Pattern Recognition and Computer Vision: Unlocking the Potential of Visual Data

Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2024, Guangzhou, China, November 23-26, 2024, Proceedings, Part IV (Lecture Notes in Computer Science Book 11259)

by Elijah Meeks

4.3 out of 5

Language	:	English
File size	:	80773 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	638 pages

FREE

Pattern recognition and computer vision are two of the most important and rapidly growing fields in artificial intelligence. They allow computers to understand and interpret visual data, which has a wide range of applications, from self-driving cars to medical diagnosis.

This book provides a comprehensive overview of the field of pattern recognition and computer vision. It covers the latest advances in machine learning and deep learning, as well as the most common applications of these technologies.

What is Pattern Recognition?

Pattern recognition is the process of identifying and classifying patterns in data. This can be done with a variety of techniques, including:

• Supervised learning: In supervised learning, the computer is trained on a set of labeled data. This data is used to learn a model that can then be used to classify new data.
• Unsupervised learning: In unsupervised learning, the computer is not given any labeled data. Instead, it must learn to identify patterns in the data on its own.
• Reinforcement learning: In reinforcement learning, the computer learns by trial and error. It is given a set of rewards and punishments for its actions, and it learns to choose actions that maximize its rewards.

What is Computer Vision?

Computer vision is the field of computer science that deals with the understanding and interpretation of visual data. This data can come from a variety of sources, including cameras, sensors, and medical imaging devices.

Computer vision tasks include:

• Image classification: Identifying the objects or scenes in an image.
• Object detection: Locating the objects in an image.
• Facial recognition: Identifying the faces in an image.
• Medical imaging: Analyzing medical images to diagnose diseases.
• Remote sensing: Analyzing satellite images to monitor the Earth's surface.

Applications of Pattern Recognition and Computer Vision

Pattern recognition and computer vision have a wide range of applications, including:

• Self-driving cars: Pattern recognition and computer vision are used to help self-driving cars navigate the road.
• Medical diagnosis: Pattern recognition and computer vision are used to help doctors diagnose diseases by analyzing medical images.
• Remote sensing: Pattern recognition and computer vision are used to analyze satellite images to monitor the Earth's surface.
• Security: Pattern recognition and computer vision are used to identify faces and other objects in security footage.
• Manufacturing: Pattern recognition and computer vision are used to inspect products for defects.

Pattern recognition and computer vision are two of the most important and rapidly growing fields in artificial intelligence. They have a wide range of applications, from self-driving cars to medical diagnosis. This book provides a comprehensive overview of the field, covering the latest advances and applications.

If you are interested in learning more about pattern recognition and computer vision, this book is the perfect place to start.

Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2024, Guangzhou, China, November 23-26, 2024, Proceedings, Part IV (Lecture Notes in Computer Science Book 11259)

by Elijah Meeks

4.3 out of 5

Language	:	English
File size	:	80773 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	638 pages

FREE