Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification (English)
- New search for: Du, Peijun
- New search for: Zhang, Wei
- New search for: Sun, Hao
- New search for: Du, Peijun
- New search for: Zhang, Wei
- New search for: Sun, Hao
In:
Multiple Classifier Systems
2
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52-61
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2009
- Article/Chapter (Book) / Electronic Resource
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Title:Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification
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Contributors:
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Published in:Multiple Classifier Systems , 2 ; 52-61Lecture Notes in Computer Science ; 5519, 2 ; 52-61
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Publisher:
- New search for: Springer Berlin Heidelberg
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Place of publication:Berlin, Heidelberg
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Publication date:2009-01-01
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Size:10 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code EnsemblesSmith, Raymond S. / Windeatt, Terry et al. | 2009
- 11
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Recoding Error-Correcting Output CodesEscalera, Sergio / Pujol, Oriol / Radeva, Petia et al. | 2009
- 22
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Comparison of Bagging and Boosting Algorithms on Sample and Feature WeightingShirai, Satoshi / Kudo, Mineichi / Nakamura, Atsuyoshi et al. | 2009
- 32
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Multi-class Boosting with Class HierarchiesJun, Goo / Ghosh, Joydeep et al. | 2009
- 42
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Hybrid Hierarchical Classifiers for Hyperspectral Data AnalysisJun, Goo / Ghosh, Joydeep et al. | 2009
- 52
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Multiple Classifier Combination for Hyperspectral Remote Sensing Image ClassificationDu, Peijun / Zhang, Wei / Sun, Hao et al. | 2009
- 62
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Ensemble Strategies for Classifying Hyperspectral Remote Sensing DataCeamanos, Xavier / Waske, Björn / Benediktsson, Jón Atli / Chanussot, Jocelyn / Sveinsson, Johannes R. et al. | 2009
- 72
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Optimal Mean-Precision ClassifierTax, David M. J. / Loog, Marco / Duin, Robert P. W. et al. | 2009
- 82
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A Multiple Expert Approach to the Class Imbalance Problem Using Inverse Random under SamplingTahir, Muhammad Atif / Kittler, Josef / Mikolajczyk, Krystian / Yan, Fei et al. | 2009
- 92
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Decision Templates Based RBF Network for Tree-Structured Multiple Classifier FusionAbdel Hady, Mohamed Farouk / Schwenker, Friedhelm et al. | 2009
- 102
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Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic RegressorsEdakunni, Narayanan U. / Vijayakumar, Sethu et al. | 2009
- 112
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Regularized Linear Models in Stacked GeneralizationReid, Sam / Grudic, Greg et al. | 2009
- 122
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Active Grading Ensembles for Learning Visual Quality Control from Multiple HumansSannen, Davy / Brussel, Hendrik et al. | 2009
- 132
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Multiple Classifier Systems for Adversarial Classification TasksBiggio, Battista / Fumera, Giorgio / Roli, Fabio et al. | 2009
- 142
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Incremental Learning of Variable Rate Concept DriftElwell, Ryan / Polikar, Robi et al. | 2009
- 152
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Semi-supervised Co-update of Multiple MatchersDidaci, Luca / Marcialis, Gian Luca / Roli, Fabio et al. | 2009
- 161
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Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution MethodWindridge, David / Poh, Norman / Mottl, Vadim / Tatarchuk, Alexander / Eliseyev, Andrey et al. | 2009
- 171
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Influence of Hyperparameters on Random Forest AccuracyBernard, Simon / Heutte, Laurent / Adam, Sébastien et al. | 2009
- 181
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Ensembles of One Class Support Vector MachinesShieh, Albert D. / Kamm, David F. et al. | 2009
- 191
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Disturbing Neighbors Ensembles for Linear SVMMaudes, Jesús / Rodríguez, Juan J. / García-Osorio, César et al. | 2009
- 201
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A Labelled Graph Based Multiple Classifier SystemLee, Wan-Jui / Duin, Robert P. W. et al. | 2009
- 211
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Cluster Ensembles Based on Vector Space Embeddings of GraphsRiesen, Kaspar / Bunke, Horst et al. | 2009
- 222
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Random Ordinality Ensembles $\colon$ A Novel Ensemble Method for Multi-valued Categorical DataAhmad, Amir / Brown, Gavin et al. | 2009
- 232
