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Computer Vision and Machine Learning in Sustainable Mobility

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)

This book presents the 2nd International Conference on Artificial Intelligence and Computer Visions (AICV 2021) proceeding, which took;

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Computer Vision for Assistive Healthcare

learning and how language processing and computer graphics cooperate with robotics to provide such tools. Users will learn about the emerging;

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Machine Learning for OpenCV 4

understanding the new features and setting up OpenCV 4 to build your computer vision applications. You will explore the fundamentals of machine learning;

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Challenges and Applications for Implementing Machine Learning in Computer Vision

efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a;

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Challenges and Applications for Implementing Machine Learning in Computer Vision

efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a;

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Computer Vision: Principles, Algorithms, Applications, Learning

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and;

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Computer Analysis of Images and Patterns

and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019;

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Classification, Parameter Estimation and State Estimation

growth in image processing and intelligent computer vision technology. Advancements in machine learning methods especially among adaboost;

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Mastering OpenCV 4 with Python

Create computer vision and deep learning web applications Who this book is forThis book is designed for computer vision developers, engineers;

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Evolutionary Synthesis of Pattern Recognition Systems

in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data;

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Image Classification Using Python and Techniques of Computer Vision and Machine Learning

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Computer Vision Projects with OpenCV and Python 3

learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful;

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Practical Machine Learning with Rust

, you'll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust;

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Pattern Recognition and Image Analysis

. They were organized in topical sections named: Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing;

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Symbolic Visual Learning

Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning.;

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Linear Algebra and Optimization with Applications to Machine Learning - Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning

This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied;

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Advanced Machine Vision Paradigms for Medical Image Analysis

of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision;

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Computer Vision Projects with PyTorch

will be able to build your own computer vision projects using transfer learning and PyTorch. What You Will Learn Solve problems;

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Pattern Recognition and Computer Vision

Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully;

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Pattern Recognition and Computer Vision

Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully;

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Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition

Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order;

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Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition

Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order;

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Computer Vision Systems

learning vision systems; cognitive vision systems; movement analytics and gesture recognition for human-machine collaboration in industry;

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Learning OpenCV 3 Computer Vision with Python -

. Learning the basic concepts behind computer vision algorithms, models, and OpenCV's API will enable the development of all sorts of real-world;

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Automated Machine Learning and Meta-Learning for Multimedia

practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data;

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Dynamic Vision

impact on computer vision and machine learning research at large. It raises many challenging issues and provides a good vehicle for examining;

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