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Mathematical Methodologies in Pattern Recognition and Machine Learning: Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 2013 ed. [Kõva köide]

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  • Formaat: Hardback, 196 pages, kõrgus x laius: 235x155 mm, kaal: 4321 g, VIII, 196 p., 1 Hardback
  • Sari: Springer Proceedings in Mathematics & Statistics 30
  • Ilmumisaeg: 10-Nov-2012
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1461450756
  • ISBN-13: 9781461450757
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Mathematical Methodologies in Pattern Recognition and Machine Learning: Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 2013 ed.Suurem pilt
  • Formaat: Hardback, 196 pages, kõrgus x laius: 235x155 mm, kaal: 4321 g, VIII, 196 p., 1 Hardback
  • Sari: Springer Proceedings in Mathematics & Statistics 30
  • Ilmumisaeg: 10-Nov-2012
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1461450756
  • ISBN-13: 9781461450757
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781461450757.html
Märksõnad:
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.
On the Expressivity of Alignment-Based Distance and Similarity Measures on Sequences and Trees in Inducing Orderings
1(18)
Martin Emms
Hector-Hugo Franco-Penya
Automatic Annotation of a Dynamic Corpus by Label Propagation
19(14)
Thomas Lansdall-Welfare
Ilias Flaounas
Nello Cristianini
Computing Voronoi Adjacencies in High Dimensional Spaces by Using Linear Programming
33(18)
Juan Mendez
Javier Lorenzo
Phase-Locked Matrix Factorization with Estimation of the Common Oscillation
51(16)
Miguel Almeida
Ricardo Vigario
Jose Bioucas-Dias
Stochastic Subgradient Estimation Training for Support Vector Machines
67(16)
Sangkyun Lee
Stephen J. Wright
Single-Frame Signal Recovery Using a Similarity-Prior
83(16)
Sakinah A. Pitchay
Ata Kaban
A Discretized Newton Flow for Time-Varying Linear Inverse Problems
99(12)
Martin Kleinsteuber
Simon Hawe
Exploiting Structural Consistencies with Stacked Conditional Random Fields
111(16)
Peter Kluegl
Martin Toepfer
Florian Lemmerich
Andreas Hotho
Frank Puppe
Detecting Mean-Reverted Patterns in Algorithmic Pairs Trading
127(22)
K. Triantafyllopoulos
S. Han
Segmenting Carotid in CT Using Geometric Potential Field Deformable Model
149(14)
Si Yong Yeo
Xianghua Xie
Igor Sazonov
Perumal Nithiarasu
A Robust Deformable Model for 3D Segmentation of the Left Ventricle from Ultrasound Data
163(16)
Carlos Santiago
Jorge S. Marques
Jacinto C. Nascimento
Facial Expression Recognition Using Diffeomorphic Image Registration Framework
179
Bartlomiej W. Papiez
Bogdan J. Matuszewski
Lik-Kwan Shark
Wei Quan