Machine Learning and Data Mining in Pattern Recognition First International Workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Perner, Petra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Petrou, Maria (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
• Έκδοση: 1st ed. 1999.
• Σειρά: Lecture Notes in Artificial Intelligence ; 1715
• Θέματα: Artificial intelligence.; Pattern recognition.; Database management.; Optical data processing.; Artificial Intelligence.; Pattern Recognition.; Database Management.; Image Processing and Computer Vision.

The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing...

Πίνακας περιεχομένων:

• Invited Papers
• Learning in Pattern Recognition
• Advances in Predictive Data Mining Methods
• Neural Networks Applied to Image Processing and Recognition
• Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition
• A Dynamics of the Hough Transform and Artificial Neural Networks
• Applications of Cellular Neural Networks for Shape from Shading Problem
• Learning in Image Pre-Processing and Segmentation
• Unsupervised Learning of Local Mean Gray Values for Image Pre-processing
• Neural Networks in MR Image Estimation from Sparsely Sampled Scans
• Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function
• Image Retrieval
• Independent Feature Analysis for Image Retrieval
• Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
• Classification and Image Interpretation
• Automatic Design of Multiple Classifier Systems by Unsupervised Learning
• A Comparison between Neural Networks and Decision Trees
• Symbolic Learning and Neural Networks in Document Processing
• Symbolic Learning Techniques in Paper Document Processing
• Recognition of Printed Music Score
• Data Mining
• Reproductive Process-Oriented Data Mining from Interactions between Human and Complex Artifact System
• Generalised Fuzzy Aggregation Operators
• A Data Mining Application for Monitoring Environmental Risks.