Startseite UB

Browse by Institutions of the University

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Date | Creators | Keywords | Item Type | No Grouping
Number of items at this level: 38.

Blöchl, Florian (2011) Integrating machine learning approaches into network science: exemplary applications and novel algorithms. PhD, Universität Regensburg

Lang, Elmar and Schachtner, R. and Lutter, D. and Herold, Daniela and Kodewitz, A. and Blöchl, FJ and Keck and Theis, Fabian J. and Keck, Ingo R. and Gorriz, J. M. and Gomez-Vilda, P. and Tome, A. M. (2011) Exploratory Matrix Factorization Techniques for Large Scale Biomedical Data Sets. In: UNSPECIFIED Bentham Science Publishers, Hilversum, pp. 26-47. ISBN 978-1-60805-218-9.

Lutter, Dominik Ralph Lionel (2010) Towards the identification of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome. PhD, Universität Regensburg

Theis, Fabian J. and Gruber, P. (2005) On model identifiability in analytic postnonlinear ICA. Neurocomputing 64, pp. 223-234.

Georgiev, P. and Theis, Fabian J. and Cichocki, A. (2005) Sparse Component Analysis and Blind Source Separation of Underdetermined Mixtures. IEEE Transactions on Neural Networks 16 (4), pp. 992-996.

Keck, I. and Theis, Fabian J. and Gruber, P. and Lang, Elmar and Specht, K. and Puntonet, Carlos G. (2004) 3D Spatial Analysis of fMRI Data - a Comparison of ICA and GLM Analysis on a Word Perception Task. In: Proceedings / 2004 IEEE International Joint Conference on Neural Networks (IJCNN): Budapest, Hungary, 25 - 29 July 2004. IEEE Service Center, Piscataway, NJ, pp. 2495-2500. ISBN 0-7803-8359-1.

Keck, I. R. and Theis, Fabian J. and Gruber, Peter and Lang, Elmar and Specht, K. and Puntonet, Carlos G. (2004) 3D spatial analysis of fMRI data on a word perception task. In: Puntonet, Carlos G., (ed.) Independent component analysis and blind signal separation: fifth international conference, ICA 2004, Granada, Spain, September 22 - 24, 2004; proceedings. Lecture Notes in Computer Science, 3195. Springer, Berlin, pp. 977-984. ISBN 3-540-23056-4, 978-3-540-23056-4.

Georgiev, P. and Pardalos, P. and Theis, F. and Cichocki, A. (2004) A Bilinear Algorithm for Sparse Representations. UNSPECIFIED, Como, Italy.

Theis, Fabian J. and Lang, Elmar and Puntonet, Carlos G. (2004) A Geometric Algorithm for Overcomplete Linear ICA. Neurocomputing 56, pp. 381-398.

Theis, Fabian J. (2004) A new concept for separability problems in blind source separation. Neural Computation 16, pp. 1827-1850.

Theis, Fabian J. and Kohl, Z. and Kuhn, H. and Stockmeier, H. and Lang, Elmar (2004) Automated counting of labelled cells in rodent brain section images. In: Tilg, B., (ed.) Proceedings of the Second IASTED International Conference on Biomedical Engineering: February 16 - 18, 2004, Innsbruck, Austria. Acta Press, Anaheim, pp. 209-212. ISBN 0-88986-408-X.

Gruber, Peter and Theis, Fabian J. and Tomé, A. M. and Lang, Elmar (2004) Automatic Denoising using Local Independent Component Analysis. In: Fourth International ICSC Symposium on Engineering of Intelligent Systems, EIS 2004: University of Madeira, Funchal, Portugal, February 29 - March 2, 2004; proceedings. ICSC Interdisciplinary Research Canada, Millet, Alberta. ISBN 3-906454-35-5.

Theis, Fabian J. and Puntonet, Carlos G. (2004) BSS-ICA basado en Métodos Geométricos (Monografía del Dpto. de Arquitectura y Tecnología de Computadores). UNSPECIFIED.

Theis, Fabian J. (2004) Blind sensor characteristics estimation in a multi-sensor network applied to fMRI analysis. In: Palaniswami , M., (ed.) Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP, 2004: 14 - 17 Dec. 2004, Melbourne, Australia. IEEE Operations Center, Piscataway, NJ, pp. 223-228. ISBN 0-7803-8894-1(elektron. Ausgabe).

