Advances in Information Systems Science
Published on 6. December 2012
XIV, 354 pages
978-1-4615-8243-4 (ISBN)
Description
Information systems science embraces a broad spectrum of topics. It is vir tually impossible to provide comprehensive and in-depth discussion, other than simple recitals of recent results, of every important topic in each volume of this annual review series. Since we have chosen the former approach, each volume will only cover certain aspects of recent advances in this bur geoning field. The emphasis in this volume, the third of a continuing series, is focussed upon pattern recognition, pictorial information manipulation, and new approaches to logical design of information networks. In Chapter 1, V. A. Kovalevsky presents a tutorial survey of practical and theoretical developments in pattern recognition. He categorizes the basic developments in three different directions. The first direction is charac terized by an empirical treatment with highly specialized recognition schemes. In the second direction, the major efforts are centered upon the cre ation of learning systems capable of improving recognition performance on the basis of past experience. The majority of the work in the third direction is devoted to the study of the basic structure of complex patterns, the con struction of mathematical models for pattern recognition, and the analysis of complex pictorial representations. The author elucidates the "heuristics" approach and the "science" approach to pattern recognition problems. This chapter together with Chapter 2 of this volume supplements the chapter on Engineering Principles of Pattern Recognition in Volume 1 to provide a more complete treatment of this subject.
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Julius T. Tou
Advances in Information Systems Science
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01/1970
Kluwer Academic/Plenum Publishers
€109.13
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Content
1 Pattern Recognition: Heuristics or Science?.- 1. Introduction.- 2. Principal Directions in Pattern Recognition.- 3. Parametric Models of Signals.- 4. The Method of Permissible Transformations.- 5. Methods of Analyzing Complex Pictures.- 6. Conclusions.- References.- 2 Feature Compression.- 1. The Role of "Features" in Pattern Recognition.- 2. A Concrete Example of Feature Compression-Handwritten ZIP Code Reader.- 3. Discriminatory Feature Compression-SELFIC.- 4. Characteristic Feature Compression-CLAFIC.- 5. Implications of Subspace Model-Fuzzy Class.- References.- 3 Image Processing Principles and Techniques.- 1. Introduction.- 2. Filter Theory Applied to Images.- 3. Statistical Decision Theory.- 4. Adaptive Network Approaches.- 5. Image Features.- 6. Implementations: Staging.- 7. Implementations: Parallelism.- 8. Electrooptical Devices.- 9. Digital Computers.- 10. Optical Techniques.- 11. Comparison of Implementations.- 12. Conclusions.- References.- 4 Computer Graphics.- 1. Introduction.- 2. Devices for Computer Graphics.- 3. Modes of Interactive Graphic Systems.- 4. Data Structures.- 5. Graphics Software.- 6. Graphic Languages.- 7. Conclusions.- Appendix 1. Choice of Equations for Generating a Circle.- Appendix 2. Method Given by Forrest for Parametrizing a Conic.- References.- 5 Logical Design of Optimal Digital Networks by Integer Programming.- 1. Introduction.- 2. Features of Logical Design by Integer Programming.- 3. Design of an Optimal Combinational Network with a Given Type of Gate by Integer Programming.- 4. Design of an Optimal Combinational Network with Building Blocks (or Composite Gates) by Integer Programming.- 5. Other Applications of the Integer Programming Logical Design Method.- 6. Concluding Remarks.- References.
