Automated Taxon Identification in Systematics Theory Approaches and Applications 1st Edition by Norman MacLeod ISBN 0367388839 9780367388836 by Norman Macleod 084938205X, 9780849382055 instant download after payment.

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ISBN 10: 0367388839 
ISBN 13: 9780367388836
Author: Norman MacLeod

The automated identification of biological objects or groups has been a dream among taxonomists and systematists for centuries. However, progress in designing and implementing practical systems for fully automated taxon identification has been frustratingly slow. Regardless, the dream has never died. Recent developments in computer architectures an

Automated Taxon Identification in Systematics Theory Approaches and Applications 1st Table of contents:

1. Chapter 1 Introduction
2. Chapter 2 Digital Innovation and Taxonomy's Finest Hour
3. Chapter 3 Natural Object Categorization: Man versus Machine
4. Chapter 4 Neural Networks in Brief
5. Chapter 5 Morphometrics and Computed Homology: An Old Theme Revisited
6. Chapter 6 The Automated Identification of Taxa: Concepts and Applications
7. Chapter 7 DAISY: A Practical Computer-Based Tool for Semi-Automated Species Identification
8. Chapter 8 Automated Extraction and Analysis of Morphological Features for Species Identification
9. Chapter 9 Introducing SPIDA-Web: Wavelets, Neural Networks and Internet Accessibility in an Image-Based Automated Identification System
10. Chapter 10 Automated Tools for the Identification of Taxa from Morphological Data:
11. Chapter 11 Pattern Recognition for Ecological Science and Environmental Monitoring: An Initial Report
12. Chapter 12 Plant Identification from Characters and Measurements Using Artificial Neural Networks
13. Chapter 13 Spot the Penguin: Can Reliable Taxonomic Identifications Be Made Using Isolated Foot Bones?
14. Chapter 14 A New Semi-Automatic Morphometric Protocol for Conodonts and a Preliminary Taxonomic Application
15. Chapter 15 Decision Trees: A Machine-Learning Method for Characterizing Morphological Patterns Resulting from Ecological Adaptation
16. Chapter 16 Data Integration and Multifactorial Analyses: The Yeasts and the BioloMICS Software as a Case Study
17. Chapter 17 Automatic Measurement of Honeybee Wings
18. Chapter 18 Good Performers Know Their Audience! Identification and Characterization of Pitch Contours i

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Tags: Norman MacLeod, Taxon, Identification