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Pattern Analysis [electronic resource] /
This book is devoted to pattern analysis, that is, the automatic construc tion of a symbolic description for a complex pattern, like an image or con nected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected ap plications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem. It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of modules operating on a common data base which contains interme processing diate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, be cause the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters.
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| Main Authors: | , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Berlin, Heidelberg : Springer Berlin Heidelberg,
1981
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| Subjects: | Computer science., Image processing., Computer Science., Image Processing and Computer Vision., |
| Online Access: | http://dx.doi.org/10.1007/978-3-642-96650-7 |
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KOHA-OAI-TEST:179292 |
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koha |
| institution |
COLPOS |
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Koha |
| country |
México |
| countrycode |
MX |
| component |
Bibliográfico |
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En linea En linea |
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cat-colpos |
| tag |
biblioteca |
| region |
America del Norte |
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Departamento de documentación y biblioteca de COLPOS |
| language |
eng |
| topic |
Computer science. Image processing. Computer Science. Image Processing and Computer Vision. Computer science. Image processing. Computer Science. Image Processing and Computer Vision. |
| spellingShingle |
Computer science. Image processing. Computer Science. Image Processing and Computer Vision. Computer science. Image processing. Computer Science. Image Processing and Computer Vision. Niemann, Heinrich. author. SpringerLink (Online service) Pattern Analysis [electronic resource] / |
| description |
This book is devoted to pattern analysis, that is, the automatic construc tion of a symbolic description for a complex pattern, like an image or con nected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected ap plications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem. It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of modules operating on a common data base which contains interme processing diate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, be cause the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters. |
| format |
Texto |
| topic_facet |
Computer science. Image processing. Computer Science. Image Processing and Computer Vision. |
| author |
Niemann, Heinrich. author. SpringerLink (Online service) |
| author_facet |
Niemann, Heinrich. author. SpringerLink (Online service) |
| author_sort |
Niemann, Heinrich. author. |
| title |
Pattern Analysis [electronic resource] / |
| title_short |
Pattern Analysis [electronic resource] / |
| title_full |
Pattern Analysis [electronic resource] / |
| title_fullStr |
Pattern Analysis [electronic resource] / |
| title_full_unstemmed |
Pattern Analysis [electronic resource] / |
| title_sort |
pattern analysis [electronic resource] / |
| publisher |
Berlin, Heidelberg : Springer Berlin Heidelberg, |
| publishDate |
1981 |
| url |
http://dx.doi.org/10.1007/978-3-642-96650-7 |
| work_keys_str_mv |
AT niemannheinrichauthor patternanalysiselectronicresource AT springerlinkonlineservice patternanalysiselectronicresource |
| _version_ |
1756264528887152640 |
| spelling |
KOHA-OAI-TEST:1792922018-07-30T22:58:46ZPattern Analysis [electronic resource] / Niemann, Heinrich. author. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg,1981.engThis book is devoted to pattern analysis, that is, the automatic construc tion of a symbolic description for a complex pattern, like an image or con nected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected ap plications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem. It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of modules operating on a common data base which contains interme processing diate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, be cause the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters.1 Introduction -- 1.1 General Remarks -- 1.2 Definition of Concepts -- 1.3 Principal Approach -- 1.4 Scope of the Book -- 1.5 Applications -- 1.6 Related Fields -- 1.7 Summary -- 2 Preprocessing -- 2.1 Coding -- 2.2 Normalization -- 2.3 Filtering -- 2.4 Linear Prediction -- 3 Simple Constituents -- 3.1 Common Principles -- 3.2 Thresholding -- 3.3 Contours -- 3.4 Regions -- 3.5 Texture -- 3.6 Image Sequences -- 3.7 Template Matching -- 3.8 Segmentation of Speech -- 3.9 Summary -- 4 Classification -- 4.1 Statistical Classification -- 4.2 Distribution-Free Classification -- 4.3 Nonparametric Classification -- 4.4 Learning -- 4.5 Additional Remarks -- 4.6 Summary -- 5 Data -- 5.1 Data Structures -- 5.2 Data Bases -- 5.3 Pattern Data -- 5.4 Summary -- 6 Control -- 6.1 The Problem -- 6.2 Interaction -- 6.3 Some Common Structures -- 6.4 Representation of Control -- 6.5 Control and Search Strategies -- 6.6 Summary -- 7 Knowledge Representation, Utilization, and Acquisition -- 7.1 Views of Knowledge -- 7.2 Production Systems -- 7.3 Grammars -- 7.4 Graphs -- 7.5 Using Constraints -- 7.6 Acquisition of Knowledge (Learning) -- 7.7 Summary -- 8 Systems for Pattern Analysis -- 8.1 Speech Understanding -- 8.2 Image Analysis -- 8.3 Summary -- 9 Things to Come -- References.This book is devoted to pattern analysis, that is, the automatic construc tion of a symbolic description for a complex pattern, like an image or con nected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected ap plications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem. It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of modules operating on a common data base which contains interme processing diate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, be cause the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters.Computer science.Image processing.Computer Science.Image Processing and Computer Vision.Springer eBookshttp://dx.doi.org/10.1007/978-3-642-96650-7URN:ISBN:9783642966507 |