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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

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Contextual template matching: a distance measure for patterns with hierarchically dependent features.

M Ben-Bassat¹, L Zaidenberg

¹Faculty of Management, Tel Aviv University, Tel Aviv 69978, Israel; Institute of Critical Care Medicine, University of Southern California, Los Angeles, CA 90003.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 27, 2011

Summary

This study introduces conditional pattern spaces (CPS) for context-dependent template matching. A new distance measure handles hierarchically dependent features, applicable even when parts of patterns are not comparable.

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Area of Science:

Computer Science
Archaeology
Pattern Recognition

Background:

Traditional template matching assumes identical feature sets.
Context-dependent relevancy of features poses challenges for classical distance measures.
Hierarchically dependent features require novel comparison frameworks.

Purpose of the Study:

To address context-dependent template matching with hierarchically dependent features.
To introduce a framework for describing such pattern spaces.
To develop a distance measure applicable to these complex scenarios.

Main Methods:

Development of a framework named conditional pattern spaces (CPS).
Creation of a novel distance measure for comparing objects within CPS.
Illustration of the measure using archaeological object comparison.

Main Results:

The proposed distance measure is applicable when classical measures fail due to context-dependent features.
The measure satisfies key properties of distance metrics.
Demonstrated utility in comparing complex, contextually defined objects.

Conclusions:

Conditional pattern spaces provide a robust framework for context-dependent pattern matching.
The developed distance measure offers a viable solution for comparing objects with hierarchically dependent features.
This approach has practical implications, particularly in fields like archaeology.