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2. MLDM 2001: Leipzig, Germany
- Petra Perner:
Machine Learning and Data Mining in Pattern Recognition, Second International Workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001, Proceedings. Lecture Notes in Computer Science 2123, Springer 2001, ISBN 3-540-42359-1
Invited Papers
- Ari Visa:
Technology of Text Mining. 1-11 - Ulrich Sack, Manja Kamprad:
Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining. 12-22
Case-Based Reasoning and Associative Memory
- Rainer Schmidt, Lothar Gierl:
Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications. 23-34 - Petra Perner:
Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin? 35-51 - Seok-Woo Jang
, Gye-Young Kim, Hyung-Il Choi:
FAM-Based Fuzzy Inference for Detecting Shot Transitions. 52-61
Rule Induction and Grammars
- Nitin Indurkhya, Sholom M. Weiss:
Rule-Based Ensemble Solutions for Regression. 62-72 - Henning Fernau
Learning XML Grammars. 73-87 - Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi:
First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps. 88-101
Clustering and Conceptual Clustering
- Bir Bhanu
Concepts Learning with Fuzzy Clustering and Relevance Feedback. 102-116 - José Francisco Martínez Trinidad, Guillermo Sánchez-Díaz
LC: A Conceptual Clustering Algorithm. 117-127
Data Mining on Signal, Images, Text and Temporal-Spatial Data
- Bon K. Sy, Arjun K. Gupta:
Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data. 128-140 - Petra Perner, Tatjana P. Belikova:
A Hybrid Tool for Data Mining in Picture Archiving System. 141-156 - D. Kollmar, D. H. Hellmann:
Feature Selection for a Real-World Learning Task. 157-172 - Stefan Fischer, Horst Bunke:
Automatic Identification of Diatoms Using Decision Forests. 173-183 - Jarmo Toivonen, Ari Visa, Tomi Vesanen, Barbro Back, Hannu Vanharanta:
Validation of Text Clustering Based on Document Contents. 184-195
Nonlinear Function Learning and Neural Net Based Learning
- Mark P. Wachowiak, Renata Smolíkova, Mariofanna G. Milanova, Adel Said Elmaghraby:
Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution. 196-205 - Roland Linder, Siegfried J. Pöppl:
How to Automate Neural Net Based Learning. 206-216 - Adam Krzyzak:
Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks. 217-225
Learning for Handwriting Recognition
- Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen:
Local Learning Framework for Recognition of Lowercase Handwritten Characters. 226-238 - Meng Shi, Tetsushi Wakabayashi, Wataru Ohyama, Fumitaka Kimura:
Mirror Image Learning for Handwritten Numeral Recognition. 239-248
Statistical and Evolutionary Learning
- Thang V. Pham, Marcel Worring, Arnold W. M. Smeulders:
Face Detection by Aggregated Bayesian Network Classifiers. 249-262 - Ying Wu, Thomas S. Huang:
Towards Self-Exploring Discriminating Features. 263-277 - Atsushi Imiya, Hisashi Ootani:
PCA-Based Model Selection and Fitting for Linear Manifolds. 278-292 - Atsushi Imiya, Keisuke Iwawaki:
Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields. 293-306 - Krzysztof Krawiec
On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples. 307-321 - Vadim Mottl, Sergey D. Dvoenko, Oleg Seredin
Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification. 322-336
Content-Based Image Retrieval
- Giorgio Giacinto, Fabio Roli
Adaptive Query Shifting for Content-Based Image Retrieval. 337-346 - George Potamias:
Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases. 347-362
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