Multiple Classifier Systems 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings

Bibliographic Details
Other Authors: Oza, Nikunj C. (Editor), Polikar, Robi (Editor), Kittler, Josef (Editor), Roli, Fabio (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005, 2005
Edition:1st ed. 2005
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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100 1 |a Oza, Nikunj C.  |e [editor] 
245 0 0 |a Multiple Classifier Systems  |h Elektronische Ressource  |b 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings  |c edited by Nikunj C. Oza, Robi Polikar, Josef Kittler, Fabio Roli 
250 |a 1st ed. 2005 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2005, 2005 
300 |a XII, 432 p  |b online resource 
505 0 |a Future Directions -- Semi-supervised Multiple Classifier Systems: Background and Research Directions -- Boosting -- Boosting GMM and Its Two Applications -- Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection -- Observations on Boosting Feature Selection -- Boosting Multiple Classifiers Constructed by Hybrid Discriminant Analysis -- Combination Methods -- Decoding Rules for Error Correcting Output Code Ensembles -- A Probability Model for Combining Ranks -- EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication Tasks -- Mixture of Gaussian Processes for Combining Multiple Modalities -- Dynamic Classifier Integration Method -- Recursive ECOC for Microarray Data Classification -- Using Dempster-Shafer Theory in MCF Systems to Reject Samples -- Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers -- On Deriving the Second-Stage Training Set for Trainable Combiners --  
505 0 |a Between Two Extremes: Examining Decompositions of the Ensemble Objective Function -- Data Partitioning Evaluation Measures for Classifier Ensembles -- Dynamics of Variance Reduction in Bagging and Other Techniques Based on Randomisation -- Ensemble Confidence Estimates Posterior Probability -- Applications -- Using Domain Knowledge in the Random Subspace Method: Application to the Classification of Biomedical Spectra -- An Abnormal ECG Beat Detection Approach for Long-Term Monitoring of Heart Patients Based on Hybrid Kernel Machine Ensemble -- Speaker Verification Using Adapted User-Dependent Multilevel Fusion -- Multi-modal Person Recognition for Vehicular Applications -- Using an Ensemble of Classifiers to Audit a Production Classifier -- Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition Performance -- Combining Audio-Based and Video-Based Shot Classification Systems for News Videos Segmentation --  
505 0 |a Designing Multiple Classifier Systems for Face Recognition -- Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data 
505 0 |a Using Independence Assumption to Improve Multimodal Biometric Fusion -- Design Methods -- Half-Against-Half Multi-class Support Vector Machines -- Combining Feature Subsets in Feature Selection -- ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments -- Using Decision Tree Models and Diversity Measures in the Selection of Ensemble Classification Models -- Ensembles of Classifiers from Spatially Disjoint Data -- Optimising Two-Stage Recognition Systems -- Design of Multiple Classifier Systems for Time Series Data -- Ensemble Learning with Biased Classifiers: The Triskel Algorithm -- Cluster-Based Cumulative Ensembles -- Ensemble of SVMs for Incremental Learning -- Performance Analysis -- Design of a New Classifier Simulator -- Evaluation of Diversity Measures for Binary Classifier Ensembles -- Which Is the Best Multiclass SVM Method? An Empirical Study -- Over-Fitting in Ensembles of Neural Network Classifiers Within ECOC Frameworks --  
653 |a Computer science 
653 |a Computer vision 
653 |a Artificial Intelligence 
653 |a Computer Vision 
653 |a Artificial intelligence 
653 |a Theory of Computation 
653 |a Automated Pattern Recognition 
653 |a Pattern recognition systems 
700 1 |a Polikar, Robi  |e [editor] 
700 1 |a Kittler, Josef  |e [editor] 
700 1 |a Roli, Fabio  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Image Processing, Computer Vision, Pattern Recognition, and Graphics 
028 5 0 |a 10.1007/b136985 
856 4 0 |u https://doi.org/10.1007/b136985?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.4