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Engineering Science Reference Machine Learning Computer Vision

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Description

Machine learning provides non-conventional and productive answers for complex problems across various fields, particularly in the realm of visually perceptive computers. By applying these specific strategies and algorithms to computer vision, researchers can achieve higher success in tasks like spatial recognition, big data collection, and image processing. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that addresses the need to understand the development and efficiency of current methods that enable machines to see. This work is essential for those studying how to improve machine perception and data processing capabilities.

Key Features

This book by Engineering Science Reference explores how machine learning algorithms improve computer vision tasks.

Learn about applying machine learning strategies to enhance spatial recognition and image processing.

The text covers methods for big data collection within the field of visually perceptive computers.

Research included focuses on the development and efficiency of current methods that enable machines to see.

This collection provides innovative research for addressing problems in various technical fields.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 October 2019
Listed Since
05 February 2020

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