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The problem of learning from seismic recordings has been studied for years.
R. Blandford, “Seismic event discrimination,” Bulletin of the Seismological Society of America , vol. 72, pp. 569–587, 1982
1982
Earlier work this paper cites.
T. Kohonen, Self-Organization and Associative Memory . Springer Series in Information Sciences, 1989
1989
Earlier work this paper cites.
K. Fukunaga, Introduction to Statistical Pattern Recognition (2nd edition) . Academic Press, New York, 1990
1990
Earlier work this paper cites.
M. Joswig, “Pattern recognition for earthquake detection,” Bulletin of the Seismological Society of America , vol. 80, no. 1, pp. 170–186, 1990
1990
Earlier work this paper cites.
D. B. Harris, “A waveform correlation method for identifying quarry explosions,” Bulletin of the Seismological Society of America , vol. 81, no. 6, pp. 2395–2418, 1991
1991
Earlier work this paper cites.
T. Tiira, “Discrimination of nuclear explosions and earthquakes from teleseismic distances with a local network of short period seismic stations using artificial neural networks,” Physics of the Earth and Planetary Interiors , vol. 97, no. 1-4, pp. 247–268, 1996
1996
Earlier work this paper cites.
A. J. Rodgers, T. Lay, W. R. Walter, and K. M. Mayeda, “A comparison of regional-phase amplitude ratio measurement techniques,” Bulletin of the Seismological Society of America , vol. 87, no. 6, pp. 1613–1621, 1997
1997
Earlier work this paper cites.
P. L. Lai and C. Fyfe, “Kernel and nonlinear canonical correlation analysis,” International Journal of Neural Systems , vol. 10, no. 05, pp. 365–377, 2000
2000
Earlier work this paper cites.
M. Ohrnberger, “Continuous automatic classification of seismic signals of volcanic origin at Mt. Merapi, Java, Indonesia,” PhD thesis, University of Potsdam , 2001
2001
Earlier work this paper cites.
M. Belkin and P. Niyogi, “Laplacian eigenmaps for dimensionality reduction and data representation,” Neural Computation , vol. 15, pp. 1373–1396, 2003
2003
Earlier work this paper cites.
E. Del Pezzo, A. Esposito, F. Giudicepietro, M. Marinaro, M. Martini, and S. Scarpetta, “Discrimination of earthquakes and underwater explosions using neural networks,” Bulletin of the Seismological Society of America , vol. 93, no. 1, pp. 215–223, 2003
2003
Earlier work this paper cites.
I. Jolliffe, Principal component analysis , 2005, vol. 21
2005
Earlier work this paper cites.
R. R. Coifman and S. Lafon, “Diffusion maps,” Applied and computational harmonic analysis , vol. 21, no. 1, pp. 5–30, 2006
2006
Earlier work this paper cites.
A. Esposito, F. Giudicepietro, S. Scarpetta, L. D’Auria, M. Marinaro, and M. Martini, “Automatic discrimination among landslide, explosion-quake, and microtremor seismic signals at stromboli volcano using neural networks,” Bulletin of the Seismological Society of America , vol. 96, no. 4A, pp. 1230–1240, 2006
2006
Earlier work this paper cites.
S. Lafon, Y. Keller, and R. Coifman, “Data fusion and multicue data matching by diffusion maps,” IEEE Trans. Pattern Anal. Mach. Intell. , vol. 28 no. 11, p. 1784–1797, 2006
2006
Earlier work this paper cites.
S. Akaho, “A kernel method for canonical correlation analysis,” arXiv preprint cs/0609071 , 2006
2006
Earlier work this paper cites.
D. Zhou and C. Burges, “Spectral clustering and transductive learning with multiple views,” Proceedings of the 24th international conference on Machine learning , pp. 1159–1166, 2007
2007
Earlier work this paper cites.
A. T. Jones and A. Y. Christopher, “Multispectral analysis of aerosols over oceans using principal components.” IEEE Transactions on Geoscience and Remote Sensing , vol. 46, no. 9, pp. 2659–2665, 2008
2008
Cited alongside, same era.
R. Hofstetter, Y. Gitterman, V. Pinsky, N. Kraeva, and L. Feldman, “Seismological observations of the northern Dead Sea basin earthquake on 11 February 2004 and its associated activity.” Israel Journal of Earth Sciences , vol. 57, pp. 101–124, 2008
2008
Cited alongside, same era.
A. Singer, R. Erban, I. Kevrekidis, and R. R. Coifman, “Detecting intrinsic slow variables in stochastic dynamical systems by anisotropic diffusion maps,” vol. 106, no. 38, 2009, pp. 16 090–16 095
2009
Cited alongside, same era.
Y. Gitterman, “Source phenomenology experiments with borehole explosions of special design in Israel,” Bulletin of the Seismological Society of America , vol. 99, no. 3, pp. 1892–1905, 2009
2009
Cited alongside, same era.
R. Roden, T. Smith, and D. Sacrey, “Geologic pattern recognition from seismic attributes: Principal component analysis and self-organizing maps.” Interpretation , vol. 3, no. 4, pp. SAE59–SAE83, 2015
2015
Later among the works it cites.
