Mathematical methodologies in pattern recognition and machine learning contributions from the international conference on pattern recognition applications and methods, 2012 Pedro Latorre Carmona, J. Salvador Sánchez, Ana L.N. Fred
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- Language:
- English
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- Medical Subjects:
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- Genre:
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- proceedings (reports)
- Conference papers and proceedings
- Physical Description:
- 1 online resource
- Place of Publication:
- New York Springer ©2013
- System Details:
- text file PDF
- Summary:
- 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
- Contents:
- On the Expressivity of Alignment-Based Distance and Similarity Measures on Sequences and Trees in Inducing Orderings Martin Emms and Hector-Hugo Franco-Penya Automatic Annotation of a Dynamic Corpus by Label Propagation Thomas Lansdall-Welfare, Ilias Flaounas and Nello Cristianini Computing Voronoi Adjacencies in High Dimensional Spaces by Using Linear Programming Juan Mendez and Javier Lorenzo Phase-Locked Matrix Factorization with Estimation of the Common Oscillation Miguel Almeida, Ricardo Vigário and José Bioucas-Dias Stochastic Subgradient Estimation Training for Support Vector Machines Sangkyun Lee and Stephen J. Wright Single-Frame Signal Recovery Using a Similarity-Prior Sakinah A. Pitchay and Ata Kabán A Discretized Newton Flow for Time-Varying Linear Inverse Problems Martin Kleinsteuber and Simon Hawe Exploiting Structural Consistencies with Stacked Conditional Random Fields Peter Kluegl, Martin Toepfer, Florian Lemmerich, Andreas Hotho and Frank Puppe Detecting Mean-Reverted Patterns in Algorithmic Pairs Trading K. Triantafyllopoulos and S. Han Segmenting Carotid in CT Using Geometric Potential Field Deformable Model Si Yong Yeo, Xianghua Xie, Igor Sazonov and Perumal Nithiarasu A Robust Deformable Model for 3D Segmentation of the Left Ventricle from Ultrasound Data Carlos Santiago, Jorge S. Marques and Jacinto C. Nascimento Facial Expression Recognition Using Diffeomorphic Image Registration Framework Bartlomiej W. Papiez, Bogdan J. Matuszewski, Lik-Kwan Shark and Wei Quan
- Notes:
- Print version record
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- Print version:
- ISBN:
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- 1461450764
- 9781461450764
- 1461450756
- 9781461450757
- OCLC:
- 821020903
- Access Restriction:
- Restricted for use by site license
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