메뉴 건너뛰기




Volumn , Issue , 2005, Pages 673-680

Independent subspace analysis using geodesic spanning trees

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER MUSIC; ENTROPY; ESTIMATION; INDEPENDENT COMPONENT ANALYSIS;

EID: 31844446803     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1102351.1102436     Document Type: Conference Paper
Times cited : (21)

References (24)
  • 1
    • 0033334292 scopus 로고    scopus 로고
    • MICA: Multimodal independent component analysis
    • Akaho, S., Kiuchi, Y., & Umeyama, S. (1999). MICA: Multimodal independent component analysis. Proc. IJCNN (pp. 927-932).
    • (1999) Proc. IJCNN , pp. 927-932
    • Akaho, S.1    Kiuchi, Y.2    Umeyama, S.3
  • 2
    • 33749754615 scopus 로고    scopus 로고
    • A new learning algorithm for blind source separation
    • Amari, S., Cichocki, A., & Yang, H. (1996). A new learning algorithm for blind source separation. NIPS (pp. 757-763).
    • (1996) NIPS , pp. 757-763
    • Amari, S.1    Cichocki, A.2    Yang, H.3
  • 3
    • 0011812771 scopus 로고    scopus 로고
    • Kernel independent component analysis
    • Bach, F. R., & Jordan, M. I. (2002). Kernel independent component analysis. JMLR, 3, 1-48.
    • (2002) JMLR , vol.3 , pp. 1-48
    • Bach, F.R.1    Jordan, M.I.2
  • 4
    • 31844456160 scopus 로고    scopus 로고
    • Finding clusters in independent component analysis
    • Bach, F. R., & Jordan, M. I. (2003). Finding clusters in independent component analysis. Fourth Int. Symp. on ICA and BSS (pp. 891-896).
    • (2003) Fourth Int. Symp. on ICA and BSS , pp. 891-896
    • Bach, F.R.1    Jordan, M.I.2
  • 5
    • 57649133835 scopus 로고
    • The minimal spanning tree for nonparametric regression and structure discovery
    • Banks, D., Lavine, M., & Newton, H. J. (1992). The minimal spanning tree for nonparametric regression and structure discovery. Comput. Sci. and Stat., 24, 370-374.
    • (1992) Comput. Sci. and Stat. , vol.24 , pp. 370-374
    • Banks, D.1    Lavine, M.2    Newton, H.J.3
  • 6
    • 0029411030 scopus 로고
    • An information maximisation approach to blind separation and blind deconvolution
    • Bell, A. J., & Sejnowski, T. J. (1995). An information maximisation approach to blind separation and blind deconvolution. Neural Comp., 7, 1129-1159.
    • (1995) Neural Comp. , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 7
    • 0030832881 scopus 로고    scopus 로고
    • The 'independent components' of natural scenes are edge filters
    • Bell, A. J., & Sejnowski, T. J. (1997). The 'independent components' of natural scenes are edge filters. Vision Research, 37, 3327-3338.
    • (1997) Vision Research , vol.37 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 8
    • 0031645454 scopus 로고    scopus 로고
    • Multidimensional independent component analysis
    • Cardoso, J. (1998). Multidimensional independent component analysis. Proc. ICASSP'98, Seattle, WA.
    • (1998) Proc. ICASSP'98, Seattle, WA
    • Cardoso, J.1
  • 9
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • Comon, P. (1994). Independent component analysis, a new concept? Signal Proc., 36, 287-314.
    • (1994) Signal Proc. , vol.36 , pp. 287-314
    • Comon, P.1
  • 10
    • 3543131272 scopus 로고    scopus 로고
    • Geodesic entropic graphs for dimension and entropy estimation in manifold learning
    • Costa, J. A., & Hero, A. O. (2004). Geodesic entropic graphs for dimension and entropy estimation in manifold learning. IEEE Trans. on Signal Proc., 52, 2210-2221.
    • (2004) IEEE Trans. on Signal Proc. , vol.52 , pp. 2210-2221
    • Costa, J.A.1    Hero, A.O.2
  • 12
    • 0010485985 scopus 로고    scopus 로고
    • Robust entropy estimation strategies based on edge weighted random graphs
    • San Diego, CA
    • Hero, A., & Michel, O. (1998). Robust entropy estimation strategies based on edge weighted random graphs. Proc. SPIE98 (pp. 250-261). San Diego, CA.
    • (1998) Proc. SPIE98 , pp. 250-261
