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Volumn , Issue , 2012, Pages 11-20

Finding correlations in subquadratic time, with applications to learning parities and juntas

Author keywords

closest pair; Correlation; learning juntas; learning parity with noise; locality sensitive hashing; metric embedding; nearest neighbor

Indexed keywords

CLOSEST PAIR; LEARNING JUNTAS; LEARNING PARITY WITH NOISE; LOCALITY SENSITIVE HASHING; METRIC EMBEDDINGS; NEAREST NEIGHBORS;

EID: 84871971939     PISSN: 02725428     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FOCS.2012.27     Document Type: Conference Paper
Times cited : (72)

References (20)
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  • 4
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    • Blum, A.1    Kalai, A.2    Wasserman, H.3
  • 5
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    • Coppersmith, D.1
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    • 84871953843 scopus 로고    scopus 로고
    • Bucketing coding and information theory for the statistical high dimensional nearest neighbor problem
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    • Dubiner, M.1
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    • Hopper, N.J.1    Blum, A.2
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    • The parity problem in the presence of noise, decoding random linear codes, and the subset sum problem
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    • Lyubashevsky, V.1
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    • Positive definite functions on spheres
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    • Learning DNF under the uniform distribution in quasipolynomial time
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.