Mathematical Methodologies in Pattern Recognition and Machine Learning: Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012

✍ Scribed by Martin Emms, Hector-Hugo Franco-Penya (auth.), Pedro Latorre Carmona, J. Salvador Sánchez, Ana L.N. Fred (eds.)

• Publisher: Springer-Verlag New York
• Year: 2013
• Tongue: English
• Leaves: 199
• Series: Springer Proceedings in Mathematics & Statistics 30
• Edition: 1
• Category: Library

✦ Synopsis

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

Front Matter....Pages i-viii
On the Expressivity of Alignment-Based Distance and Similarity Measures on Sequences and Trees in Inducing Orderings....Pages 1-18
Automatic Annotation of a Dynamic Corpus by Label Propagation....Pages 19-32
Computing Voronoi Adjacencies in High Dimensional Spaces by Using Linear Programming....Pages 33-49
Phase-Locked Matrix Factorization with Estimation of the Common Oscillation....Pages 51-66
Stochastic Subgradient Estimation Training for Support Vector Machines....Pages 67-82
Single-Frame Signal Recovery Using a Similarity-Prior....Pages 83-98
A Discretized Newton Flow for Time-Varying Linear Inverse Problems....Pages 99-110
Exploiting Structural Consistencies with Stacked Conditional Random Fields....Pages 111-125
Detecting Mean-Reverted Patterns in Algorithmic Pairs Trading....Pages 127-147
Segmenting Carotid in CT Using Geometric Potential Field Deformable Model....Pages 149-162
A Robust Deformable Model for 3D Segmentation of the Left Ventricle from Ultrasound Data....Pages 163-178
Facial Expression Recognition Using Diffeomorphic Image Registration Framework....Pages 179-194

✦ Subjects

Systems Theory, Control; Optimization; Math Applications in Computer Science; Pattern Recognition