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True Path Rule Hierarchical EnsemblesValentini, Giorgio et al. | 2009
- 242
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A Study of Semi-supervised Generative EnsemblesZanda, Manuela / Brown, Gavin et al. | 2009
- 252
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Hierarchical Ensemble Support Cluster MachineChi, Mingmin / Miao, Youdong / Tang, Youze / Benediktsson, Jón Atli / Huang, Xuanjing et al. | 2009
- 262
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Multi-scale Stacked Sequential LearningPujol, Oriol / Puertas, Eloi / Gatta, Carlo et al. | 2009
- 272
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Unsupervised Hierarchical Weighted Multi-segmenterHaindl, Michal / Mikeš, Stanislav / Pudil, Pavel et al. | 2009
- 283
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Ant Clustering Using Ensembles of PartitionsGu, Yuhua / Hall, Lawrence O. / Goldgof, Dmitry B. et al. | 2009
- 293
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Selective Ensemble under Regularization FrameworkLi, Nan / Zhou, Zhi-Hua et al. | 2009
- 304
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Criteria Ensembles in Feature SelectionSomol, Petr / Grim, Jiří / Pudil, Pavel et al. | 2009
- 314
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Network Protocol Verification by a Classifier Selection EnsembleGargiulo, Francesco / Kuncheva, Ludmila I. / Sansone, Carlo et al. | 2009
- 324
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Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line KernelsTatarchuk, Alexander / Sulimova, Valentina / Windridge, David / Mottl, Vadim / Lange, Mikhail et al. | 2009
- 335
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Improved Uniformity Enforcement in Stochastic DiscriminationPrior, Matthew / Windeatt, Terry et al. | 2009
- 344
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An Information Theoretic Perspective on Multiple Classifier SystemsBrown, Gavin et al. | 2009
- 354
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Constraints in Weighted AveragingTomas, Amber et al. | 2009
- 364
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FaSS: Ensembles for Stable LearnersTing, Kai Ming / Wells, Jonathan R. / Tan, Swee Chuan / Teng, Shyh Wei / Webb, Geoffrey I. et al. | 2009
- 375
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Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training DataWaske, Björn / Benediktsson, Jon Atli / Sveinsson, Johannes R. et al. | 2009
- 385
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Terrain Segmentation with On-Line Mixtures of Experts for Autonomous Robot NavigationProcopio, Michael J. / Kegelmeyer, W. Philip / Grudic, Greg / Mulligan, Jane et al. | 2009
- 398
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Consistency Measure of Multiple Classifiers for Land Cover Classification by Remote Sensing ImageDu, Peijun / Li, Guangli / Zhang, Wei / Wang, Xiaomei / Sun, Hao et al. | 2009
- 408
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Target Identification from High Resolution Remote Sensing Image by Combining Multiple ClassifiersDu, Peijun / Sun, Hao / Zhang, Wei et al. | 2009
- 418
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Neural Network Optimization for Combinations in Identification SystemsTulyakov, Sergey / Govindaraju, Venu et al. | 2009
- 428
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MLP, Gaussian Processes and Negative Correlation Learning for Time Series PredictionAzmy, Waleed M. / Gayar, Neamat / Atiya, Amir F. / El-Shishiny, Hisham et al. | 2009
- 438
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Diversity-Based Classifier Selection for Adaptive Object TrackingVisentini, Ingrid / Kittler, Josef / Foresti, Gian Luca et al. | 2009
- 448
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Ensemble Based Data Fusion for Gene Function PredictionRe, Matteo / Valentini, Giorgio et al. | 2009
- 458
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A Cascade Multiple Classifier System for Document CategorizationXu, Jian-Wu / Singh, Vartika / Govindaraju, Venu / Neogi, Depankar et al. | 2009
- 468
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Maximum Membership Scale SelectionLoog, Marco / Li, Yan / Tax, David M. J. et al. | 2009
- 478
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An Empirical Study of a Linear Regression Combiner on Multi-class Data SetsZhang, Chun-Xia / Duin, Robert P. W. et al. | 2009
- 488
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A Study of Random Linear Oracle EnsemblesAhmad, Amir / Brown, Gavin et al. | 2009
- 498
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Stacking for Ensembles of Local Experts in Metabonomic ApplicationsLienemann, Kai / Plötz, Thomas / Fink, Gernot A. et al. | 2009
- 509
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Boosting Support Vector Machines SuccessfullyTing, Kai Ming / Zhu, Lian et al. | 2009
- 519
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Manifold Learning for Multi-classifier Systems via EnsemblesCrawford, Melba / Kim, Wonkook et al. | 2009
- 529
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When Semi-supervised Learning Meets Ensemble LearningZhou, Zhi-Hua et al. | 2009