Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology

@inproceedings{Papaodysseus2011PatternRA,
  title={Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology},
  author={Constantin Papaodysseus},
  year={2011}
}
Computer scienceespecially pattern recognition, signal processing and mathematical algorithmscan offer important information about archaeological finds, information that is otherwise undetectable by the human senses and traditional archaeological approaches. Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art research in computational pattern recognition and digital archaeometry. Computer science researchers… 
View via Publisher
igi-global.com
25 Citations
Background Citations
3

25 Citations

Combining image analysis and modular neural networks for classification of mineral inclusions and pores in archaeological potsherds

Classification of Moroccan Decorative Patterns Based on Machine Learning Algorithms

A new method of classifying decor patterns based on the analysis of the texture and color of the images is proposed based on K-Nearest Neighbors (K-NN) and Support Vector Machine (SVM).

Automatic Classification of Impact-Echo Spectra I

We investigate the application of artificial neural networks (ANNs) to the classification of spectra from impact-echo signals. In this paper we provide analyses from simulated signals and the second…

L’utilizzo di metodi automatici per l’analisi della forma applicati alla ricerca archeologica

It is shown that the system based on an ensemble of approaches is able to work in different applications exactly with the same parameters, which is very useful for practitioners, with little knowledge of pattern recognition, that need a quick method for their shape classification problem.

Theoretical Framework for Ceramic Design Studies Facing Advanced Mathematical Educational Research

The investigation will be in the range on some of the structured theoretical frameworks, which observational design approaches as main measurement, accuracy, equality, transformations and estimation in exploring the development process.

Gene Regulation Network Use for Information Processing

A model that is based on DNA information processing, but adapting it to general information processing is proposed which can be based on a set of techniques called Artificial Embryogeny (Stanley K. & Miikkulainen R. 2003) which adapts characteristics from the biological cells to solve different problems.

Writer identification using machine learning approaches: a comprehensive review

A comprehensive review of writer identification methods is presented and taxonomy of dataset, feature extraction methods, as well as classification (conventional and deep learning based) for writer identification is provided.

Writer identification using machine learning approaches: a comprehensive review

A comprehensive review of writer identification methods is presented and taxonomy of dataset, feature extraction methods, as well as classification (conventional and deep learning based) for writer identification is provided.

Data Mining Fundamental Concepts and Critical Issues

Data mining is the process of extracting previously unknown information from large databases or data warehouses and using it to make crucial business decisions, and it can speed analysis by focusing attention on the most important variables.

N Non-Cooperative Facial Biometric Identification Systems

This work presents a non-cooperative identification system based on facial biometric, deployed in various commercial, civilian, and forensic applications as a means of establishing identity.

References

SHOWING 1-10 OF 36 REFERENCES

Classification of decorative patterns in Kamares pottery

This preliminary report addresses only one step of a pipeline relative to the shape matching phase of the Minoan pottery of Kamares style, where the cooccurrence of the different shapes in a clay fragment will in turn be used to help the archaeologist in datation.

Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks

This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior…

Circular Blurred Shape Model for symbol spotting in documents

The Circular Blurred Shape Model descriptor is proposed, which captures the spatial arrangement of significant object characteristics in a correlogram structure and shows better performance comparing with the state-of-the-art descriptors.

2D Shape Classification and Retrieval

By formulating the correspondence problem in terms of a simple generative model, this work is able to efficiently compute matches that incorporate scale, translation, rotation and reflection invariance and shows that combining the two leads to improved classification/ retrieval performance.

Shape matching and object recognition using shape contexts

This paper presents work on computing shape models that are computationally fast and invariant basic transformations like translation, scaling and rotation, and proposes shape detection using a feature called shape context, which is descriptive of the shape of the object.

Landmark methods for forms without landmarks: morphometrics of group differences in outline shape

The Excavation of the Kamares Cave in Crete

The Kamares cave on Mount Ida has been known now for more than twenty years as a prehistoric sanctuary, but its full excavation was only carried out in the summer of 1913 by a party from the British…

Hierarchical Procrustes Matching for Shape Retrieval

  • Graham McNeillS. Vijayakumar
  • Computer Science
    2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)
  • 2006
HPM is introduced, a segment-based shape matching algorithm which avoids problems associated with purely global or local methods and performs well on benchmark shape retrieval tests.

Human image understanding: Recent research and a theory

  • I. Biederman
  • Computer Science
    Comput. Vis. Graph. Image Process.
  • 1985

2D Shape Matching by Contour Flexibility

This paper proposes a novel shape descriptor of planar contours, called contour flexibility, which represents the deformable potential at each point along a contour, and presents a shape matching scheme based on the features obtained.