Sparse coding neural gas for analysis of nuclear magnetic resonance spectroscopy

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2008, Pages 620-625

  Schleif, Frank Michael ^a   Ongyerth, Matthias ^a   Villmann, Thomas ^a  

^a UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

Data analysis; Nuclear magnetic resonance; Sparse coaing

Indexed keywords

ATOMS; CHLORINE COMPOUNDS; MAGNETIC FIELDS; MAGNETIC RESONANCE; MAGNETIC RESONANCE SPECTROMETERS; MAGNETIC RESONANCE SPECTROSCOPY; NUCLEAR MAGNETIC RESONANCE; PARTICLE DETECTORS; PROGRAMMING THEORY; RESONANCE; STANDARDS; TECHNICAL PRESENTATIONS;

ALTERNATIVE APPROACH; COMPUTER-BASED MEDICAL SYSTEMS; DATA ANALYSIS; FUZZY CLASSIFICATION SYSTEMS; INTERNATIONAL SYMPOSIUM; NEURAL GAS; RESONANCE SPECTROSCOPY; SPARSE COAING; SPARSE CODING; SPECTRAL DATA; SUB-PATTERNS;

NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY;

EID: 51849129606     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2008.39     Document Type: Conference Paper

References (17)

1. David Chang, Cory D. Banack, and Sirish L. Shah. Robust baseline correction algorithm for signal dense nmr spectra. Journal of Magnetic Resonance, 187(2):288-292, 2007.
2. Li Chen, Zhiqiang Weng an Laiyoong Goh, and Marc Garland. An efficient algorithm for automatic phase correction of nmr spectra based on entropy minimization. Journal of Magnetic Resonance, 158(1-2):164-168, 2002.
3. M. Cross, R. Alt, and D. Niederwieser. The case for a metabolic stem cell niche. Cells Tissues Organs, in press, 2008.
4. S. W. Homans. A dictionary of concepts in NMR. Clarendon Press, Oxford, 1992.
5. Teuvo Kohonen. Self-Organizing Maps, volume 30 of Springer Series in Information Sciences. Springer, Berlin, Heidelberg, 1995. (Second Extended Edition 1997).
6. H.J. Kushner and D.S. Clark. Stochastic Appproximation Methods for Constrained and Unconstrained Systems. Springer-Verlag, New York, 1978.
7. K. Labusch, E. Barth, and T. Martinets. Learning data representations with sparse coding neural gas. In M. Verleysen, editor, Proceedings of the European Symposium on Artificial Neural Networks ESANN, page in press, d-side publications, 2008.
8. Thomas M. Martinetz, Stanislav G. Berkovich, and Klaus J. Schulten. 'Neural-gas' network for vector quantization and its application to timeseries prediction. IEEE Trans. on Neural Networks, 4(4):558-569, 1993.
9. E. Oja. Neural networks, principle components and suspaces. International Journal of Neural Systems, 1:61-68, 1989.
10. B. Olshausen and D. Field. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Letters to Nature, 381:607-609, 1996.
11. T.H. Park. Towards Automatic Musical Instrument Timbre Recognition. PhD thesis, Princeton University, 2004.
12. F.-M. Schleif, T. Villmann, and B. Hammer. Prototype based fuzzy classification in clinical proteomics. International Journal of Approximate Reasoning, 47(1):4-16, 2008.
13. S.A. Smith, T.O. Levante, B.H. Meier, and R.R. Ernst. Computer simulations in magnetic resonance, an object oriented programming approach. J. Magn. Reson., 106a:75-105, 1994.
14. Lucksanaporn Tarachiwin, Koichi Ute, Akio Kobayashi, and Eiichiro Fukusaki. 1h nmr based metabolic profiling in the evaluation of Japanese green tea quality. J. Agric. Food Chem., 55(23):9330-9336, 2007.
15. M. Verleysen and D. François. The curse of dimensionality in data mining and time series prediction. In J. Cabestany, A. Prieto, and F. S. Hernández, editors, Computational Intelligence and Bioinspired Systems, Proceedings of the 8th International Work-Conference on Artificial Neural Networks 2005 (IWANN), Barcelona.
16. T. Villmann and J.-C. Claussen. Magnification control in self-organizing maps and neural gas. Neural Computation, 18(2):446-469, 2006.
17. B. Williams, S. Cornett, B. Dawant, A. Crecelius, B. Bodenheimer, and R. Caprioli. An algorithm for baseline correction of maldi mass spectra. In Proceedings of the 43rd annual Southeast regional conference - Volume 1, pages 137-142, Kennesaw, Georgia, 2005. ACM.