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ORCID5. MLDM 2007 Posters: Leipzig, Germany
- Petra Perner:
Machine Learning and Data Mining in Pattern Recognition, 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Post Proceedings. ibai Publishing 2007, ISBN 978-3-940501-00-4
Text and Document Mining
- Euthimios Badekas, Nikos A. Nikolaou, Nikos Papamarkos:
Text Localization and Binarization in Complex Color Documents. MLDM Posters 2007: 1-15 - Lazaro S. P. Busagala, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura:
Integrated Feature Analysis For Automatic Text Classification. MLDM Posters 2007: 16-26 - Jose Ignacio Serrano, Ángel Iglesias, M. Dolores del Castillo:
Text Similarity Based on a Cognitive Model of Reading. MLDM Posters 2007: 27-40 - Julien Velcin, Jean-Gabriel Ganascia:
A Tabu-based Approach for Topic Extraction. MLDM Posters 2007: 41-54 - Jeong-Hoon Ji, Gyun Woo, Sang-Hyun Park, Hwan-Gue Cho:
An Intelligent System for Detecting Source Code Plagiarism Using a Probabilistic Graph Model. MLDM Posters 2007: 55-69
Image Mining
- Zhiwen Yu, Shaohong Zhang, Jiqi Zhang, Hau-San Wong:
3D Head Model Classification based on Bayesian classifer. MLDM Posters 2007: 70-79 - Zhiwen Yu, Shaohong Zhang, Jiqi Zhang, Hau-San Wong:
3D Head Model Classification based on Cluster Ensemble. MLDM Posters 2007: 80-89 - P. Papadimitriou, Nikos Papamarkos:
Color Reduction by Combining Kohonen SOFM and Learning Vector Quantization. MLDM Posters 2007: 90-104 - Fritz Jetzek, Hermann-Josef Kaiser:
A Geometric Model of Cytoskeletal Tension in Adherent Cells. MLDM Posters 2007: 105-119 - Jean-Baptiste Bordes, Henri Maître:
Semantic Annotation of Satellite Images. MLDM Posters 2007: 120-133
Network Mining
- Chung-Yuan Huang, Chia-Ying Cheng, Chuen-Tsai Sun:
Mining Bridge and Brick Network Motifs. MLDM Posters 2007: 134-143 - Yusuf Yaslan, Zehra Cataltepe:
A Comparison Framework of Similarity Metrics Used for Web Access Log Analysis. MLDM Posters 2007: 144-152
Support Vector Machines
- Elkin García, Fernando Lozano:
Boosting Support Vector Machines. MLDM Posters 2007: 153-167
Feature Selection, Feature Maps
- Terry Windeatt, Matthew Prior, Niv Effron, Nathan Intrator:
Ensemble-based Feature Selection Criteria. MLDM Posters 2007: 168-182 - Anjin Park, Keechul Jung:
Clustering of Trained Self-organizing Feature Maps based on s-t Graph Cut. MLDM Posters 2007: 183-195
Prediction and Classfication
- Brian Burford:
The K29* Algorithm for Linear Prediction. MLDM Posters 2007: 196-210 - Irene M. Cramer, Barbara Rauch, Hagen Fürstenau, Dan Shen, Maria Staudte:
Predicting Classification Decisions with Data Point Based Meta-learning. MLDM Posters 2007: 211-215 - Davy Sannen, Hendrik Van Brussel, Marnix Nuttin:
Classifier Fusion Using Discounted Dempster-Shafer Combination. MLDM Posters 2007: 216-230 - Vladimir A. Fursov, Irina Kulagina, Nikita Kozin:
Building of Classifiers Based on Conjugation Indices. MLDM Posters 2007: 231-235 - Ghada Hany Badr:
Optimized Similarity Measure Over Trie. MLDM Posters 2007: 236-150 - Indre Zliobaite:
Ensemble Learning for Concept Drift Handling - the Role of New Expert. MLDM Posters 2007: 251-260
Sequence Mining
- Trevor Parsons, John Murphy, Patrick O'Sullivan:
Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems. MLDM Posters 2007: 261-275 - Siyamand Ayubi, Ahmad Baraani-Dastjerdi, Amir Hassan Monadjemi, Maybin K. Muyeba:
A Novelty Detection Method Based on Frequent Itemsets. MLDM Posters 2007: 276-286
Sampling Methods
- Jorge de la Calleja, Olac Fuentes:
Learning from Imbalanced Datasets using a Distance-based Over-sampling Method. MLDM Posters 2007: 287-
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