Data representations and machine learning techniques
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/BFb0052838
Reference8 articles.
1. F. Bergadano and A. Giordana. Guiding Induction with Domain Theories. In Y. Kodratoff and R.S. Michalski, editors, Machine Learning: An Artificial Intelligence Approach, volume 3, chapter 17, pages 474–492. Morgan Kaufmann, Los Altos, CA, 1990.
2. W. F. Bischof and T. M. Caelli. Learning Structural Descriptions of Patterns: A New Technique for Conditional Clustering and Rule Generation. Pattern Recognition, 27(5):689–697, 1994.
3. T. M. Caelli and W. F. Bischof. The Role of Machine Learning in Building Image Interpretation Systems. In T.M.Caelli, H. Bunke, and C. P. Lam, editors, Spatial Computing: Issues in Vision, Multi-media and Visualisation Technologies. World Scientific, 1997.
4. A. K. Jain and R. Hoffman. Evidence-Based Recognition of 3-D Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 10(6):783–802, 1988.
5. David G. Lowe. Perceptual Organisation and Visual Recognition. Kluwer Academic, 1985.
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