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Volumn 12, Issue , 2011, Pages 3065-3069

The stationary subspace analysis toolbox

Author keywords

Blind source separation; Dimensionality reduction; Non stationarities; Unsupervised learning

Indexed keywords

COMMAND LINE; DIMENSIONALITY REDUCTION; GRAPHICAL INTERFACE; HIGH-DIMENSIONAL; NON-STATIONARITIES; NONSTATIONARY; SUBSPACE ANALYSIS; WHOLE PROCESS;

EID: 80555154400     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (16)

References (7)
  • 1
    • 80555135299 scopus 로고    scopus 로고
    • Mikio Braun, Johannes Schaback, Jan Saputra Mueller, and Matthias Jugel. jblas, 2010
    • Mikio Braun, Johannes Schaback, Jan Saputra Mueller, and Matthias Jugel. jblas, 2010. http://mloss.org/software/view/180/.
  • 3
    • 79959326722 scopus 로고    scopus 로고
    • An information geometrical view of stationary subspace analysis
    • of Lecture Notes in Computer Science, Springer Berlin/Heidelberg, 2011. URL
    • Motoaki Kawanabe, Wojciech Samek, Paul von Bünau, and Frank Meinecke. An information geometrical view of stationary subspace analysis. In Artificial Neural Networks and Machine Learning ICANN 2011, volume 6792 of Lecture Notes in Computer Science, pages 397-404. Springer Berlin/Heidelberg, 2011. URL http://dx.doi.org/10.1007/978-3-642-21738-8-51.
    • Artificial Neural Networks and Machine Learning ICANN 2011 , vol.6792 , pp. 397-404
    • Kawanabe, M.1    Samek, W.2    Von Bünau, P.3    Meinecke, F.4
  • 6
    • 70450167506 scopus 로고    scopus 로고
    • Finding stationary subspaces in multivariate time series
    • Nov, doi: 10.1103/PhysRevLett.103.214101
    • Paul von Bünau, Frank C. Meinecke, Franz J. Király, and Klaus-Robert Müller. Finding stationary subspaces in multivariate time series. Phys. Rev. Lett., 103(21):214101, Nov. 2009. doi: 10.1103/PhysRevLett. 103.214101.
    • (2009) Phys. Rev. Lett. , vol.103 , Issue.21 , pp. 214101
    • Von Bünau, P.1    Meinecke, F.C.2    Király, F.J.3    Müller, K.-R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.