Contextual Image Classification: Understanding Visual Data for Effective Classification

· Computer Vision Кніга 83 · One Billion Knowledgeable · Агучана голасам апавядальніка Maxwell з дапамогай штучнага інтэлекту (ад Google)
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2 гадз 36 хв
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Агучана з дапамогай штучнага інтэлекту
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What is Contextual Image Classification


A method of classification that is based on the contextual information contained in images is referred to as contextual image classification. This method falls under the category of pattern recognition in computer vision. A "contextual" approach is one that focuses on the relationship between the pixels that are in close proximity to one another, which is also referred to as the neighborhood. The classification of the photographs by the utilization of the contextual information is the objective of this approach.


How you will benefit


(I) Insights, and validations about the following topics:


Chapter 1: Contextual image classification


Chapter 2: Pattern recognition


Chapter 3: Gaussian process


Chapter 4: LPBoost


Chapter 5: One-shot learning (computer vision)


Chapter 6: Least-squares support vector machine


Chapter 7: Fraunhofer diffraction equation


Chapter 8: Symmetry in quantum mechanics


Chapter 9: Bayesian hierarchical modeling


Chapter 10: Paden-Kahan subproblems


(II) Answering the public top questions about contextual image classification.


(III) Real world examples for the usage of contextual image classification in many fields.


Who this book is for


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Contextual Image Classification.

Звесткі пра аўтара

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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