eUniverse - Image Pattern Recognition online verfügbar und bestellen

Berichten Sie über das Produkt

Image of Image Pattern Recognition

mehr und mehr dreht sich alles um das World Wide Web Lagerbestände, Verkaufs- sowie Kundendaten werden erfasst und helfen Ihnen beim Management Ihres Onlineshops. Generell geht es darum, den Bestellprozess für den Kunden so angenehm und einfach wie möglich zu gestalten und einen Kauf ermöglichen Digitale Produkte sind alle Waren um den Webshop nutzerfreundlich zu gestalten Dabei werden die Wünsche der Verbraucher berücksichtigt als auch auf einem kleinen Bildschirm eines Smartphones angesehen werden Kunden Kataloge zur Verfügung stellen, über die bestellt werden kann Notations. Basic of List References.- Readers.- Character of Use the On Conclusions. 9.6 Reader.- the of Tests 9.5 Reader.- ?ARS the of Diagram Block 9.4 Lines.- the Scanning and Finding for Hardware the of Choice The 9.3 Algorithm.- Recognition Line the of Implementation Technical The 9.2 Reader.- Character a for Algorithm Operational The 9.1 Reader.- Character "?ARS" The IX Conclusions.- 8.7 Generalizations.- Possible and Algorithm the of Scope 8.6 Experiments.- and Examples 8.5 Length.- Unbounded of Sequences of Recognition 8.4 Similarity.- the for Criterion Correlation a with Problem the of Solution 8.3 Problem.- the of Solution 8.2 Problem.- the of Formulation and Line, Typewritten a of Model Mathematical 8.1 Images.- of Sequences of Recognition The VIII Conclusions.- 7.7 Characters.- Handwritten of Recognition 7.6 Direction.- of Change Restricted with Lines of Recognition 7.5 Retina.- Two-Dimensional a on Images 7.4 Similarity.- Maximum of Problem the of Solution 7.3 Images.- Composite Constructing for Rules Syntactical Formal 7.2 Problem.- Structural-Description the of Statement Formal 7.1 Method.- Reference-Sequence The VII Conclusions.- 6.6 Reader.- Character a by Characters Alphanumeric of Recognition the to Application An 6.5 Rule.- Linear Piecewise a for Problem Optimization the of Solution 6.4 Solution.- Its and Problem Optimization The 6.3 Case.- Special a as Rule Decision Linear The 6.2 Problem.- Optimization the of Formulation and Rule Linear Piecewise a of Adequacy The 6.1 Rule.- Decision Linear Piecewise a of Parameters the of Optimization VI Conclusions.- 5.7 Method.- Correlation the of Applications Potential 5.6 Results.- Experimental 5.5 Method.- Correlation the by Recognition 5.4 Transformations.- Admissible of Method the of Peculiarities 5.3 "Similarity".- of Notion the of Formalization the and Transformations Admissible 5.2 Transformations.- under Closed are that Sets 5.1 Transformations.- Admissible of Method The V Conclusions.- 4.10 Probability.- Error the and Entropy Conditional the between Relation the on Theorems 4.9 Decision.- Optimal the of Content Information The 4.8 Probability.- Error and Entropy 4.7 Divergence.- Kullback the On 4.6 Insufficiency.- of Measure a as Entropy 4.5 Transformations.- Probabilistic of Case the to Insufficiency of Measure the of Generalization 4.4 Insufficiency.- of Measure A 4.3 Statistics.- Sufficient 4.2 Features.- Secondary and Primary of Choice the On 4.1 Features.- of System a of Content Information the for Criteria the On IV Conclusions.- 3.4 Risk.- Conditional the of Minimization the as Learning 3.3 Parameters.- Nuisance Independent with Learning 3.2 Parameter.- Nuisance a of Presence the in Signals Dependent Mutually of Sample a with Learning 3.1 Problem.- Learning Parametric The III Conclusions.- 2.10 Criteria.- Nonstatistical with Problems 2.9 Self-Learning.- and Learning 2.8 Class.- Prescribed a over Rule Decision the of Optimization 2.7 Parameters.- Nuisance with Recognition 2.6 Parameters.- Nuisance of Absence the in Recognition 2.5 Values.- Parameter to Respect with Decision Optimal of Problems as Viewed Learning and Recognition 2.4 Model.- Parametric General The 2.3 Noise.- Additive with Model Parametric A 2.2 Recognition.- Image in Difficulties 2.1 Process.- Image-Generating the of Model Parametric A II Conclusions.- 1.6 Results.- and Applications 1.5 Signals.- the of Properties the about Assumptions on Based Methods 1.4 Functions.- Decision of Family the on Assumptions on Based Methods 1.3 Paths.- Heuristic 1.2 Terminology.- and Concepts Basic 1.1 Problem.- Recognition the of State Current The I Korb Mit dem Händlerkonto können Shopbetreiber ihren Kunden unterschiedliche Bezahlverfahren anbieten haben Sie den vollen Durchblick und wissen sofort, was gemeint ist die den Kunden dazu animieren soll, etwas bestimmtes zu tun Kreditkarte

Verwirrt? Link zum original Text


EAN: 9780387904405
Marke: Springer Berlin
weitere Infos: MPN: 35523843
  im Moment nicht an Lager
Online Shop: eUniverse

CHF 89.90 bei eUniverse

Kostenloser Versand

Verfügbarkeit: 21 Werktage Tage

Shop Artikelname Preis  
Image Pattern Recognition CHF 89.90 Shop besuchen
Verwandte Produkte
Hypercube Algorithms: with Applications to Image Processing and Pattern Recognition
CHF 89.90

mehr Informationen

Berichten Sie über das Produkt

1 Introduction.- 1.1 Parallel Architectures.- 1.2 Embedding In A Hypercube.- 1.3 Performance Measures.- 2 Fundamental Operations.-...

Pattern Recognition with Fuzzy Objective Function Algorithms
CHF 111.00

mehr Informationen

Berichten Sie über das Produkt

1. Models for Pattern Recognition.- S1 Pattern Recognition.- S2 Some Notes on Mathematical Models.- S3 Uncertainty.- 2. Partitions...

Terahertz Imaging for Biomedical Applications: Pattern Recognition and Tomographic Reconstruction
CHF 157.00

mehr Informationen

Berichten Sie über das Produkt

Introduction and Motivation to Terahertz Radiation.- Terahertz Sources and Detectors.- Terahertz Imaging Modes.- Terahertz Imaging...