This book is the outcome of a NATO Advanced Study Institute on Pattern Recog­ nition Theory and Applications held in Spa-Balmoral, Belgium, in June 1986. This Institute was the third of a series which started in 1975 in Bandol, France, at the initia­ tive of Professors K.

Statistical Methods and Clustering Techniques.- 1. Advances in statistical pattern recognition.- 2. Texture subspaces.- 3. Automatic selection of a discrimination rule based upon minimization of the empirical risk.- 4. Linear models in spatial discriminant analysis.- 5. Non supervised classification tools adapted to supervised classification.- 6. The bootstrap approach to clustering.- 7. On the distribution equivalence in cluster analysis.- 8. Spatial point processes and clustering tendency in exploratory data analysis.- Probabilistic Relaxation Techniques.- 9. Relaxation labelling.- 10. Optimisation algorithms in probabilistic relaxation labelling.- 11. Feature point matching using temporal smoothness in velocity.- 12. Multiresolutional cluster segmentation using spatial context.- From Markovian to Connectionist Models.- 13. Learning the parameters of a hidden Markov random field image model: A simple example.- 14. Locating texture and object boundaries.- 15. Simulated annealing: A pedestrian review of the theory and some applications.- 16. The detection of geological fault lines in radar images.- 17. Speech recognition experiment with 10,000 words dictionary.- 18. Adaptive networks and speech pattern processing.- 19. Energy methods in connectionist modelling.- 20. Learning and associative memory.- 21. Network representations and match filters for invariant object recognition.- Graph Theory And Geometry.- 22. Problems and possible solutions in the analysis of sparse images.- 23. Stochastic geometry and perception.- 24. Computational geometry: Recent results relevant to pattern recognition.- Structural Methods.- 25. Structural methods in pattern analysis.- 26. Structural pattern recognition: A random graph approach.- 27. Inexact graph matching used in machine vision.- 28. Development of an incremental graph matching device.- Hybrid Methods And Fuzzy Sets.- 29. Hybrid methods in pattern recognition.- 30. Fuzzy sets in pattern recognition.- Knowledge-Based Recognition Techniques.- 31. Classification problem solving: A tutorial from an AI perspective.- 32. On the structure of parallel adaptive search.- 33. Three dimensional organ recognition by tomographic image analysis.- 34. Knowledge-based computer recognition of speech.- 35. Modelling (sub)string-Iength based constraints through a grammatical inference method.- Machine Vision And Image Processing.- 36. Intrinsic characteristics as the interface between CAD and machine vision systems.- 37. The tensor differential scale space representation.- 38. The application of image tensors and a new decomposition.- 39. Image understanding strategies: Application to electron microscopy.- 40. A diffusion-based description of shape.- 41. Statistical evaluation of computer extracted blood cell features for screening populations to detect leukemias.- 42. Tissue image segmentation with multicolor, multifocal algorithms.- 43. Methods for computer analysis and comparison of two-dimensional protein patterns obtained by electrophoresis.- List Of Participants.