Multiple Classifier Systems 12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings
by
 
Schwenker, Friedhelm. editor.

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

Author
Schwenker, Friedhelm. editor.

ISBN
9783319202488

Edition
1st ed. 2015.

Physical Description
X, 231 p. 40 illus. online resource.

Series
Image Processing, Computer Vision, Pattern Recognition, and Graphics, 9132

Contents
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.

Added Author
Schwenker, Friedhelm.
 
Roli, Fabio.
 
Kittler, Josef.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-319-20248-8


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book519106-1001ONLINEElektronik Kütüphane