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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. [Hardback]

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  • Formāts: Hardback, 196 pages, height x width: 235x155 mm, weight: 4321 g, VIII, 196 p., 1 Hardback
  • Sērija : Springer Proceedings in Mathematics & Statistics 30
  • Izdošanas datums: 10-Nov-2012
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1461450756
  • ISBN-13: 9781461450757
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  • Hardback
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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.Palielināt
  • Formāts: Hardback, 196 pages, height x width: 235x155 mm, weight: 4321 g, VIII, 196 p., 1 Hardback
  • Sērija : Springer Proceedings in Mathematics & Statistics 30
  • Izdošanas datums: 10-Nov-2012
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1461450756
  • ISBN-13: 9781461450757
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781461450757.html
Keywords:
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
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Thomas Lansdall-Welfare
Ilias Flaounas
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Computing Voronoi Adjacencies in High Dimensional Spaces by Using Linear Programming
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Juan Mendez
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Phase-Locked Matrix Factorization with Estimation of the Common Oscillation
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Miguel Almeida
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Stochastic Subgradient Estimation Training for Support Vector Machines
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Sangkyun Lee
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Single-Frame Signal Recovery Using a Similarity-Prior
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Sakinah A. Pitchay
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A Discretized Newton Flow for Time-Varying Linear Inverse Problems
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Martin Kleinsteuber
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Exploiting Structural Consistencies with Stacked Conditional Random Fields
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Peter Kluegl
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Detecting Mean-Reverted Patterns in Algorithmic Pairs Trading
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Segmenting Carotid in CT Using Geometric Potential Field Deformable Model
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Si Yong Yeo
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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