    • Hero, A.1    Michel, O.2
  • 13
    • 0035369829 scopus 로고    scopus 로고
    • Blind source separation using Renyi's mutual information
    • Hild, K. E., Erdogmus, D., & Príncipe, J. (2001). Blind source separation using Renyi's mutual information. IEEE Signal Proc. Letters, 8, 174-176.
    • (2001) IEEE Signal Proc. Letters , vol.8 , pp. 174-176
    • Hild, K.E.1    Erdogmus, D.2    Príncipe, J.3
  • 15
    • 0348223982 scopus 로고    scopus 로고
    • Sparse code shrinkage: Denoising of nongaussian data by maximum likelihood estimation
    • Hyvärinen, A. (1999). Sparse code shrinkage: Denoising of nongaussian data by maximum likelihood estimation. Neural Comp., 11, 1739-1768.
    • (1999) Neural Comp. , vol.11 , pp. 1739-1768
    • Hyvärinen, A.1
  • 16
    • 0034222304 scopus 로고    scopus 로고
    • Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces
    • Hyvärinen, A., & Hoyer, P. (2000). Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces. Neural Comp., 12, 1705-1720.
    • (2000) Neural Comp. , vol.12 , pp. 1705-1720
    • Hyvärinen, A.1    Hoyer, P.2
  • 17
    • 0026191274 scopus 로고
    • Blind separation of sources: An adaptive algorithm based on neuromimetic architecture
    • Jutten, C., & Herault, J. (1991). Blind separation of sources: An adaptive algorithm based on neuromimetic architecture. Signal Proc., 24, 1-10.
    • (1991) Signal Proc. , vol.24 , pp. 1-10
    • Jutten, C.1    Herault, J.2
  • 18
    • 0001223721 scopus 로고    scopus 로고
    • Independent component analysis for parallel financial time series
    • Kiviluoto, K., & Oja, E. (1998). Independent component analysis for parallel financial time series. Proc. ICONIP'98 (pp. 895-898).
    • (1998) Proc. ICONIP'98 , pp. 895-898
    • Kiviluoto, K.1    Oja, E.2
  • 19
    • 8344261659 scopus 로고    scopus 로고
    • ICA using spacings estimates of entropy
    • Learned-Miller, E. G., & Fisher, J. W. (2003). ICA using spacings estimates of entropy. JMLR, 4, 1271-1295.
    • (2003) JMLR , vol.4 , pp. 1271-1295
    • Learned-Miller, E.G.1    Fisher, J.W.2
  • 20
    • 85078284647 scopus 로고    scopus 로고
    • Independent component analysis of electroencephalographic data
    • Makeig, S., Bell, A. J., Jung, T. P., & Sejnowski, T. J. (1996). Independent component analysis of electroencephalographic data. NIPS (pp. 145-151).
    • (1996) NIPS , pp. 145-151
    • Makeig, S.1    Bell, A.J.2    Jung, T.P.3    Sejnowski, T.J.4
  • 21
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J. B., de Silva, V., & Langford., J. C. (2000). A global geometric framework for nonlinear dimensionality reduction. Science, 290, 626-634.
    • (2000) Science , vol.290 , pp. 626-634
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 22
    • 84898962644 scopus 로고    scopus 로고
    • Independent component analysis for identification of artifacts in magnetoencephalographic recordings
    • Vigário, R., Jousmaki, V., Hamalainen, M., Hari, R., & Oja, E. (1998). Independent component analysis for identification of artifacts in magnetoencephalographic recordings. NIPS (pp. 229-235).
    • (1998) NIPS , pp. 229-235
    • Vigário, R.1    Jousmaki, V.2    Hamalainen, M.3    Hari, R.4    Oja, E.5
  • 23
    • 31844444214 scopus 로고    scopus 로고
    • Multi-dimensional ICA to separate correlated sources
    • Vollgraf, R., & Obermayer, K. (2001). Multi-dimensional ICA to separate correlated sources. NIPS (pp. 993-1000).
    • (2001) NIPS , pp. 993-1000
    • Vollgraf, R.1    Obermayer, K.2
  • 24
    • 0004034109 scopus 로고    scopus 로고
    • Probability theory of classical euclidean optimization problems. Springer-Verlag, Berlin
    • Yukich, J. E. (1998). Probability theory of classical euclidean optimization problems, vol. 1675 of Lecture Notes in Math. Springer-Verlag, Berlin.
    • (1998) Lecture Notes in Math , vol.1675
    • Yukich, J.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.