Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing
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Published By Springer International Publishing

9783319285177, 9783319285184

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Self-Adjusting Reject Options in Prototype Based Classification

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-28518-4_24 ◽

2016 ◽

pp. 269-279 ◽

Cited By ~ 6

Author(s):

T. Villmann ◽

M. Kaden ◽

A. Bohnsack ◽

J.-M. Villmann ◽

T. Drogies ◽

...

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Local Models for Learning Inverse Kinematics of Redundant Robots: A Performance Comparison

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-28518-4_15 ◽

2016 ◽

pp. 177-187

Author(s):

Humberto I. Fontinele ◽

Davyd B. Melo ◽

Guilherme A. Barreto

Keyword(s):

Inverse Kinematics ◽

Performance Comparison ◽

Local Models ◽

Redundant Robots ◽

A Performance

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Modular Self-Organizing Control for Linear and Nonlinear Systems

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-28518-4_11 ◽

2016 ◽

pp. 131-141

Author(s):

Paulo Henrique Muniz Ferreira ◽

Aluízio Fausto Ribeiro Araújo

Keyword(s):

Nonlinear Systems ◽

Linear And Nonlinear ◽

Linear And Nonlinear Systems ◽

Self Organizing

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SOM Quality Measures: An Efficient Statistical Approach

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-28518-4_4 ◽

2016 ◽

pp. 49-59 ◽

Cited By ~ 3

Author(s):

Lutz Hamel

Keyword(s):

Statistical Approach ◽

Quality Measures

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Optimization of Statistical Evaluation Measures for Classification by Median Learning Vector Quantization

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-28518-4_25 ◽

2016 ◽

pp. 281-291 ◽

Cited By ~ 1

Author(s):

D. Nebel ◽

T. Villmann

Keyword(s):

Vector Quantization ◽

Statistical Evaluation ◽

Learning Vector Quantization ◽

Evaluation Measures

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A Study on GMLVQ Convex and Non-convex Regularization

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-28518-4_27 ◽

2016 ◽

pp. 305-314 ◽

Cited By ~ 1

Author(s):

David Nova ◽

Pablo A. Estévez

Keyword(s):

Convex Regularization

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ESOM Visualizations for Quality Assessment in Clustering

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-28518-4_3 ◽

2016 ◽

pp. 39-48

Author(s):

Alfred Ultsch ◽

Martin Behnisch ◽

Jörn Lötsch

Keyword(s):

Quality Assessment

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Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-28518-4_29 ◽

2016 ◽

pp. 329-339 ◽

Cited By ~ 6

Author(s):

Ernest Mwebaze ◽

Michael Biehl

Keyword(s):

Image Analysis ◽

Disease Diagnosis ◽

Crop Disease

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Functional Representation of Prototypes in LVQ and Relevance Learning

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-28518-4_28 ◽

2016 ◽

pp. 317-327 ◽

Cited By ~ 4

Author(s):

Friedrich Melchert ◽

Udo Seiffert ◽

Michael Biehl

Keyword(s):

Functional Representation ◽

Relevance Learning

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SOM and LVQ Classification of Endovascular Surgeons Using Motion-Based Metrics

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-28518-4_20 ◽

2016 ◽

pp. 227-237 ◽

Cited By ~ 3

Author(s):

Benjamin D. Kramer ◽

Dylan P. Losey ◽

Marcia K. O’Malley

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Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and ComputingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Self-Adjusting Reject Options in Prototype Based Classification

Local Models for Learning Inverse Kinematics of Redundant Robots: A Performance Comparison

Modular Self-Organizing Control for Linear and Nonlinear Systems

SOM Quality Measures: An Efficient Statistical Approach

Optimization of Statistical Evaluation Measures for Classification by Median Learning Vector Quantization

A Study on GMLVQ Convex and Non-convex Regularization

ESOM Visualizations for Quality Assessment in Clustering

Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis

Functional Representation of Prototypes in LVQ and Relevance Learning

SOM and LVQ Classification of Endovascular Surgeons Using Motion-Based Metrics

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing
Latest Publications