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Volumn , Issue , 2012, Pages 724-727

Subspace detection of high-dimensional vectors using compressive sampling

Author keywords

compressed sensing; subspace detection

Indexed keywords

BRAIN ACTIVATION; COMPRESSIVE SAMPLING; COMPRESSIVE SENSING; FEATURE VECTORS; HIGH-DIMENSIONAL; LINEAR COMBINATIONS; LOWER BOUNDS; OBJECT OF INTERESTS; PROBABILITY OF ERRORS; SUBSPACE DETECTION;

EID: 84868253754     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSP.2012.6319805     Document Type: Conference Paper
Times cited : (8)

References (15)
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    • Haupt, J.1    Nowak, R.2
  • 9
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    • High dimensional matched subspace detection when data are missing
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  • 11
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.