Independent process analysis without a priori dimensional information

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4666 LNCS, Issue , 2007, Pages 252-259

  Póczos, Barnabás ^a   Szabó, Zoltán ^a   Kiszlinger, Melinda ^a   Lorincz, András ^a  

^a EÖTVÖS LORÁND UNIVERSITY   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; PROBLEM SOLVING; RANDOM VARIABLES;

FACIAL COMPONENTS; HIDDEN PROCESSES; INDEPENDENT PROCESS ANALYSIS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 38149101805     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74494-8_32     Document Type: Conference Paper

References (24)

1. Cardoso, J.F.: Multidimensional independent component analysis. In: Proc. of ICASSP, vol. 4, pp. 1941-1944 (1998)
2. Vollgraf, R., Obermayer, K.: Multi-dimensional ICA to separate correlated sources. In: Proc. of NIPS, vol. 14, pp. 993-1000. MIT Press, Cambridge (2001)
3. Stögbauer, H., Kraskov, A., Astakhov, S.A., Grassberger, P.: Least dependent component analysis based on mutual information. Phys. Rev. E, 70 (2004)
4. Bach, F.R., Jordan, M.L: Beyond independent components: Trees and clusters. Journal of Machine Learning Research 4, 1205-1233 (2003)
5. Theis, F.J.: Blind signal separation into groups of dependent signals using joint block diagonalization. In: Proc. of ISCAS, pp. 5878-5881 (2005)
6. Hyvärinen, A., Köster, U.: FastISA: A fast fixed-point algorithm for independent subspace analysis. In: Proc. of ESANN, Evere, Belgium (2006)
7. Nolte, G., Meinecke, F.C., Ziehe, A., Müller, K.R.: Identifying interactions in mixed and noisy complex systems. Physical Review E, 73 (2006)
8. Póczos, B., Lorincz, A.: Independent subspace analysis using geodesic spanning trees. In: Proc. of ICML, pp. 673-680. ACM Press, New York (2005)
9. Hyvärinen, A.: Independent component analysis for time-dependent stochastic processes. In: Proc. of ICANN, pp. 541-546. Springer, Berlin (1998)
10. Póczos, B., Takács, B., Lorincz, A.: Independent subspace analysis on innovations. In: Gama, J., Camacho, R., Brazdil, P.B., Jorge, A.M., Torgo, L. (eds.) ECML 2005. LNCS (LNAI), vol. 3720, pp. 698-706. Springer, Heidelberg (2005)
11. Choi, S., Cichocki, A., Park, H.-M., Lee, S.-Y.: Blind source separation and independent component analysis. Neural Inf. Proc. - Lett. Rev. 6, 1-57 (2005)
12. Mills, T.C.: Time Series Techniques for Economists. Cambridge University Press, Cambridge (1990)
13. Theis, F.J.: Uniqueness of complex and multidimensional independent component analysis. Signal Processing 84(5), 951-956 (2004)
14. Szabó, Z., Póczos, B., Lorincz, A.: Separation theorem for K-independent subspace analysis with sufficient conditions. Technical report (2006), http://arxiv.org/abs/math.ST/0608100
15. Theis, F.J.: Towards a general independent subspace analysis. In: Proc. of NIPS, vol. 19 (2007)
16. Bach, F.R., Jordan, M.I.: Finding clusters in Independent Component Analysis. In: Proc. of ICA2003, pp. 891-896 (2003)
17. Szabó, Z., Póczos, B., Lorincz, A.: Cross-entropy optimization for independent process analysis. In: Rosea, J., Erdogmus, D., Principe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, vol. 3889, pp. 909-916. Springer, Heidelberg (2006)
18. Abed-Meraim, K., Belouchrani, A.: Algorithms for joint block diagonalization. In: Proc. of EUSIPCO, pp. 209-212 (2004)
19. Comon, P.: Independent Component Analysis, a new concept. Signal Processing, Elsevier 36(3), 287-314 (1994) (Special issue on Higher-Order Statistics)
20. Yu, S., Shi, J.: Multiclass spectral clustering. In: Proc. of ICCV (2003)
21. Rajagopal, R., Potter, L.C.: Multivariate MIMO FIR inverses. IEEE Transactions on Image Processing 12, 458-465 (2003)
22. Gorokhov, A., Loubaton, P.: Blind identification of MIMO-FIR systems: A generalized linear prediction approach. Signal Processing 73, 105-124 (1999)
23. Neumaier, A., Schneider, T.: Estimation of parameters and eigenmodes of multivariate autoregressive models. ACM Trans. on Math. Soft. 27(1), 27-57 (2001)
24. Bartlett, M., Movellan, J., Sejnowski, T.: Face recognition by independent component analysis. IEEE Trans. on Neural Networks 13(6), 1450-1464 (2002)