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» Tackling Large State Spaces in Performance Modelling
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ICASSP
2009
IEEE
14 years 3 months ago
Multi-channel audio segmentation for continuous observation and archival of large spaces
In most real-world situations, a single microphone is insufficient for the characterization of an entire auditory scene. This often occurs in places such as office environments ...
Gordon Wichern, Harvey D. Thornburg, Andreas Spani...
TKDE
2008
105views more  TKDE 2008»
13 years 8 months ago
Evolutionary Optimization of File Assignment for a Large-Scale Video-on-Demand System
We present a genetic algorithm for tackling a file assignment problem for a large-scale video-on-demand system. The file assignment problem is to find the optimal replication and a...
Jun Guo, Yi Wang, Kit-Sang Tang, Sammy Chan, Eric ...
SPIN
2010
Springer
13 years 6 months ago
Efficient Explicit-State Model Checking on General Purpose Graphics Processors
We accelerate state space exploration for explicit-state model checking by executing complex operations on the graphics processing unit (GPU). In contrast to existing approaches en...
Stefan Edelkamp, Damian Sulewski
ALT
2003
Springer
14 years 5 months ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
14 years 9 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger