Information Fusion, Volume 9

Volume 9, Number 1, January 2008

• Belur V. Dasarathy:
  A special issue on applications of ensemble methods. 1
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• Nikunj C. Oza, Kagan Tumer:
  Applications of ensemble methods. 2-3
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• Nikunj C. Oza, Kagan Tumer:
  Classifier ensembles: Select real-world applications. 4-20
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• Jaakko Suutala, Juha Röning:
  Methods for person identification on a pressure-sensitive floor: Experiments with multiple classifiers and reject option. 21-40
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• Mohammad Assaad, Romuald Boné, Hubert Cardot:
  A new boosting algorithm for improved time-series forecasting with recurrent neural networks. 41-55
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• Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen:
  Dynamic integration of classifiers for handling concept drift. 56-68
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• Giorgio Giacinto, Roberto Perdisci, Mauro Del Rio, Fabio Roli:
  Intrusion detection in computer networks by a modular ensemble of one-class classifiers. 69-82
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• Robi Polikar, Apostolos Topalis, Devi Parikh, Deborah Green, Jennifer Frymiare, John Kounios, Christopher M. Clark:
  An ensemble based data fusion approach for early diagnosis of Alzheimer's disease. 83-95
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• João B. D. Cabrera, Carlos Gutiérrez, Raman K. Mehra:
  Ensemble methods for anomaly detection and distributed intrusion detection in Mobile Ad-Hoc Networks. 96-119
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• Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer:
  Using classifier ensembles to label spatially disjoint data. 120-133
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Volume 9, Number 2, April 2008

• Belur V. Dasarathy:
  Editorial recognition of another milestone. 141
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• Aureli Soria-Frisch, Mario Köppen:
  Image enhancement through intelligent localized fusion operators in the automated visual inspection of highly reflective surfaces. 142-155
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• Cui Yang, Jian-Qi Zhang, Xiao-Rui Wang, Xin Liu:
  A novel similarity based quality metric for image fusion. 156-160
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• Yin Chen, Zhiyun Xue, Rick S. Blum:
  Theoretical analysis of an information-based quality measure for image fusion. 161-175
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• Zhaobin Wang, Yide Ma:
  Medical image fusion using m-PCNN. 176-185
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• Yufeng Zheng, Edward A. Essock:
  A local-coloring method for night-vision colorization utilizing image analysis and fusion. 186-199
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• Richa Singh, Mayank Vatsa, Afzel Noore:
  Hierarchical fusion of multi-spectral face images for improved recognition performance. 200-210
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• Lionel Valet, Emmanuel Ramasso, Sylvie Teyssier:
  Quality evaluation of insulating parts by fusion of classifiers issued from tomographic images. 211-222
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• Zengyou He, Xiaofei Xu, Shengchun Deng:
  k-ANMI: A mutual information based clustering algorithm for categorical data. 223-233
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• Yann Lemeret, E. Lefevre, Daniel Jolly:
  Improvement of an association algorithm for obstacle tracking. 234-245
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• David Mercier, Benjamin Quost, Thierry Denoeux:
  Refined modeling of sensor reliability in the belief function framework using contextual discounting. 246-258
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• Simon Maskell:
  A Bayesian approach to fusing uncertain, imprecise and conflicting information. 259-277
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• V. Phan-Luong:
  A framework for integrating information sources under lattice structure. 278-292
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• Shu-Li Sun:
  Multi-sensor optimal fusion fixed-interval Kalman smoothers. 293-299
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• Zi-Li Deng, Yuan Gao, Gui-Li Tao:
  Reduced-order steady-state descriptor Kalman fuser weighted by block-diagonal matrices. 300-309
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• Zeshui Xu:
  Dependent uncertain ordered weighted aggregation operators. 310-316
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• Branko Ristic, Ajith Gunatilaka:
  Information driven localisation of a radiological point source. 317-326
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