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Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion |
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1 | (12) |
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The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition |
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13 | (9) |
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Kernel Combination Versus Classifier Combination |
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22 | (10) |
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Deriving the Kernel from Training Data |
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32 | (10) |
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On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data |
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42 | (10) |
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A New HMM-Based Ensemble Generation Method for Numeral Recognition |
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52 | (10) |
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Alceu de Souza Britto Jr. |
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Classifiers Fusion in Recognition of Wheat Varieties |
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62 | (10) |
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Multiple Classifier Methods for Offline Handwritten Text Line Recognition |
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72 | (10) |
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Applying Data Fusion Methods to Passage Retrieval in QAS |
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82 | (11) |
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A Co-training Approach for Time Series Prediction with Missing Data |
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93 | (10) |
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An Improved Random Subspace Method and Its Application to EEG Signal Classification |
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103 | (10) |
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Ensemble Learning Methods for Classifying EEG Signals |
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113 | (8) |
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Confidence Based Gating of Colour Features for Face Authentication |
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121 | (10) |
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View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition |
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131 | (10) |
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Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification |
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141 | (10) |
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Serial Fusion of Fingerprint and Face Matchers |
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151 | (10) |
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Boosting Lite -- Handling Larger Datasets and Slower Base Classifiers |
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161 | (10) |
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Information Theoretic Combination of Classifiers with Application to AdaBoost |
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171 | (9) |
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Interactive Boosting for Image Classification |
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180 | (10) |
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Cluster and Graph Ensembles |
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Group-Induced Vector Spaces |
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190 | (10) |
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Selecting Diversifying Heuristics for Cluster Ensembles |
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200 | (10) |
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Unsupervised Texture Segmentation Using Multiple Segmenters Strategy |
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210 | (10) |
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Classifier Ensembles for Vector Space Embedding of Graphs |
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220 | (11) |
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Cascading for Nominal Data |
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231 | (10) |
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Feature Subspace Ensembles |
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A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers |
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241 | (10) |
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Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features |
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251 | (10) |
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Feature Subspace Ensembles: A Parallel Classifier Combination Scheme Using Feature Selection |
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261 | (10) |
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Stopping Criteria for Ensemble-Based Feature Selection |
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271 | (11) |
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Multiple Classifier System Theory |
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On Rejecting Unreliably Classified Patterns |
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282 | (10) |
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Bayesian Analysis of Linear Combiners |
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292 | (10) |
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Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination |
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302 | (10) |
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Alceu de Souza Britto Jr. |
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Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks |
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312 | (10) |
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Classifier Combining Rules Under Independence Assumptions |
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322 | (11) |
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Embedding Reject Option in ECOC Through LDPC Codes |
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333 | (11) |
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Intramodal and Multimodal Fusion of Biometric Experts |
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On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers |
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344 | (13) |
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Index Driven Combination of Multiple Biometric Experts for AUC Maximisation |
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357 | (10) |
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Q -- stack: Uni- and Multimodal Classifier Stacking with Quality Measures |
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367 | (10) |
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Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric Authentication |
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377 | (10) |
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Optimal Classifier Combination Rules for Verification and Identification Systems |
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387 | (10) |
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Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets |
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397 | (10) |
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On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles |
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407 | (14) |
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Hierarchical Behavior Knowledge Space |
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421 | (10) |
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A New Dynamic Ensemble Selection Method for Numeral Recognition |
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431 | (9) |
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Alceu de Souza Britto Jr. |
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Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation |
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440 | (10) |
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Naive Bayes Ensembles with a Random Oracle |
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450 | (9) |
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An Experimental Study on Rotation Forest Ensembles |
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459 | (10) |
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Cooperative Coevolutionary Ensemble Learning |
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469 | (10) |
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Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data |
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479 | (11) |
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An Ensemble Approach for Incremental Learning in Nonstationary Environments |
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490 | (11) |
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Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments |
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501 | (12) |
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Biometric Person Authentication Is a Multiple Classifier Problem |
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513 | (10) |
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Author Index |
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523 | |