Y. Ben Horin and Y. Bregman, “Evaluation of the comprehensive nuclear-test ban treaty seismic monitoring system performance in the Middle East region,” Soreq Nuclear Research Center, Technical Report, , no. N4583, 2015
2015
Later among the works it cites.
G. Mishne, R. Talmon, and I. Cohen, “Graph-based supervised automatic target detection,” IEEE Transactions on Geoscience and Remote Sensing , vol. 53, no. 5, pp. 2738–2754, 2015
2015
Later among the works it cites.
Á. Fernández, A. M. González, J. Díaz, and J. R. Dorronsoro, “Diffusion maps for dimensionality reduction and visualization of meteorological data,” Neurocomputing , vol. 163, pp. 25–37, 2015
2015
Later among the works it cites.
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H. Abdi and L. J. Williams, “Principal component analysis,” Wiley interdisciplinary reviews: computational statistics , vol. 2, no. 4, pp. 433–459, 2010
2010
Cited alongside, same era.
Z. Farbman, R. Fattal, and D. Lischinski, “Diffusion maps for edge-aware image editing,” in ACM Transactions on Graphics (TOG) , vol. 29, no. 6. ACM, 2010, p. 145
2010
Cited alongside, same era.
D. B. Harris and T. Kvaerna, “Superresolution with seismic arrays using empirical matched field processing,” Geophysical Journal International , vol. 182, no. 3, pp. 1455–1477, 2010
2010
Cited alongside, same era.
H. Kuyuk, E. Yildirim, E. Dogan, and G. Horasan, “An unsupervised learning algorithm: application to the discrimination of seismic events and quarry blasts in the vicinity of istanbul,” Natural Hazards and Earth System Sciences , vol. 11, no. 1, pp. 93–100, 2011
2011
Cited alongside, same era.
J. Ramirez Jr and F. G. Meyer, “Machine learning for seismic signal processing: Phase classification on a manifold,” in Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on , vol. 1. IEEE, 2011, pp. 382–388
2011
Cited alongside, same era.
K. M. Taylor, M. J. Procopio, C. J. Young, and F. G. Meyer, “Estimation of arrival times from seismic waves: a manifold-based approach,” Geophysical Journal International , vol. 185, no. 1, pp. 435–452, 2011
2011
Cited alongside, same era.
W. Luo, “Face recognition based on laplacian eigenmaps,” 2011, pp. 416 – 419
2011
Cited alongside, same era.
Y. Ma and Y. Fu, Manifold Learning Theory and Applications . CRC, London, 2012
2012
Cited alongside, same era.
2015
Later among the works it cites.
O. Lindenbaum, A. Yeredor, and M. Salhov, “Learning coupled embedding using multiview diffusion maps,” in International Conference on Latent Variable Analysis and Signal Separation . Springer, 2015, pp. 127–134
2015
Later among the works it cites.
Y. Bregman, N. Rabin, Y. Ben-Horin, and I. Lev, “Seismic event discrimination using diffusion maps,” in Science and Technology Conference , 2015
2015
Later among the works it cites.
R. R. Lederman and R. Talmon, “Learning the geometry of common latent variables using alternating-diffusion,” Applied and Computational Harmonic Analysis, in press , 2015
2015
Later among the works it cites.
O. Lindenbaum, A. Yeredor, and I. Cohen, “Musical key extraction using diffusion maps,” Signal Processing , 2015
2015
Later among the works it cites.
L. Haghverdi, F. Buettner, and F. J. Theis, “Diffusion maps for high-dimensional single-cell analysis of differentiation data,” Bioinformatics , vol. 31, no. 18, pp. 2989–2998, 2015
2015
Later among the works it cites.
A. Griparis, D. Faur, and M. Pinsky, “Dimensionality reduction for visual data mining of earth observation archives.” IEEE Transactions on Geoscience and Remote Sensing Letters , vol. 13, no. 11, pp. 1701–1705, 2016
2016
Later among the works it cites.
K. Unglert, D. Radić, and A. M. Jellinek, “Principal component analysis vs. self-organizing maps combined with hierarchical clustering for pattern recognition in volcano seismic spectra.” Journal of Volcanology and Geothermal Research , vol. 320, pp. 58––74, 2016
2016
Later among the works it cites.
J. Kortström, M. Uski, and T. Tiira, “Automatic classification of seismic events within a regional seismograph network,” Computers & Geosciences , vol. 87, pp. 22–30, 2016
2016
Later among the works it cites.
N. Rabin, Y. Bregman, O. Lindenbaum, Y. Ben-Horin, and A. Averbuch, “Earthquake-explosion discrimination using diffusion maps,” Geophysical Journal International , vol. 207, no. 3, pp. 1484–1492, 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
T. Michaeli, W. Wang, and K. Livescu, “Nonparametric canonical correlation analysis,” in Proc. International Conference on Machine Learning (ICML 2016) , 2016
2016
Later among the works it cites.