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  • Milton :Taylor & Francis Group,  (2)
  • 1
    Online Resource
    Online Resource
    Milton :Taylor & Francis Group,
    Keywords: Biology - Data processing. ; Electronic books.
    Description / Table of Contents: Automated Taxon Identification in Systematics shows how automated identification can be applied to various organismal groups. It is the first text to address the interface between the species recognition question in the biological sciences and the class recognition problem in mathematics and statistics. It will be of interest to taxonomists as well as computational professionals who focus on the biological sciences. Featuring high-profile contributors, the text presents current trends in quantitative approaches to group-recognition challenges, discusses the identification capabilities of current software systems, and evaluates applications of this technology to present and future problems.
    Type of Medium: Online Resource
    Pages: 1 online resource (370 pages)
    Edition: 1st ed.
    ISBN: 9781420008074
    DDC: 570.12
    Language: English
    Note: Front cover -- Table of Contents -- Foreword -- The Editor -- Contributors -- Chapter 1. Introduction -- Chapter 2. Digital Innovation and Taxonomy's Finest Hour -- Chapter 3. Natural Object Categorization: Man versus Machine -- Chapter 4. Neural Networks in Brief -- Chapter 5. Morphometrics and Computed Homology: An Old Theme Revisited -- Chapter 6. The Automated Identification of Taxa: Concepts and Applications -- Chapter 7. DAISY: A Practical Computer-Based Tool for Semi-Automated Species Identification -- Chapter 8. Automated Extraction and Analysis of Morphological Features for Species Identification -- Chapter 9. Introducing SPIDA-Web: Wavelets, Neural Networks and Internet Accessibility in an Image-Based Automated Identification System -- Chapter 10. Automated Tools for the Identification of Taxa from Morphological Data: Face Recognition in Wasps -- Chapter 11. Pattern Recognition for Ecological Science and Environmental Monitoring: An Initial Report -- Chapter 12. Plant Identification from Characters and Measurements Using Artificial Neural Networks -- Chapter 13. Spot the Penguin: Can Reliable Taxonomic Identifications Be Made Using Isolated Foot Bones? -- Chapter 14. A New Semi-Automatic Morphometric Protocol for Conodonts and a Preliminary Taxonomic Application -- Chapter 15. Decision Trees: A Machine-Learning Method for Characterizing Morphological Patterns Resulting from Ecological Adaptation -- Chapter 16. Data Integration and Multifactorial Analyses: The Yeasts and the BioloMICS Software as a Case Study -- Chapter 17. Automatic Measurement of Honeybee Wings -- Chapter 18. Good Performers Know Their Audience! Identification and Characterization of Pitch Contours in Infant- and Foreigner-Directed Speech -- Appendix 1 -- Appendix 2 -- Appendix 3 -- Appendix 4 -- Appendix 5 -- Subject Index -- Taxon Index -- Back cover.
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  • 2
    Online Resource
    Online Resource
    Milton :Taylor & Francis Group,
    Keywords: Morphology -- Congresses. ; Electronic books.
    Description / Table of Contents: Generally, biologists and mathematicians who study the shape and form of organisms have largely been working in isolation from those who work on evolutionary relationships through the analysis of common characteristics. Increasingly however, dialogue between the two communities is beginning to develop - but other than a handful of journal papers, there has been no formal, published discussion on this subject. This timely book summarises the interdisciplinary work that has taken place and will stimulate additional research into these topics. Any scientist working on evolutionary relationships will find this volume invaluable.
    Type of Medium: Online Resource
    Pages: 1 online resource (321 pages)
    Edition: 1st ed.
    ISBN: 9780203165171
    Series Statement: Systematics Association Special Volumes Series
    DDC: 571.3
    Language: English
    Note: Front Cover -- Contents -- Contributors -- Preface -- Chapter 1 -- References -- Chapter 2 -- ABSTRACT -- Introduction -- Homology -- Characters -- Continuous variables -- Primary homology and topographical identity -- Character state identity -- Cladistic analysis -- Conclusions -- Acknowledgements -- References -- Chapter 3 -- ABSTRACT -- Introduction -- Brownian motion and character correlation -- Dilemmas and opportunities -- Chasing peaks -- Punctuational models -- The character coding problem -- The character uncoding problem -- Morphometrics at last -- Acknowledgements -- References -- Chapter 4 -- ABSTRACT -- Introduction -- Methods of analysis -- Scaling -- Polymorphism -- Conclusions -- Acknowledgements -- References -- Chapter 5 -- ABSTRACT -- Introduction -- Review of the last 10 years in plant phylogenetics -- Methods -- Phylogenetic analyses -- Discussion -- Acknowledgements -- References -- Chapter 6 -- ABSTRACT -- Introduction -- Requirements of phylogenetic analysis -- Mandibles and landmarks -- Comparison of morphometric methods -- Conclusions and recommendations -- Acknowledgements -- References -- Chapter 7 -- ABSTRACT -- Introduction -- Characters and variables -- Using morphology to discover character states -- Continuity: axes vs observations -- Distances, landmarks, and homology -- Partial warp variables as phylogenetic characters: a test of congruence -- A relative warp approach to quantitative morphological analysis in systematics: congruence, interpretability, and extension -- Summary -- Acknowledgements -- References -- Chapter 8 -- ABSTRACT -- Introduction: on themes visual and methodological -- Localization in biometry -- Geometry of creases in one and two dimensions -- Example: effect of schizophrenia on a midsagittal brain polygon -- Example: sexual dimorphism in a curving form without landmarks -- Lab rats. , A phylogenetic example -- Discussion -- Acknowledgements -- Appendix 1: constructing hypothetical forms by minimizing bending energy -- Appendix 2: how to approximate your own creases -- References -- Chapter 9 -- ABSTRACT -- Introduction -- Shape variables and multivariate spaces -- Fitting shape data to a phylogeny -- Visualizations -- An example -- Estimating a phylogeny from shape data -- Discussion -- Acknowledgements -- References -- Chapter 10 -- ABSTRACT -- Introduction -- What are phylogenetic signals? -- How do phylogenetic signals originate and why are they interesting? -- Uncertainty and the bootstrap -- A model for describing morphometric variation using landmarks -- Parametric bootstrapping under the model -- Constructing phenograms based on morphometric dissimilarity -- Measuring the signal -- A simple example -- Discussion -- Acknowledgements -- References -- Chapter 11 -- ABSTRACT -- Introduction -- Materials and methods -- Results -- Discussion -- Conclusions -- Acknowledgements -- References -- Appendices -- Chapter 12 -- ABSTRACT -- Introduction -- The methods -- Practical application of the methods -- Validity of using Brownian motion models -- Discussion -- Acknowledgements -- References -- Chapter 13 -- ABSTRACT -- Introduction -- General theory for statistical models of continuously varying traits -- A framework for modelling continuously varying traits evolving on phylogenies -- Hypothesis testing -- An application to the evolution of Hominid cranial capacity -- Discussion -- Acknowledgements -- References -- Chapter 14 -- References.
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