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ICASSP
2010
IEEE
15 years 3 months ago
Particle filtering based recovery of noisy GARCH processes
In this paper, we address the problem of enhancement of a noisy GARCH process using a particle filter. We compare our approach experimentally to a previously developed recursive ...
Tomer Michaeli, Israel Cohen
DEXAW
2010
IEEE
196views Database» more  DEXAW 2010»
15 years 3 months ago
Direct Optimization of Evaluation Measures in Learning to Rank Using Particle Swarm
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
Ósscar Alejo, Juan M. Fernández-Luna...
IPMI
2005
Springer
16 years 4 months ago
Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories
Abstract. Most of the approaches dedicated to fiber tracking from diffusionweighted MR data rely on a tensor model. However, the tensor model can only resolve a single fiber orient...
Muriel Perrin, Cyril Poupon, Yann Cointepas, Berna...
IPMI
2007
Springer
16 years 4 months ago
Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging
Modern live cell fluorescence microscopy imaging systems, used abundantly for studying intra-cellular processes in vivo, generate vast amounts of noisy image data that cannot be pr...
Ihor Smal, Katharina Draegestein, Niels Galjart, W...
CEC
2009
IEEE
15 years 10 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang