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Volumn 6443 LNCS, Issue PART 1, 2010, Pages 422-429

Stationary subspace analysis as a generalized eigenvalue problem

Author keywords

Dimensionality Reduction; Eigenvalue Problem; Feature Extraction; Non stationarity; Stationary Subspace Analysis

Indexed keywords

DATA ANALYSIS; DIMENSIONALITY REDUCTION; DOMAIN ADAPTATION; EIGENVALUE PROBLEM; EXISTING METHOD; GENERALIZED EIGENVALUE PROBLEMS; IDENTIFIABILITY; MULTIPLE TIME SERIES; MULTIVARIATE DATA; NON-STATIONARITIES; NON-STATIONARY EFFECTS; NON-STATIONARY SOURCES; NONSTATIONARY; OPTIMAL SOLUTIONS; STATIONARY SOURCES; SUBSPACE ANALYSIS;

EID: 78650224631     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17537-4_52     Document Type: Conference Paper
Times cited : (18)

References (11)
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    • Cohen, L.1    Ayrahami-Bakish, G.2    Last, M.3    Kandel, A.4    Kipersztok, O.5
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    • Improving predictive inference under covariate shift by weighting the log-likelihood function
    • Shimodaira, H.: Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference 90(2), 227-244 (2000)
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    • Shimodaira, H.1
  • 11
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.