Theis, Fabian J. and Georgiev, P. and Cichocki, A. (2004) Blind source recovery: algorithm comparison and fusion. In: Proceedings: Bayesian inference and maximum entropy methods in science and engineering (MaxEnt): 24th internat. workshop, Garching, Germany, 25 - 30 July 2004. AIP conference proceedings, 735. American Institute of Physics, Garching, Germany, pp. 320-327. ISBN 0-7354-0217-5 .

Georgiev, P. and Theis, Fabian J. and Cichocki, A. (2004) Blind source separation and sparse component analysis of overcomplete mixtures. In: Proceedings / 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, May 17 - 21, 2004, Montreal, Quebec, Canada. IEEE Operations Center, Piscataway, NJ, pp. 493-496. ISBN 0-7803-8484-9.

Georgiev, P. and Theis, F. (2004) Blind source separation of linear mixtures with singular matrices. In: Puntonet, Carlos G., (ed.) Independent component analysis and blind signal separation: fifth international conference, ICA 2004, Granada, Spain, September 22 - 24, 2004; proceedings. Lecture Notes in Computer Science, 3195. Springer, Berlin, pp. 121-128.

Stockmeier, H. and Bäumler, W. and Szeimies, R. and Theis, Fabian J. and Lang, Elmar and Puntonet, Carlos G. (2004) Classification of skin lesions by fluorscence diagnosis and independent component analysis. In: Proceedings of the 2nd IASTED International Conference on Biomedical Engineering: February 16 - 18, 2004, Innsbruck, Austria. Acta Press, Anaheim, pp. 201-204. ISBN 0-88986-408-X.

Meyer-Bäse, A. and Theis, F. and Lange, O. and Wismüller, A. (2004) Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection. UNSPECIFIED, Budapest, Hungary, pp. 1947-1952.

Theis, Fabian J. and Gruber, Peter and Puntonet, Carlos G. and Lang, Elmar (2004) Connecting geometric independent component analysis to unsupervised learning algorithms. In: Fourth International ICSC Symposium on Engineering of Intelligent Systems, EIS 2004: University of Madeira, Funchal, Portugal, February 29 - March 2, 2004; proceedings. ICSC Interdisciplinary Research Canada, Millet, Alberta. ISBN 3-906454-35-5.

Gruber, P. and Theis, Fabian J. and Stadlthanner, K. and Lang, Elmar and Tomé, A. and Teixeira, A. (2004) Denoising using local ICA and Kernel-PCA. In: Proceedings / 2004 IEEE International Joint Conference on Neural Networks (IJCNN): Budapest, Hungary, 25 - 29 July 2004. IEEE Service Center, Piscataway, NJ, pp. 2071-2076. ISBN 0-7803-8359-1.

Gruber, P. and Stadlthanner, K. and Tomé, A. and Teixeira, A. and Theis, Fabian J. and Puntonet, Carlos G. and Lang, Elmar (2004) Denoising using local ICA and a generalized eigendecomposition with time-delayed signals. In: Puntonet, Carlos G., (ed.) Independent component analysis and blind signal separation: fifth international conference, ICA 2004, Granada, Spain, September 22 - 24, 2004; proceedings. Lecture Notes in Computer Science, 3195. Springer, Berlin, pp. 993-1000.

Theis, Fabian J. and Lang, Elmar (2004) Information-theoretic biomedical data analysis. In: Symposium Medizin und Physik, Regensburg, Germany.

Stadlthanner, K. and Lang, Elmar and Gruber, P. and Theis, Fabian J. and Tomé, A. and Teixeira, A. and Puntonet, Carlos G. (2004) Kernel-PCA Denoising of Artifact-free Protein NMR Spectra. In: Proceedings / 2004 IEEE International Joint Conference on Neural Networks (IJCNN): Budapest, Hungary, 25 - 29 July 2004. IEEE Service Center, Piscataway, NJ, pp. 1959-1964. ISBN 0-7803-8359-1.

Theis, Fabian J. and Lang, Elmar (2004) Linearization identification and an application to BSS using a SOM. In: Verleysen, Michel, (ed.) Proceedings / 12th European Symposium on Artificial Neural Networks, ESANN 2004: Bruges, Belgium, April 28 - 30, 2004. d-side, Evere, Belgium, pp. 205-210. ISBN 2-930307-04-8.

