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TASLP
2010
109views more  TASLP 2010»
13 years 8 months ago
Model-Based Expectation-Maximization Source Separation and Localization
Abstract—This paper describes a system, referred to as modelbased expectation-maximization source separation and localization (MESSL), for separating and localizing multiple soun...
Michael I. Mandel, Ron J. Weiss, Daniel P. W. Elli...
DAGM
2010
Springer
13 years 6 months ago
A Model-Based Approach to the Segmentation of Nasal Cavity and Paranasal Sinus Boundaries
We present a model-driven approach to the segmentation of nasal cavity and paranasal sinus boundaries. Based on computed tomography data of a patients head, our approach aims to ex...
Carsten Last, Simon Winkelbach, Friedrich M. Wahl,...
SIGIR
2009
ACM
14 years 4 months ago
Approximating true relevance distribution from a mixture model based on irrelevance data
Pseudo relevance feedback (PRF), which has been widely applied in IR, aims to derive a distribution from the top n pseudo relevant documents D. However, these documents are often ...
Peng Zhang, Yuexian Hou, Dawei Song
ECAL
2005
Springer
14 years 3 months ago
Simulating Evolution with a Computational Model of Embryogeny: Obtaining Robustness from Evolved Individuals
Abstract. An evolutionary system is presented which employs an embryogeny model to evolve phenotypes in the form of layout of cells in specific patterns and shapes. It is shown th...
Chris P. Bowers
JORS
2011
67views more  JORS 2011»
13 years 4 months ago
Robust parameter design optimization of simulation experiments using stochastic perturbation methods
Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simula...
A. K. Miranda, E. Del Castillo