Kamis, 27 November 2014

Download Digital Neuromarketing: The Psychology Of Persuasion In The Digital AgeBy Sam Page

Download Digital Neuromarketing: The Psychology Of Persuasion In The Digital AgeBy Sam Page

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Digital Neuromarketing: The Psychology Of Persuasion In The Digital AgeBy Sam Page

Digital Neuromarketing: The Psychology Of Persuasion In The Digital AgeBy Sam Page


Digital Neuromarketing: The Psychology Of Persuasion In The Digital AgeBy Sam Page


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Digital Neuromarketing: The Psychology Of Persuasion In The Digital AgeBy Sam Page

Marketing is psychology, in practice. That’s all it is.

This book will introduce you to fascinating research in the areas of social psychology and consumer behavior. But more importantly, this book will show you exactly how you can apply these research findings to acquire more customers for your business.

Focused specifically on digital marketing strategies, Digital Neuromarketing is packed full of examples and screenshots from some of the world’s most successful online companies.

The purpose of this book is to eliminate the guesswork for you. To equip you with insights that facilitate a far greater, and much more predictable return for every dollar you spend on digital advertising.

Sam Page is a nationally registered consumer psychologist. He is also the #1 International Best Selling author of Going Up: Proven Strategies for Reaching Higher Levels in Business, and Unconscious Marketing: 25 Cognitive Biases That Compel Your Customers To Buy (Without Them Knowing).

Sam is the founder of NeuroTriggers Agency, the world’s only full service neuromarketing firm. 

  • Sales Rank: #333503 in Books
  • Published on: 2015-09-16
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.02" h x .52" w x 5.98" l, .74 pounds
  • Binding: Paperback
  • 248 pages

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Jumat, 07 November 2014

Ebook Download Object Detection and Recognition in Digital Images: Theory and PracticeBy Boguslaw Cyganek

Ebook Download Object Detection and Recognition in Digital Images: Theory and PracticeBy Boguslaw Cyganek

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Object Detection and Recognition in Digital Images: Theory and PracticeBy Boguslaw Cyganek


Object Detection and Recognition in Digital Images: Theory and PracticeBy Boguslaw Cyganek


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Object Detection and Recognition in Digital Images: Theory and PracticeBy Boguslaw Cyganek

Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields.

Key features:

  • Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications.
  • Places an emphasis on tensor and statistical based approaches within object detection and recognition.
  • Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods.
  • Contains numerous case study examples of mainly automotive applications.
  • Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

  • Sales Rank: #1858969 in eBooks
  • Published on: 2013-05-20
  • Released on: 2013-05-20
  • Format: Kindle eBook

From the Back Cover

Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields.

Key features:

  • Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications.
  • Places an emphasis on tensor and statistical based approaches within object detection and recognition.
  • Provides an overview of image clustering and classifi cation methods which includes subspace and kernel based processing, mean shift and Kalman fi lter, neural networks, and k-means methods.
  • Contains numerous case study examples of mainly automotive applications.
  • Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

Companion Website: http://www.wiley.com/go/cyganekobject

About the Author

Boguslaw Cyganek received his M.Sc. degree in electronics in 1993, then in computer science in 1996 from the AGH University of Science and Technology, Krakow, Poland. He obtained his Ph.D. degree cum laude in 2001 with a thesis on correlation of stereo images, and D.Sc. degree in 2011 with a thesis on methods and algorithms of object recognition in digital images. During the recent years, Dr. Boguslaw Cyganek has been cooperating with many scientific centers in development of computer vision systems. He has also gained several years of practical experience working as a Software Development Manager and a Senior Software Engineer both in the USA and Poland. He is currently a researcher and lecturer at the Department of Electronics, AGH University of Science and Technology. His research interests include computer vision, pattern recognition, as well as development of programmable devices and embedded systems. He is an author or a co-author of over eighty conference and journal papers and four books including An Introduction to 3D Computer Vision Techniques and Algorithms published by Wiley. Dr. Cyganek is a member of the IEEE, IAPR and SIAM.

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Kamis, 06 November 2014

PDF Ebook Textbook of Fabric Science: Fundamentals to FinishingBy Seema Sekhri

PDF Ebook Textbook of Fabric Science: Fundamentals to FinishingBy Seema Sekhri

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Textbook of Fabric Science: Fundamentals to FinishingBy Seema Sekhri

Textbook of Fabric Science: Fundamentals to FinishingBy Seema Sekhri


Textbook of Fabric Science: Fundamentals to FinishingBy Seema Sekhri


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Textbook of Fabric Science: Fundamentals to FinishingBy Seema Sekhri

This book is a small step in the direction of giving an Indian perspective in understanding the world of fabrics by explaining the factors that contribute to the aesthetics as well as performance of a textile product.

Organised in five parts, this book adopts a systematic approach in defining and exploring the concepts of fabric science. Part I (Fundamentals) discusses the history, composition, classification and properties of textile fibres. Part II (Fibre) focuses on the typical traits of the fibre family. Part III (Yarns) deals with yarn production and its properties. Part IV (Fabrics) covers weaving, knitting and other miscellaneous methods of fabric construction along with the emphasis on the type of fibres used in each case. Part V (Finishing) highlights the colouration and functional finishes of any fabric.

Intended for the undergraduate students of Home Science and Fabric and Apparel Science, the book will also cater to the various courses of fashion designing institutes.

KEY FEATURES
• Relevant illustrations and images to help in grasping the steps of fabric construction.
• Chapter-end exercises aimed at testing the factual knowledge, understanding and application of the concepts.
• Simple examples from everyday life to instil a sense of curiosity in the reader’s mind to know more about the intriguing world of textiles.

  • Sales Rank: #734852 in eBooks
  • Published on: 2011-01-01
  • Released on: 2011-01-01
  • Format: Kindle eBook

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