Visual Object Recognition (Synthesis Lectures on Artificial Intelligence and Machine Learning)
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Visual Object Recognition (Synthesis Lectures on Artificial Intelligence and Machine Learning)

by Kristen Grauman, Bastian Leibe

artificial intelligence computer vision Machine Learning
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Visual Object Recognition offers a comprehensive overview of techniques in artificial intelligence and machine learning for identifying objects in visual data. Authored by Kristen Grauman and Bastian Leibe, this synthesis lecture provides essential insights into the core methods driving advancements in AI visual processing and recognition systems.

About This Book

Visual Object Recognition is part of the Synthesis Lectures on Artificial Intelligence and Machine Learning series. It addresses key concepts in recognizing objects through visual data processing.

The work by Kristen Grauman and Bastian Leibe focuses on foundational techniques in AI for interpreting visual information. It serves as an educational resource for understanding machine learning applications in recognition tasks.

This lecture contributes to the broader field of artificial intelligence by synthesizing current approaches to object detection and classification.

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I will be using this book for: