Tabla de Contenidos: “…10.6 Videos und Podcasts‌‌‌‌‌ -- 10.6.1 Was gemessen werden kann -- 10.6.2 Wie Sie es nutzen sollten -- 10.6.3 Was es zu beachten gilt -- Kapitel 11: Metriken und Dimensionen nutzen‌‌ -- 11.1 Beobachten -- 11.1.1 Alle Metriken‌ im Überblick -- 11.1.2 Wichtige Metriken selektieren -- 11.1.3 Reports und Dashboards‌ nutzen -- 11.2 Vergleichen‌ -- 11.2.1 Eigene Benchmarks‌ setzen -- 11.2.2 Konkurrenzvergleich‌ und externe Benchmarks‌ -- 11.3 Nachforschen -- 11.3.1 Segmentierung‌ macht den Unterschied -- 11.3.2 Einfache Ad-hoc-Segmentierung‌ -- 11.3.3 Erweiterte Segmentierung -- 11.3.4 Segmentierungsstrategien‌ und Herangehensweisen -- Teil 3: Erfolg nachhaltig steigern -- Kapitel 12: Digital-Ziele definieren‌‌‌‌ -- 12.1 Typen von Zielen -- 12.1.1 Unternehmensziele‌‌ -- 12.1.2 Benutzerziele‌‌‌ -- 12.1.3 Weitere Ziele auf Verantwortlichkeitsebene‌ -- 12.2 Vorgehen‌ zur Findung von Digitalkanal-Zielen -- 12.3 Interne Anspruchsgruppen‌‌‌ identifizieren -- 12.3.1 Direkte‌ und indirekte‌ Akteure‌ -- 12.3.2 Digital-Stakeholder-Karte‌‌ -- 12.4 Global-Ziele‌‌ und Erfolgsfaktoren‌‌ definieren -- 12.4.1 Vorbereitung eines Zielfindungsworkshops‌‌ -- 12.4.2 Workshop-Durchführung -- 12.4.3 Nachbearbeitung‌‌‌‌ -- 12.5 Benutzerziele‌‌ ergänzen -- 12.6 Zielorientierte Digitalkanal-Aktivitäten‌ und Messgrößen‌ definieren -- 12.6.1 Workshop‌-Vorbereitung -- 12.6.2 Workshop-Durchführung -- 12.6.3 Nachbearbeitung und Ausarbeitung der Messgrößen -- Kapitel 13: Zielerreichung und Conversion‌‌‌ -- 13.1 Was Conversions sind -- 13.2 Conversions nutzen -- 13.2.1 Conversions im Analytics-System messen -- 13.2.2 Verwendung von Conversion-Metriken -- 13.3 Conversion-Kosten‌‌ -- 13.4 Return on Investment‌‌ -- 13.4.1 Werte‌‌‌ von E-Commerce‌-Conversions -- 13.4.2 Werte‌‌ von Nicht-E-Commerce-Conversions‌ -- Kapitel 14: Key Performance Indicators‌‌ -- 14.1 Definition von KPIs…”

Tabla de Contenidos: “…6.2.2 Wrapper Method -- 6.2.2.1 Procedure -- 6.2.2.2 Advantages and Disadvantages -- 6.2.2.3 Forward Selection Algorithm -- 6.2.2.4 Backward Selection Algorithm -- 6.2.3 Embedded Method -- 6.2.3.1 Least Absolute Shrinkage and Selection Operator -- 6.2.3.2 Advantages -- 6.2.3.3 Disadvantages -- 6.3 Feature Extraction -- 6.3.1 Principal Component Analysis -- 6.3.1.1 Procedure -- 6.3.1.2 Implementation -- 6.3.1.3 Advantages -- 6.3.1.4 Disadvantages -- 6.3.2 Linear Discriminant Analysis -- 6.3.2.1 Concept -- 6.3.2.2 Implementation -- 6.3.2.3 Advantages -- 6.3.2.4 Disadvantages -- 6.4 Feature Learning -- 6.4.1 Supervised Learning -- 6.4.2 Unsupervised Learning -- 6.4.2.1 Procedure -- 6.4.2.2 Advantages -- 6.4.2.3 Disadvantages -- 6.4.3 Deep Learning -- 6.4.3.1 Neural Network Architecture -- 6.4.3.2 Training Process -- 6.4.3.3 Advantages -- 6.4.3.4 Disadvantages -- 6.4.4 Machine Learning and Deep Learning -- 6.5 Future Research and Development -- 6.6 Future Scope -- 6.7 Conclusion -- References -- Chapter 7 Fusion of Phase and Local Features for CBIR -- 7.1 Introduction -- 7.2 Overview of the Proposed System -- 7.3 Proposed Hybrid-Shape Descriptors -- 7.3.1 Global Feature Extraction Using ZMs -- 7.3.1.1 Recurrence Relation for Radial Polynomials Rpq(r) -- 7.3.1.2 Recurrence Relation for Trigonometric Functions -- 7.3.2 Local Feature Extraction Using Hough Transform -- 7.3.3 Features Dimension -- 7.3.4 Effectiveness of the Proposed Descriptors -- 7.4 Similarity Measurement -- 7.5 Experimental Study and Performance Evaluation -- 7.5.1 Precision and Recall (P - R) -- 7.5.2 Database Construction -- 7.5.3 Experimental Study -- 7.5.3.1 Evaluation of Image Retrieval Performance on Subject Databases -- 7.5.3.2 Evaluation of Image Retrieval Performance on Geometric and Photometric Transformed Databases -- 7.5.3.3 Evaluation of Scalability and Time Complexity…”

Tabla de Contenidos: “…Definitions and uses -- 6.3.2. c-use and p-use -- 6.3.3. Global and local definitions and uses -- 6.3.4. Data-flow graph -- 6.3.5. …”

Tabla de Contenidos: “…3.2.3 ISO C/C90 Standard -- 3.2.4 C99 Standard -- 3.3 Learning Programming Language and Natural Language: An Analogy -- 3.4 C Character Set -- 3.5 Identifiers and Keywords -- 3.5.1 Identifiers -- 3.5.2 Keywords -- 3.6 Declaration Statement -- 3.7 Data Types -- 3.7.1 Basic/Primitive Data Types -- 3.7.2 Derived Data Types -- 3.7.3 User-defined Data Types -- 3.8 Type Qualifiers and Type Modifiers -- 3.8.1 Type Qualifiers -- 3.8.2 Type Modifiers -- 3.9 Difference Between Declaration and Definition -- 3.10 Data Object, L-value and R-value -- 3.10.1 Data Object -- 3.10.2 L-value -- 3.10.3 R-value -- 3.11 Variables and Constants -- 3.11.1 Variables -- 3.11.2 Constants -- 3.11.2.1 Literal Constant -- 3.11.2.1.1 Integer Literal Constant -- 3.11.2.1.2 Floating Point Literal Constant -- 3.11.2.1.3 Character Literal Constant -- 3.11.2.1.3.1 Printable Character Literal Constant -- 3.11.2.1.3.2 Non-printable Character Literal Constant -- 3.11.2.1.4 String Literal Constant -- 3.11.2.2 Qualified Constants -- 3.11.2.3 Symbolic Constants -- 3.12 Structure of a C Program -- 3.12.1 Comments -- 3.12.1.1 Single-line Comment -- 3.12.1.2 Multi-line Comment -- 3.12.2 Section1: Preprocessor Directive Section -- 3.12.3 Section 2: Global Declaration Section -- 3.12.4 Section 3: Functions Section -- 3.12.4.1 Header of a Function -- 3.12.4.2 Body of a Function -- 3.13 Executing a C Program -- 3.14 Compilation and Linking process -- 3.15 More Programs for Startup -- 3.16 Summary -- Exercise Questions -- Conceptual Questions and Answers -- Code Snippets -- Multiple-choice Questions -- Outputs and Explanations to Code Snippets -- Answers to Multiple-choice Questions -- Programming Exercises -- Test Yourself -- 4: Operators and Expressions -- 4.1 Introduction -- 4.2 Expressions -- 4.2.1 Operands -- 4.2.2 Operators -- 4.3 Simple Expressions and Compound Expressions…”

Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA

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