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Volumn , Issue , 2008, Pages 471-479

Cut-and-stitch: Efficient parallel learning of linear dynamical systems on smps

Author keywords

Expectation Maximization (EM); Kalman Filters; Linear dynamical systems; Multi core; OpenMP; Optimization

Indexed keywords

CHAIN STRUCTURES; DATA DEPENDENCIES; DATA MINING ALGORITHMS; EXPECTATION MAXIMIZATION (EM); HIDDEN VARIABLES; LINEAR DYNAMICAL SYSTEMS; LINEAR SPEED-UP; LINEAR STRUCTURES; MOTION CAPTURES; MULTI PROCESSORS; MULTI-CORE; MULTI-CORE PROCESSORS; NOVEL METHODS; OPENMP; PARALLEL COMPUTING; PARALLEL LEARNING; SPEED-UP; VISUAL TRACKING;

EID: 65449154410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1401890.1401949     Document Type: Conference Paper
Times cited : (5)

References (13)
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    • Evaluating mapreduce for multi-core and multiprocessor systems
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    • C Ranger, R. Raghuraman, A. Penmetsa, G. Bradski, and C Kozyrakis. Evaluating mapreduce for multi-core and multiprocessor systems. In HPCA '07, pages 13-24. IEEE Computer Society, 2007.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.