Multiple Classifier Systems 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005. Proceedings /
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
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| Σειρά: | Lecture Notes in Computer Science,
3541 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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
- 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
- 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
- Designing Multiple Classifier Systems for Face Recognition
- Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data.
