Journal ArticleDOI
Seismic pattern recognition
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TLDR
The fundamental problems in automatic recognition of seismic events are examined with particular emphasis on feature extraction and digital signal processing with the discussion of geophysical features.About:
This article is published in Geoexploration.The article was published on 1978-04-01. It has received 23 citations till now. The article focuses on the topics: Feature (machine learning) & Feature extraction.read more
Citations
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Journal ArticleDOI
Applications of clustering in exploration seismology
TL;DR: This work gives an overview of the cluster analysis and pattern recognition methods and performs hierarchical clustering on a small amount of data for reducing the feature set to an orthogonal one.
An application of syntactic pattern recognition to seismic discrimination
Hsi-Ho Liu,King-Sun Fu +1 more
TL;DR: In this article, two syntactic methods for the recognition of seismic waveforms are presented for the classification of real seismic data for earthquake/explosion is presented as an application example.
Journal ArticleDOI
A syntactic pattern recognition approach to seismic discrimination
Hsi-Ho Liu,King-Sun Fu +1 more
TL;DR: The experimental results of real earthquake/explosion data are presented; the satisfactory results show a promising future of the syntactic approach.
Journal ArticleDOI
Computer techniques for the zoning and correlation of well‐logs*
TL;DR: In this paper, a review of computer techniques used in the automatic zoning and correlation of well-logs is presented, including conventional time and frequency correlation, sequence slotting, pattern recognition and frequency analysis.
Journal ArticleDOI
An Application of Syntactic Pattern Recognition to Seismic Discrimination
Hsi-Ho Liu,King-Sun Fu +1 more
TL;DR: Two syntactic methods for the recognition of seismic waveforms are presented in this paper and both show equal recognition performance, but the nearest-neighbor rule is much faster in computation speed.
References
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Journal ArticleDOI
Linear Discriminant Functions for Stationary Time Series
Robert H. Shumway,A. N. Unger +1 more
TL;DR: In this article, certain spectral approximations are applied to the problem of discriminating between two normal processes by linear filtering, where the spectral densities of the two populations and the Fourier-Stieltjes transform of the mean difference between them are taken into account.
ReportDOI
A New Look at the Statistical Pattern Recognition.
TL;DR: There are still many challenging problems to be solved in statistical pattern recognition and every effort should be made such that the theory works well in practice.