Krause, A. and Hartl, D. and Theis, Fabian J. and Stangl, M. and Gerauer, K. and Mehlhorn, A. (2004) Mobile decision support for transplantation patient data. International Journal of Medical Informatics 73, pp. 461-464.

Georgiev, P. and Theis, Fabian J. and Cichocki, A. (2004) Optimization Algorithms for Sparse Representations and Applications. In: Proc. of Multiscale Optimization Methods. , Gainesville, Florida, USA.

Theis, Fabian J. and Lang, Elmar (2004) Postnonlinear Blind Source Separation via Linearization Identification. In: Proceedings / 2004 IEEE International Joint Conference on Neural Networks (IJCNN): Budapest, Hungary, 25 - 29 July 2004. IEEE Service Center, Piscataway, NJ, pp. 2199-2204. ISBN 0-7803-8359-1.

Theis, Fabian J. and Amari, S. (2004) Postnonlinear overcomplete blind source separation using sparse sources. In: Puntonet, Carlos G., (ed.) Independent component analysis and blind signal separation: fifth international conference, ICA 2004, Granada, Spain, September 22 - 24, 2004; proceedings. Lecture Notes in Computer Science, 3195. Springer, Berlin, pp. 718-725. ISBN 3-540-23056-4, 978-3-540-23056-4.

Theis, F. and Nakamura, W. (2004) Quadratic independent component analysis. IEICE transactions. E, English transactions. A, Fundamentals of electronics, communications and computer sciences E87-A (9), pp. 2355-2363.

Theis, Fabian J. and Georgiev, P. and Cichocki, A. (2004) Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform. In: Verleysen, Michel, (ed.) Proceedings / 12th European Symposium on Artificial Neural Networks, ESANN 2004: Bruges, Belgium, April 28 - 30, 2004. d-side, Evere, Belgium, pp. 343-348. ISBN 2-930307-04-8.

Theis, Fabian J. and Meyer-Bäse, A. and Lang, Elmar (2004) Second-order blind source separation based on multi-dimensional autocovariances. In: Puntonet, Carlos G., (ed.) Independent component analysis and blind signal separation: fifth international conference, ICA 2004, Granada, Spain, September 22 - 24, 2004; proceedings. Lecture Notes in Computer Science, 3195. Springer, Berlin, pp. 726-733. ISBN 3-540-23056-4, 978-3-540-23056-4.

Theis, Fabian J. and Gruber, Peter (2004) Separability of analytic postnonlinear blind source separation with bounded sources. In: Verleysen, Michel, (ed.) Proceedings / 12th European Symposium on Artificial Neural Networks, ESANN 2004: Bruges, Belgium, April 28 - 30, 2004. d-side, Evere, Belgium, pp. 217-222. ISBN 2-930307-04-8.

Georgiev, P. and Theis, Fabian J. and Ralescu, A. (2004) Sparse Representation of Data and Support Vector Machines (in: Proceedings). In: Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 2004, Perugia, Italy.

Karvanen, J. and Theis, Fabian J. (2004) Spatial ICA of fMRI data in time windows. In: Proceedings: Bayesian inference and maximum entropy methods in science and engineering: 24th internat. workshop, Garching, Germany, 25 - 30 July 2004. AIP conference proceedings, 735. American Institute of Physics, Melville, NY, pp. 312-319. ISBN 0-7354-0217-5.

Meyer-Bäse, A. and Theis, F. and Lange, O. and Puntonet, C. (2004) Tree–dependent and topographic independent component analysis for fMRI analysis. UNSPECIFIED, Granada, Spain, pp. 782-789.

Theis, Fabian J. (2004) Uniqueness of complex and multidimensional independent component analysis. Signal Processing 84 (5), pp. 951-956.

Theis, F. (2004) Uniqueness of real and complex linear independent component analysis revisited. In: Hlawatsch, Franz, (ed.) Proceedings / XII. European Signal Processing Conference, EUSIPCO 2004: September 6 - 10, 2004, Vienna, Austria. TU Wien, Wien, pp. 1705-1708. ISBN 3-200-00148-8 (Buch), 3-200-00165-8 (CD-ROM).

This list was generated on Sun Nov 23 00:52:10 2014 CET.
  1. University

University Library

Publication Server

Contact person
Gernot Deinzer

Telefon 0941 943-2759
Contact