from location-based services to multi-player online gaming require continuous query support to monitor, track, and detect events of interest among sets of mov...
Zhengdao Xu, Hans-Arno Jacobsen
128
Voted
ICCSA
2003
Springer
15 years 10 months ago
Robust Speaker Recognition Against Utterance Variations
A speaker model in speaker recognition system is to be trained from a large data set gathered in multiple sessions. Large data set requires large amount of memory and computation, ...
JongJoo Lee, JaeYeol Rheem, Ki Yong Lee
SSPR
1998
Springer
15 years 9 months ago
Distribution Free Decomposition of Multivariate Data
: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...
Dorin Comaniciu, Peter Meer
175
Voted
BMCBI
2008
136views more  BMCBI 2008»
15 years 5 months ago
GPAT: Retrieval of genomic annotation from large genomic position datasets
Background: Recent genome wide transcription factor binding site or chromatin modification mapping analysis techniques, such as chromatin immunoprecipitation (ChIP) linked to DNA ...
Arnaud Krebs, Mattia Frontini, Làszlò...
JMLR
2006
156views more  JMLR 2006»
15 years 4 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...