Mathematical Methodologies in Pattern Recognition and Machine Learning
Subtitle: Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012
By: edited by Pedro Latorre Carmona, J. Salvador Sánchez, Ana L.N. Fred
Contributors: Sánchez, J. Salvador; Fred, Ana L.N.; SpringerLink (Online service)
Series: Springer Proceedings in Mathematics & Statistics -- 30
Publisher: Springer New York; Imprint: Springer
Published: 2013
Place of publication: New York, NY
Language: eng
Format: [electronic resource] :
Number of pages: 194
ISBN-13: 9781461450764
Subjects: Pattern perception; Optical pattern recognition; System theory; Math Applications in Computer Science; Optimization; Computer science; Mathematics; Mathematical optimization; Control Systems Theory
Description: <p>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. </p><p> </p><p>This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists. </p>
Table of contents: title: On order equivalences between distance and similarity measures on sequences and trees; title: Scalable Corpus Annotation by Graph Construction and Label Propagation; title: Computing the reeb graph for triangle meshes with active contours; title: Efficient Computation of Voronoi Neighbors based on Polytope search in Pattern Recognition; title: Estimation of the common oscillation for Phase Locked Matrix Factorization; title: ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines; title: Pitch-sensitive Components emerge from Hierarchical Sparse Coding of Natural Sounds; title: Generative Embeddings based on Rican Mixtures: Application to KernelBased Discriminative Classification of Magnetic Resonance Images.-Single-Frame Signal Recovery Using a Similarity-Prior Based on Pearson Type VII MRF; title: Tracking solutions of time varying linear inverse problems; title: Stacked Conditional Random Fields Exploiting Structural Consistencies; title: Segmentation of Vessel Geometries from Medical Images using GPF Deformable Model; title: Robust Deformable Model for Segmenting the Left Ventricle in 3D volumes of Ultrasound Data; title: Algorithm to maintain linear element in 3D Level Set Topology Optimization; title: Facial Expression recognition using Log-Euclidean statistical shape models.​.