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A Bayesian approach to geometric subspace estimation

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Publication:2734333
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DOI10.1109/78.839985zbMath1035.94003OpenAlexW2140710100MaRDI QIDQ2734333

Anuj Strivastava

Publication date: 2000

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/84d849d34c677632f073f6ea3848a89dbe9cf9ab


zbMATH Keywords

Monte Carlo samplingGrassman manifoldsubspace estimation


Mathematics Subject Classification ID

Discrete event control/observation systems (93C65) Identification in stochastic control theory (93E12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)


Related Items (4)

Bayesian point estimation of the cointegration space ⋮ Welcome to Riemannian Computing in Computer Vision ⋮ Bayesian and geometric subspace tracking ⋮ Jump-diffusion Markov processes on orthogonal groups for object pose estimation







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