Springer Proceedings in Mathematics & Statistics

Mathematical Methodologies in Pattern Recognition and Machine Learning

Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012

Editors: Latorre Carmona, Pedro, Sánchez, J. Salvador, Fred - 502 854 200, Ana (Eds.)

  • ​Features applications of pattern recognition techniques to real-world problems with a focus on mathematical methodologies  
  • Interdisciplinary research from leaders in the field
  • Contributions focus on current experimental and theoretical discoveries yielding new insights ​
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About this book

This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field. 

 

This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists.

Table of contents (12 chapters)

  • On the Expressivity of Alignment-Based Distance and Similarity Measures on Sequences and Trees in Inducing Orderings

    Emms, Martin (et al.)

    Pages 1-18

  • Automatic Annotation of a Dynamic Corpus by Label Propagation

    Lansdall-Welfare, Thomas (et al.)

    Pages 19-32

  • Computing Voronoi Adjacencies in High Dimensional Spaces by Using Linear Programming

    Mendez, Juan (et al.)

    Pages 33-49

  • Phase-Locked Matrix Factorization with Estimation of the Common Oscillation

    Almeida, Miguel (et al.)

    Pages 51-66

  • Stochastic Subgradient Estimation Training for Support Vector Machines

    Lee, Sangkyun (et al.)

    Pages 67-82

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-1-4614-5076-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-1-4614-5075-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-1-4939-0092-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Mathematical Methodologies in Pattern Recognition and Machine Learning
Book Subtitle
Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012
Editors
  • Pedro Latorre Carmona
  • J. Salvador Sánchez
  • Ana Fred - 502 854 200
Series Title
Springer Proceedings in Mathematics & Statistics
Series Volume
30
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-5076-4
DOI
10.1007/978-1-4614-5076-4
Hardcover ISBN
978-1-4614-5075-7
Softcover ISBN
978-1-4939-0092-3
Series ISSN
2194-1009
Edition Number
1
Number of Pages
VIII, 196
Topics