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» Means, Correlations and Bounds
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CORR
2010
Springer
96views Education» more  CORR 2010»
15 years 16 days ago
Rate-distortion function via minimum mean square error estimation
Abstract—We derive a simple general parametric representation of the rate–distortion function of a memoryless source, where both the rate and the distortion are given by integr...
Neri Merhav
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 11 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 2 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
JMLR
2010
140views more  JMLR 2010»
14 years 8 months ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman
IPPS
1994
IEEE
15 years 6 months ago
Parallel Evaluation of a Parallel Architecture by Means of Calibrated Emulation
A parallel transputer-based emulator has been developed to evaluate the DDM--ahighlyparallel virtual shared memory architecture. The emulator provides performance results of a har...
Henk L. Muller, Paul W. A. Stallard, David H. D. W...