Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning
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Published By Springer New York

9781461450757, 9781461450764

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A Robust Deformable Model for 3D Segmentation of the Left Ventricle from Ultrasound Data

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning ◽

10.1007/978-1-4614-5076-4_11 ◽

2012 ◽

pp. 163-178 ◽

Cited By ~ 3

Author(s):

Carlos Santiago ◽

Jorge S. Marques ◽

Jacinto C. Nascimento

Keyword(s):

Left Ventricle ◽

Deformable Model ◽

3D Segmentation

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Segmenting Carotid in CT Using Geometric Potential Field Deformable Model

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning ◽

10.1007/978-1-4614-5076-4_10 ◽

2012 ◽

pp. 149-162

Author(s):

Si Yong Yeo ◽

Xianghua Xie ◽

Igor Sazonov ◽

Perumal Nithiarasu

Keyword(s):

Potential Field ◽

Deformable Model

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A Discretized Newton Flow for Time-Varying Linear Inverse Problems

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning ◽

10.1007/978-1-4614-5076-4_7 ◽

2012 ◽

pp. 99-110

Author(s):

Martin Kleinsteuber ◽

Simon Hawe

Keyword(s):

Inverse Problems ◽

Time Varying ◽

Linear Inverse Problems

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On the Expressivity of Alignment-Based Distance and Similarity Measures on Sequences and Trees in Inducing Orderings

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning ◽

10.1007/978-1-4614-5076-4_1 ◽

2012 ◽

pp. 1-18

Author(s):

Martin Emms ◽

Hector-Hugo Franco-Penya

Keyword(s):

Similarity Measures

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Phase-Locked Matrix Factorization with Estimation of the Common Oscillation

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning ◽

10.1007/978-1-4614-5076-4_4 ◽

2012 ◽

pp. 51-66 ◽

Cited By ~ 1

Author(s):

Miguel Almeida ◽

Ricardo Vigário ◽

José Bioucas-Dias

Keyword(s):

Matrix Factorization ◽

The Common

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Single-Frame Signal Recovery Using a Similarity-Prior

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning ◽

10.1007/978-1-4614-5076-4_6 ◽

2012 ◽

pp. 83-98

Author(s):

Sakinah A. Pitchay ◽

Ata Kabán

Keyword(s):

Signal Recovery ◽

Single Frame

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Computing Voronoi Adjacencies in High Dimensional Spaces by Using Linear Programming

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning ◽

10.1007/978-1-4614-5076-4_3 ◽

2012 ◽

pp. 33-49 ◽

Cited By ~ 1

Author(s):

Juan Mendez ◽

Javier Lorenzo

Keyword(s):

Linear Programming ◽

High Dimensional

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Automatic Annotation of a Dynamic Corpus by Label Propagation

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning ◽

10.1007/978-1-4614-5076-4_2 ◽

2012 ◽

pp. 19-32

Author(s):

Thomas Lansdall-Welfare ◽

Ilias Flaounas ◽

Nello Cristianini

Keyword(s):

Label Propagation ◽

Automatic Annotation

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Detecting Mean-Reverted Patterns in Algorithmic Pairs Trading

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning ◽

10.1007/978-1-4614-5076-4_9 ◽

2012 ◽

pp. 127-147

Author(s):

K. Triantafyllopoulos ◽

S. Han

Keyword(s):

Pairs Trading

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Exploiting Structural Consistencies with Stacked Conditional Random Fields

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning ◽

10.1007/978-1-4614-5076-4_8 ◽

2012 ◽

pp. 111-125

Author(s):

Peter Kluegl ◽

Martin Toepfer ◽

Florian Lemmerich ◽

Andreas Hotho ◽

Frank Puppe

Keyword(s):

Random Fields ◽

Conditional Random Fields

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Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

A Robust Deformable Model for 3D Segmentation of the Left Ventricle from Ultrasound Data

Segmenting Carotid in CT Using Geometric Potential Field Deformable Model

A Discretized Newton Flow for Time-Varying Linear Inverse Problems

On the Expressivity of Alignment-Based Distance and Similarity Measures on Sequences and Trees in Inducing Orderings

Phase-Locked Matrix Factorization with Estimation of the Common Oscillation

Single-Frame Signal Recovery Using a Similarity-Prior

Computing Voronoi Adjacencies in High Dimensional Spaces by Using Linear Programming

Automatic Annotation of a Dynamic Corpus by Label Propagation

Detecting Mean-Reverted Patterns in Algorithmic Pairs Trading

Exploiting Structural Consistencies with Stacked Conditional Random Fields

Springer Proceedings in Mathematics & Statistics - Mathematical Methodologies in Pattern Recognition and Machine Learning
Latest Publications