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Conferences in DBLP

Multiple Classifier Systems (MCS) (mcs)
2007 (conf/mcs/2007)

  1. Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin
    Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:1-12 [Conf]
  2. David Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev
    The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:13-21 [Conf]
  3. Wan-Jui Lee, Sergey Verzakov, Robert P. W. Duin
    Kernel Combination Versus Classifier Combination. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:22-31 [Conf]
  4. Stefano Merler, Giuseppe Jurman, Cesare Furlanello
    Deriving the Kernel from Training Data. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:32-41 [Conf]
  5. Kai Lienemann, Thomas Plötz, Gernot A. Fink
    On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:42-51 [Conf]
  6. Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.
    A New HMM-Based Ensemble Generation Method for Numeral Recognition. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:52-61 [Conf]
  7. Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis
    Classifiers Fusion in Recognition of Wheat Varieties. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:62-71 [Conf]
  8. Roman Bertolami, Horst Bunke
    Multiple Classifier Methods for Offline Handwritten Text Line Recognition. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:72-81 [Conf]
  9. Hans Ulrich Christensen, Daniel Ortiz Arroyo
    Applying Data Fusion Methods to Passage Retrieval in QAS. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:82-92 [Conf]
  10. Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya
    A Co-training Approach for Time Series Prediction with Missing Data. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:93-102 [Conf]
  11. Shiliang Sun
    An Improved Random Subspace Method and Its Application to EEG Signal Classification. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:103-112 [Conf]
  12. Shiliang Sun
    Ensemble Learning Methods for Classifying EEG Signals. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:113-120 [Conf]
  13. Mohammad Sadeghi, Samaneh Khoshrou, Josef Kittler
    Confidence Based Gating of Colour Features for Face Authentication. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:121-130 [Conf]
  14. Reza Ebrahimpour, Ehsanollah Kabir, Mohammad Reza Yousefi
    View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:131-140 [Conf]
  15. Ángel Serrano, Isaac Martín de Diego, Cristina Conde, Enrique Cabello, Li Bai, LinLin Shen
    Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:141-150 [Conf]
  16. Gian Luca Marcialis, Fabio Roli
    Serial Fusion of Fingerprint and Face Matchers. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:151-160 [Conf]
  17. Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer
    Boosting Lite - Handling Larger Datasets and Slower Base Classifiers. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:161-170 [Conf]
  18. Julien Meynet, Jean-Philippe Thiran
    Information Theoretic Combination of Classifiers with Application to AdaBoost. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:171-179 [Conf]
  19. Yijuan Lu, Qi Tian, Thomas S. Huang
    Interactive Boosting for Image Classification. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:180-189 [Conf]
  20. Manuele Bicego, Elzbieta Pekalska, Robert P. W. Duin
    Group-Induced Vector Spaces. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:190-199 [Conf]
  21. Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
    Selecting Diversifying Heuristics for Cluster Ensembles. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:200-209 [Conf]
  22. Michal Haindl, Stanislav Mikes
    Unsupervised Texture Segmentation Using Multiple Segmenters Strategy. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:210-219 [Conf]
  23. Kaspar Riesen, Horst Bunke
    Classifier Ensembles for Vector Space Embedding of Graphs. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:220-230 [Conf]
  24. Jesús Maudes, Juan J. Rodríguez, Cesar García-Osorio
    Cascading for Nominal Data. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:231-240 [Conf]
  25. Mineichi Kudo, Satoshi Shirai, Hiroshi Tenmoto
    A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:241-250 [Conf]
  26. Joseph DePasquale, Robi Polikar
    Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:251-260 [Conf]
  27. Hugo Silva, Ana L. N. Fred
    Feature Subspace Ensembles: A Parallel Classifier Combination Scheme Using Feature Selection. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:261-270 [Conf]
  28. Terry Windeatt, Matthew Prior
    Stopping Criteria for Ensemble-Based Feature Selection. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:271-281 [Conf]
  29. Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento
    On Rejecting Unreliably Classified Patterns. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:282-291 [Conf]
  30. Battista Biggio, Giorgio Fumera, Fabio Roli
    Bayesian Analysis of Linear Combiners. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:292-301 [Conf]
  31. Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.
    Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:302-311 [Conf]
  32. Samuel Chindaro, Konstantinos Sirlantzis, Michael C. Fairhurst
    Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:312-321 [Conf]
  33. Shoushan Li, Chengqing Zong
    Classifier Combining Rules Under Independence Assumptions. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:322-332 [Conf]
  34. Claudio Marrocco, Paolo Simeone, Francesco Tortorella
    Embedding Reject Option in ECOC Through LDPC Codes. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:333-343 [Conf]
  35. Norman Poh, Guillaume Heusch, Josef Kittler
    On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:344-356 [Conf]
  36. Roberto Tronci, Giorgio Giacinto, Fabio Roli
    Index Driven Combination of Multiple Biometric Experts for AUC Maximisation. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:357-366 [Conf]
  37. Krzysztof Kryszczuk, Andrzej Drygajlo
    Q-stack: Uni- and Multimodal Classifier Stacking with Quality Measures. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:367-376 [Conf]
  38. Jonas Richiardi, Andrzej Drygajlo
    Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric Authentication. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:377-386 [Conf]
  39. Sergey Tulyakov, Venu Govindaraju, Chaohong Wu
    Optimal Classifier Combination Rules for Verification and Identification Systems. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:387-396 [Conf]
  40. Nitesh V. Chawla, Jared Sylvester
    Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:397-406 [Conf]
  41. Yun Sheng Chung, D. Frank Hsu, Chuan Yi Tang
    On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:407-420 [Conf]
  42. Hubert Cecotti, Abdel Belaïd
    Hierarchical Behavior Knowledge Space. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:421-430 [Conf]
  43. Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.
    A New Dynamic Ensemble Selection Method for Numeral Recognition. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:431-439 [Conf]
  44. Manuela Zanda, Gavin Brown, Giorgio Fumera, Fabio Roli
    Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:440-449 [Conf]
  45. Juan J. Rodríguez, Ludmila I. Kuncheva
    Naïve Bayes Ensembles with a Random Oracle. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:450-458 [Conf]
  46. Ludmila I. Kuncheva, Juan J. Rodríguez
    An Experimental Study on Rotation Forest Ensembles. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:459-468 [Conf]
  47. Daniel Kanevskiy, Konstantin Vorontsov
    Cooperative Coevolutionary Ensemble Learning. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:469-478 [Conf]
  48. Omer Berkman, Nathan Intrator
    Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:479-489 [Conf]
  49. Michael Muhlbaier, Robi Polikar
    An Ensemble Approach for Incremental Learning in Nonstationary Environments. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:490-500 [Conf]
  50. Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel
    Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:501-512 [Conf]
  51. Samy Bengio, Johnny Mariéthoz
    Biometric Person Authentication Is a Multiple Classifier Problem. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:513-522 [Conf]
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