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Volumn 2003-January, Issue , 2003, Pages 315-318

Efficient algorithms for inferences on Grassmann manifolds

Author keywords

Geometry; Geophysics computing; Independent component analysis; Inference algorithms; Linear systems; Manifolds; Sensor arrays; Signal processing; Signal processing algorithms; Stochastic processes

Indexed keywords

ALGORITHMS; AUTOMOBILE ENGINE MANIFOLDS; COMPUTATIONAL EFFICIENCY; GEOMETRY; IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; INFERENCE ENGINES; LINEAR SYSTEMS; OBJECT RECOGNITION; OPTICAL CHARACTER RECOGNITION; OPTIMIZATION; RANDOM PROCESSES; SENSOR ARRAYS; STATISTICAL METHODS; STATISTICS; STOCHASTIC SYSTEMS;

EID: 84948655309     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSP.2003.1289408     Document Type: Conference Paper
Times cited : (106)

References (11)
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  • 5
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    • C. Davis and W. M. Kahan, "The rotation of eigenvectors by a perturbation, III," SIAM J. Numer. Anal., vol. 7, no. 1, pp. 1-46, 1970.
    • (1970) SIAM J. Numer. Anal. , vol.7 , Issue.1 , pp. 1-46
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  • 7
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  • 8
    • 34250230826 scopus 로고
    • Computing the CS decomposition of a partitioned orthonormal matrix
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  • 9
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  • 10
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    • Monte carlo extrinsic estimators for manifold-valued parameters
    • February
    • A. Srivastava and E. Klassen, "Monte carlo extrinsic estimators for manifold-valued parameters," IEEE Trans. on Signal Processing, vol. 50, no. 2, pp. 299-308, February 2001.
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    • Srivastava, A.1    Klassen, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.