Multiple Classifier Systems 12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings /

This book constitutes the refereed proceedings of the 12th International Workshop on Multiple Classifier Systems, MCS 2015, held in Günzburg, Germany, in June/July 2015. The 19 revised papers presented were carefully reviewed and selected from 25 submissions. The papers address issues in multiple c...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Schwenker, Friedhelm (Editor ), Roli, Fabio (Editor ), Kittler, Josef (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 9132
Temas:
Data mining.
Pattern recognition systems.
Computer vision.
Information storage and retrieval systems.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Computer Vision.
Information Storage and Retrieval.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models
  • A Hierarchical Ensemble Method for DAG-Structured Taxonomies
  • Diversity Measures and Margin Criteria in Multi-class Majority Vote Ensemble
  • Fractional Programming Weighted Decoding for Error-Correcting Output Codes
  • Instance-Based Decompositions of Error Correcting Output Codes
  • Pruning Bagging Ensembles with Metalearning
  • Multi-label Selective Ensemble
  • Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation
  • Detecting Ordinal Class Structures
  • Calibrating AdaBoost for Asymmetric Learning
  • Building Classifier Ensembles Using Greedy Graph Edit Distance
  • Measuring the Stability of Feature Selection with Applications to Ensemble Methods
  • Suboptimal Graph Edit Distance Based on Sorted Local Assignments
  • Multimodal PLSA for Movie Genre Classification
  • One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time
  • An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees
  • Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective
  • An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles
  • Bio-Visual Fusion for Person Independent Recognition of Pain Intensity.

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